Contributors: L. Carrea (University of Reading), C.J. Merchant (University of Reading), B. Calmettes (CLS), N. Taburet (CLS)
Issued by: L. Carrea, C.J. Merchant
Date:
Official reference number service contract: 2021/C3S2_312a_Lot4_EODC/SC1
Ref: C3S2_312a_Lot4.WP2-FDDP-LK-v1_202212_LSWT_PUGS-v4_i1.1
History of modifications
List of datasets covered by this document
Related documents
Acronyms
General definitions
L2P – Geophysical variables derived from Level 1 source data on the Level 1 grid (typically the satellite swath projection). Ancillary data and metadata added following Group for High Resolution Seas Surface Temperature (GHRSST) Data Specification.
L3U – Level 3 Un-collated data are L2 data granules remapped to a regular latitude/longitude grid without combining observations from multiple source files. L3U files will typically be "sparse", corresponding to a single satellite orbit.
L3C – Level 3 Collated data are observations from a single instrument combined into a space-time grid. A typical L3C file may contain all the observations from a single instrument in a 24-hour period.
L3S – Level 3 Super-collated data are observations from more than one satellite that have been gridded together into a single grid-cell estimate, for those periods where more than one satellite data stream delivering the geophysical quantity has been available.
Brokered dataset – Dataset provided by another institution/initiative and not produced within this service.
Scope of the document
This document is the user guide for the Lake Surface Water Temperature (LSWT) v4.5 product in the Hydrology service of Copernicus Climate Change Service (C3S). This document is applicable to both components of this dataset: the brokered timeseries from the European Space Agency (ESA) Climate Change Initiative (CCI) Lakes project and the C3S extension in time produced within the Copernicus Climate Change Service. The brokered and extended Climate Data Records (CDRs) are intended to be used seamlessly together by users.
The main aim of the document is to enable the users to read and use the data and to aid them in understanding its features and limitations. Details of the data format are provided including: data and flag variables, metadata, and naming conventions. The Appendix A - Specifications contains the specification of the product, based on the statements of the lake Essential Climate Variable (ECV) from Global Climate Observing System (GCOS). The Appendix B - List of lakes, contains the list of the 2024 lakes in the LSWT v4.5.
Note that internally to C3S, the product referred to is contractually "CDR V4.0". In this document, the versioning and product name relevant to users is employed ("LSWT v4.5").
Executive summary
The C3S Lake production system (C3S ECV LK) provides an operational service, generating lake surface water temperature and lake water level climate datasets for a wide variety of users within the climate change community. The present document covers the CDR for lake water temperature product, LSWT v4.5. This product includes a static, brokered timeseries from 1995 through end-2020 produced within the ESA CCI Lakes project [Carrea et al, 2023], and an ongoing extension in time of the record from Jan-2021 onwards, generated within the Hydrology service of C3S, providing an operational annual update to the LSWT record in line with user needs.
The LSWT product has been attempted for the 2024 lakes selected within the ESA CCI Lakes project. For 12 of the 2024 lakes, no LSWT could be retrieved at all. The list of the lakes is available at https://climate.esa.int/en/projects/lakes/data/ and in a browsable table: https://gws-access.jasmin.ac.uk/public/cds_c3s_lakes/CCI_LAKES/CCI_LAKE_LIST_v2/LAKE_LIST_MASK_CCI_v2_UoR_fv1.0.html accessible at http://www.laketemp.net/home_CCI/LMPolygons.php
This document describes the key points about the data set generation and product contents and format needed by users intending to apply the CDR. In particular, Chapter 1 contains a description of the data in the CDR and a brief description of the water surface height estimation process. A detailed description of the algorithm is included in the Algorithm Technical Basis Document (ATBD). Chapter 2 contains a description of the C3S lake surface water temperature product including the description of the data in the NetCDF files and the product characteristics in terms of temporal and spatial coverage and resolution. Chapter 3 recalls the requirements as defined by the GCOS and the results obtained in the C3S Climate Data Record V4.0. The last chapter includes information on the use of the data, with examples of metadata and figures.
The Product User Guide and Specification (PUGS) is a self-contained document which gathers all necessary information to use the Lake Surface Water Temperature products in an efficient and reliable way.
Product Change Log
The following Table 1, provides an overview of the differences between different versions of the product up-to, and including, the current version, with algorithmic versions being provided in Table 2.
Table 1: Changes in the product between versions.
Product Version (delivery version) | Product Changes |
V4.5 (CDR v4.0) | CDR produced until 2022-09-30. This contains LWST measurement for 2012 (of 2024) Lakes. The dataset is brokered from the ESA CCI LAKES LSWT dataset until 31/12/2020. |
V4.2 (CDR v3.0) | CDR produced until 2020-10-31 and consists of a temporal extension of CDR v2.0 for the 979 (of 1000) lakes. |
V4.0 (CDR v2.0) | CDR produced until 31-08-2019 and it consists of a temporal extension of CDR v1.0 for 979 (of 1000) lakes. The validation of the full CDR is improved by the acquisition/quality control of new in situ measurements. |
V4.0 (CDR v1.0) | First release of the dataset. CDR produced until 2018-10-31. This contains LWST measurement for 979 (of 1000) Lakes. The dataset is brokered from GloboLakes LSWT dataset until end of 2016. |
Table 2: Algorithmic versions and temporal coverage of the CDR v4.0
Temporal coverage | Algorithm version | Source |
Jan 1995 to Dec 2020 | LSWT v4.5 [D3] | ESA CCI LAKES |
Jan 2021 to Sep 2022 | LSWT v4.5 [D3] | C3S |
Data description
Lake Surface Water Temperature (LSWT) is the surface expression of the thermal structure of lakes and is changing in response to climatic trends. LSWT is a very important variable for climate change studies, water budget analysis (due to its link to evaporation), lake physical and ecological modelling, and numerical weather prediction (NWP).
The retrieval methodology
Below, the retrieval methodology of this product is shortly summarized. For full details of the basis of the data, refer to the Algorithm Theoretical Basis Document (ATBD) [D3].
The algorithm to derive LSWT products from imagery of visible and infrared radiometers consists of many components which aim to retrieve the LSWT from the observed reflectance and brightness temperature for only-water pixels. The core of the algorithm is the retrieval using Optimal Estimation (OE) of LSWT given the observations and prior simulations. The other components of the algorithm prepare the inputs for the retrieval part, namely simulate the brightness temperatures and classify a pixel as water or non-water. Finally, the observations are gridded in a regular 0.05o resolution grid and subsequently a cross-sensor adjustment is estimated and applied in order to obtain a harmonized product.
Overview
Preparatory processing: This includes orbit file reading, validity checks, association of auxiliary information to the orbit file being processed (including prior fields from NWP, where relevant), and any pre-processing adjustment to the data themselves.
Classification: Within this step, valid pixels for LSWT retrieval are identified. Although this step is sometimes referred to as cloud detection, it also involves identifying which image pixels cover only lake water (no coast or islands within the pixel), and exclusion of pixels affected by ice (for which LSWT cannot be obtained). Valid LSWT values are estimated only for pixels that are fully covered by water and free of cloud. The algorithm for the discrimination of water and non-water pixels in the presence of clouds is based on threshold tests on the Visible (VIS), Near-InfraRed (NIR), and Short-Wave-InfraRed (SWIR) channels of the Along Track Scanning Radiometer (ATSR) and Advanced Very-High Resolution Radiometer (AVHRR) instruments. The water detection algorithm is applied only to candidate pixels which have been identified as potential inland water by the water-bodies identifier mask [Carrea et al., 2015], built from the ESA CCI Land Cover Project for the 2024 ESA CCI LAKES lakes [Carrea et al., 2022].
Retrieval of LSWT (geophysical inversion): For pixels classified as water, LSWT is calculated dynamically given prior information with the Optimal Estimation technique [MacCallum and Merchant, 2012, Carrea et al., 2023]. The prior information comprises NWP fields as inputs to a radiative transfer model, whose simulations in comparison to the observations are used in the retrieval. The LSWT is estimated for each (cloud-free) water pixel using joint optimal estimation of surface temperature and Total Column Water Vapour (TCWV), given the simulations and observations. The form of OE used is to return the Maximum A-posteriori Probability (MAP) assuming Gaussian error characteristics. OE also gives an uncertainty estimate for each retrieval. Quality levels are also estimated which reflects the degree of confidence in the validity of the uncertainty estimate (not the magnitude of data uncertainty). We refer the readers to the ATBD [D3] for more detailed description.
Gridding/averaging: The algorithm grids the full resolution imagery (L2P) into a L3U product on a 0.05o grid.
Daily collation: The output of the previous step (L3U product) is comprised of 14 to 15 orbits each day per sensor. These are collated to produce one file for each 24-hour period, corresponding to day-time observations. The average of the best quality L3U observations from all available sensors is used as LSWT for each cell in the L3S.
Inter-sensor adjustment: To stabilise the record with respect to changes in satellite sensor, an adjustment using overlaps of sensors is made, using the LSWTs from the AVHRR onboard the MetOp A satellite as the (unadjusted) reference. This is valid for all input data except data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the TERRA satellite, in which case fixed adjustments of 0.19 K and 0.11 K has been applied for LSWTs of quality level 4 and 5 respectively for all the lakes. MODIS LSWTs of quality level less than 4 have not been utilised for this dataset [Carrea et al., 2023].
Input data
Input data are shown in Figure 1 and briefly described below.
Figure 1: Input data for the ESA CCI LAKES brokered CDR (blue) and for the C3S extension CDR (red).
- ATSR L1b:
For the ESA CCI LAKES LSWT v4.5, L1b data from the following sensors have been processed to produce LSWT:
- ATSR2 on the ESR-2 platform from 1995 to 2003
- Advanced Along Track Scanning Radiometer (AATSR) on the Envisat platform from 2002 to 2012
- MODIS L1b:
For the ESA CCI LAKES LSWT v4.5, L1b data from the following sensors have been processed to produce LSWT:
- MODIS on the Terra platform from 2000 to 2020
For the LSWT v4.5 C3S extension, L1b data from the following sensors have been processed to produce LSWT:
- MODIS on the Terra platform from 2021 to 2022
- AVHRR L1b:
For the ESA CCI LAKES LSWT v4.5, L1b data from the following sensors have been processed to produce LSWT:
- AVHRR on the MetOp A platform from 2007 to 2019
- AVHRR on the MetOp B platform from 2012 to 2019
- SLSTR L1b:
For the ESA CCI LAKES LSWT v4.5, L1b data from the following sensors have been processed to produce LSWT:
- Sea and Land Surface Temperature Radiometer (SLSTR) on the Sentinel-3A platform from 2016 to 2020
- SLSTR on the Sentinel-3B platform for the year 2020
For the LSWT v4.5 C3S extension, L1b data from the following sensors have been processed to produce LSWT
- SLSTR on the Sentinel-3A and Sentinel-3B platform from 2021 to Sep 2022
In addition to the L1b data, the auxiliary data inputs are NWP data and a lake mask as described in the Overview and in [Carrea et al., 2023].
Limitations of the product
In the following, the known limitations of the LSWT v4.5 product are listed.
The water/no-water classification algorithm relies on threshold tests, which ideally would be tuned to individual lakes (since lakes may have different reflectivities). Presently, the water detection algorithm uses one generic set of thresholds for all the lakes. For any classification scheme, some water pixels may have not been detected as water and some non-water pixels may have been included in the set of pixel where the retrieval has been applied. The classification scheme is fuzzy-like: the confidence of the water detection is captured in a water detection score which is used (together with other parameters) to set the value of the LSWT quality levels.
The LSWT quality levels range from 2 (suspect/marginal quality) to 5 (best quality). For most applications, we recommend use of quality levels 5 only, or 4 and 5. However, LSWT with quality levels = 2 and 3 are present in the product, and users can assess their usefulness for their own application.
The emissivity assumed in the LSWT retrieval is always set to that of fresh water, and for highly saline lakes, this may introduce some bias (whose magnitude is yet to be assessed, but is likely to be relatively small).
The retrieved LSWT reflects the skin temperature of the lake (the radiating layer of surface water), and a cool offset of ~ 0.2 K should be expected relative to sub-surface water temperature measurements.
The temporal density of observations of any particular quality varies greatly between lakes. Lakes that are narrow (only a couple of kilometres across) generally obtain few water-only pixels with these sensors (whose best resolution is 1 km), even if the lake is extensive and its overall area is large. Some lakes that are targeted in the products, but whose geometry is unfavourable, may have few or no high quality LSWTs associated with them. Some targeted lakes (such as lake 799, i.e., the Hawizeh Marshes in Iran) do not seem to contain pixels of pure water, at least since 1995. Furthermore, prior to the availability of global MODIS (Terra) observations (year 2000), the temporal density of observations is generally lower because of the narrower swath of the ATSR series instruments.
Product description
The product provides an estimation of lake surface water temperature at the time when a given satellite overpasses the lake and no clouds are present. It also contains the uncertainty and the quality level associated with this measurement and the lake mask with the lake identifiers as listed in Appendix B [Carrea et al, 2022]. The product also contains the metadata necessary for the correct use of the data.
Product content
The product contains all the descriptive metadata in the global attributes of the netCDF file (Table 3):
Table 3: Metadata (global attribute) included in the product files
Attribute | Value |
title | Copernicus Climate Change Service (C3S) Lake Surface Water Temperature L3S product |
summary | L3S product from the ESA CCI project, produced using the LSWT 4.5 algorithm. |
citation | Carrea, L., Crétaux, J.-F., Liu, X., Wu, Y., Bergé-Nguyen, M., Calmettes, B., Duguay, C., Jiang, D., Merchant, C.J., Mueller, D., Selmes, N., Simis, S., Spyrakos, E., Stelzer, K., Warren, M., Yesou, H., Zhang, D. (2022): ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0.2. NERC EDS Centre for Environmental Data Analysis, 06 July 2022. http://dx.doi.org/10.5285/a07deacaffb8453e93d57ee214676304; Carrea, L., Crétaux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z |
license | Creative Commons Attribution 4.0 International (CC-BY 4.0, https://creativecommons.org/licenses/by/4.0/) |
reference | |
institution | C3S, University of Reading |
history | University of Reading LSWT v4.5, created with using GBCS library v2.6.1-146-gfe50b81 |
id | C3S-L3S-CDR |
product_version | v4.5 |
uuid | universally unique identifier |
tracking_id | same as uuid |
netcdf_version_id | 4.6.1 |
source | id of L1b and auxiliary data files |
platform | the platform of the sensor used to create the product |
sensor | the sensor used to create the product |
Metadata_Conventions | Unidata Dataset Discovery v1.0 |
Conventions | CF-1.8 |
gemet_keywords | inland water; temperature; climate; seasonal variations; hydrology; limnology; environmental data; environmental monitoring; monitoring; remote sensing |
gcmd_keywords | LAKES/RESERVOIRS |
iso19115_topic_categories | Environment; Inland water; Geoscientific Information |
standard_name_vocabulary | NetCDF Climate and Forecast (CF) Metadata Convention |
acknowledgment | Funded by Copernicus Climate Change Service. Use of these data should acknowledge the Copernicus Climate Change Service. |
creator_name | University of Reading |
creator_email | |
creator_url | http://www.laketemp.net/home/; https://www.reading.ac.uk/meteorology/ |
creator_processing_institution | These data were produced on the JASMIN infrastructure at STFC as part of the C3S Hydrology project. |
project | Copernicus Climate Change Service (C3S) Hydrology |
publisher_name | Copernicus Climate data Store |
publisher_url | |
publisher_support | |
date_created | date in which the file was created YYYY-MM-DDTHH:MM:SSZ |
time_coverage_start | YYYYMMDDTHHMMSSZ |
time_coverage_end | YYYYMMDDTHHMMSSZ |
time_coverage_duration | 1 day |
geospatial_lat_units | degrees_north |
geospatial_lat_resolution | 0.05 |
geospatial_lon_units | degrees_east |
geospatial_lon_resolution | 0.05 |
geospatial_vertical_min | 0 |
geospatial_lat_min | -90.0 |
geospatial_lat_max | 90.0 |
geospatial_lon_min | -180.0 |
geospatial_lon_max | 180.0 |
northernmost_latitude | 90.0 |
southernmost_latitude | -90.0 |
easternmost_longitude | -180.0 |
westernmost_longitude | 180.0 |
processing_level | L3S |
cdm_data_type | grid |
source_file | name of the file used as input in the last step of the processing chain |
The data are global per-day files in netCDF-4 format and are guided by the standard specification defined by the Group for High Resolution Sea Surface Temperature (GHRSST) [D6]. The file names have the following format:
<Date><Time>-<RDAC>-<Level>-LSWT-<Dataset>-fv01.0.nc
where <Date> is in the form YYYYMMDD; <Time> is HHMMSS; <RDAC> indicates which project generated the dataset (either ESACCI_LAKES or C3S); <Level> is the processing level; <Dataset> indicates the scientific version number, which is v4.5. Finally, fv01.0 indicates the file version. An example of filename is:
20100101120000-ESACCI_LAKES-L3S-LSWT-v4.5-fv01.0.nc
A summary of the key data fields within the files is given below.
Table 4: Variables in the Lake Surface Water Temperature product
Variable name | Units | Description |
lat | degrees | The latitudes of the grid cell centres |
lon | degrees | The longitudes of the grid cell centres |
lake_surface_water_temperature | K | Best estimate of LSWTskin as observed by the satellite |
lswt_uncertainty | K | Uncertainty in the LSWT at each location |
quality_level | N/A | Quality level of the LSWT: 0 for no data; 1 for bad data; 2 marginal/suspect data; 3 for low quality; 4 for good quality; 5 for best quality |
lakeid | N/A | Lake mask with ESA CCI LAKES identifiers |
The level 3 data are provided as global per-day files, on a 0.05° regular latitude-longitude grid and hence the dimension of the data fields is 7200 in longitude and 3600 in latitude. The fields also have a time dimension, which always has a length of one.
Product characteristics
Projection and grid information
Longitude and latitude values are expressed with respect to the WGS84 ellipsoid.
Spatial information
The level 3 data are provided on a 0.05° regular latitude-longitude grid and hence the dimension of the data fields is 7200 in longitude and 3600 in latitude. LSWT retrieval has been attempted for the 2024 lakes selected in the ESA CCI LAKES project and only for 12 lakes LSWT could not be retrieved at all.
Temporal information
The fields have a time dimension, which always has a length of one.
Lake Surface Water Temperature product consists of daily files. Note these do not (and are not expected to) contain spatially complete temperatures for all the targeted lakes each day, because of limitations of satellite swaths and obscuring cloud cover.
Target requirements
The target requirements and the gap with the current product characteristics are described in the Target Requirement and Gap Analysis Document [D1]. Table 5 summarizes the characteristics of the C3S LSWT product and their contrast with target requirements based on GCOS. See the Product Quality Assessment Report (PQAR) [D5] for an assessment of product quality.
Table 5 : Target and Threshold user requirements compared to the characteristics of the LSWT v4.5 product.
Property | Target | Threshold | Product |
Spatial Coverage | Global | Global | Global |
Spatial Resolution | 300m | 0.1o | 0.05 o |
Temporal Coverage | More than 30 years | 10 years | 28 years |
Temporal Resolution | Daily | Weekly | Daily files, but effective temporal resolution is less than daily and varies through the dataset and between lakes. |
Standard uncertainty | 0.25 K | 1 K | Variable, typically ~0.6 K |
Stability | 0.01 K/yr | 0.01 K/yr | The stability achieved is not yet well quantified. |
Data usage information
File naming convention
The data files are in netCDF-4 classic format and are adapted for C3S from the ESA CCI LAKES LSWT product. The file names have the format:
<Date><Time>-<RDAC>-<Level>-LSWT-<Dataset>-fv01.0.nc
Note:
- fv01.0 refers to the file version.
Table 6: Filenaming convention components
Component | Definition | Description |
<Date> | YYYYMMDD | The identifying date for this file in ISO8601 basic format |
<Time> | HHMMSS | The identifying time for this file in ISO8601 basic format |
<RDAC> | ESACCI_LAKES or C3S | The RDAC where the file was created |
<Level> | L3S | The data processing level |
<Dataset> | v4.5 | Indicates the scientific version number |
Date
The identifying date for this file, using the ISO8601 basic format: YYYYMMDD.
Time
The identifying time for this file in Universal Time Coordinate (UTC), using the ISO8601 basic format: HHMMSS. The time used depends on the processing level of the dataset:
L3S: centre time of collation window (120000 for daily files)
RDAC
GHRSST Regional Data Assembly Centre (RDAC) where the dataset was generated. Two codes are used for C3S products:
C3S: Copernicus Climate Change Service
ESACCI_LAKES: European Space Agency Climate Change Initiative LAKES
Level
The GHRSST processing level for this product will be L3S.
Dataset
Indicates the scientific version number of the product. The current string in use is:
v4.5
Data format
The data files are in netCDF-4 format and are CF-compliant [D7], following the ESA CCI LAKES data format.
All L3S are on a global regular latitude/longitude grid.
netCDF Variable attributes
Variables in the netCDF files will include the standard metadata attributes listed in Table 7. These are recognised by most tools and utilities for working with netCDF files.
Table 7: Standard variable attributes.
Attribute name | Description |
_FillValue | The number put into the data arrays where there are no valid data (before applying the scale_factor and add_offset attributes). |
long_name | A descriptive name for the data. |
standard_name | A unique descriptive name for the data, taken from the CF conventions [D7], if available. |
units | The units of the data after applying the scale_factor and add_offset conversion. |
add_offset | After applying scale_factor below, add this to obtain the data in the units specified in the units attribute. |
scale_factor | Multiply the data stored in the netCDF file by this number. |
valid_min | The minimum valid value of the data (before applying scale_factor and add_offset). |
valid_max | The maximum valid value of the data (before applying scale_factor and add_offset). |
comment | Miscellaneous information. |
Coordinate grid
The coordinate variables are listed in Table 8 and discussed in the following sections.
Table 8: Coordinate variables
Variable name | Description |
lat | Central latitude of each grid cell |
lon | Central longitude of each grid cell |
time | Reference time of LSWT file |
Time coordinate
All LSWT files include time as a dimension and coordinate variable to represent the reference time of the LSWT data array. The reference time used follows GHRSST Data Specification (GDS) [D6]:
L3S: centre time of collation window (midday for daily files)
Regular latitude/longitude grid (L3S)
Level 3 files are stored on a global regular latitude/longitude grid and variables have the following dimensions:
time: UNLIMITED (1)
lat:Number of latitude points (3600)
lon:Number of longitude points (7200)
The resolution used for the products is 0.05° hence the full size of the arrays is 7200x3600. The time dimension is specified as unlimited, allowing standard netCDF tools to easily concatenate and manipulate multiple files, but each L3 file will be distributed with a single time slice (corresponding to a day).
LSWT Data Variable
The data files contain one LSWT variable, the primary satellite measurement which is the temperature of the skin at the time the satellite observes it.
Table 9: LSWT data variable
Variable name | Description |
lake_surface_water_temperature | Best estimate of LSWTskin as observed by the satellite |
Quality indicator
Each pixel also has an associated quality_level which indicates the general quality of that pixel – higher values being better. Quantitative analyses should use the higher quality levels (4 or 5). Quality levels 2 and 3 may be useful for qualitative analyses, but the pixels have an increased chance of being cloud contaminated.
Table 10: Quality indicator
Variable name | Description |
quality_level | Quality level of the LSWT: |
Auxiliary variables and uncertainties
There are auxiliary variables and the total LSWT uncertainty listed in Table 11.
Table 11: Auxiliary variables and uncertainty
Variable name | Description |
lswt_uncertainty | Total uncertainty in LSWTskin |
obs_instr | The instruments used for the correspondent observation: |
flag_bias_correction | It indicates for which sensors the inter-sensor adjustment has been applied: |
lakeid_CCI | Lake mask with ESA CCI LAKES identifiers for the 2024 lakes. |
lakeid_GloboLakes | Lake mask with GloboLakes identifiers for the 1000 GloboLakes lakes. |
Product contents
Examples of the data contained in one L3S product are shown for lake Vattern in Sweden (lakeid=96). Figure 2 shows the LSWT on the 15-Sep-2022, Figure 3 shows the quality levels, Figure 4 shows the LSWT uncertainty and Figure 5 shows the instruments used to create the product. In each of the plots the lake mask [Carrea et al, 2022] is plotted in white to indicate which are the pixels where the LSWT has been attempted. These pixels define the lake extent.
Figure 2: LSWT for lake Vattern in Sweden on the 15-Sep-2022.
Figure 3: Quality levels for lake Vattern in Sweden on the 15-Sep-2022.
Figure 4: LSWT uncertainty for lake Vattern in Sweden on the 15-Sep-2022.
Figure 5: Instruments used for each pixel to create the C3S product for lake Vattern in Sweden on the 15-Sep-2022.
Although the uncertainty is quite low in coastal areas, not all the pixels have high quality levels. Around coastal areas where the distance to land is lower than 1.5km, lower quality levels can be found in general. In Figure 4, an area of higher uncertainty can be seen with high uncertainty levels with values close to 1 while the LSWT quality level in the same area is 5 (best quality level). This demonstrates that the two variables have to be used together for a better understanding of the data. The uncertainty expresses the interval within which the result can be found and the quality level expresses the confidence in the estimate.
An example of the content of one of the file (header and variables) is reported in Table 12.
.
Table 12: Header and variable metadata for the file for the 01-Jun-1995.
Example file structure (ncdump output): netcdf \19950601-ESACCI_LAKES-L3S-LSWT-CDR-4.5-fv01.0.nc { dimensions: lat = 3600 ; lon = 7200 ; time = UNLIMITED ; // (1 currently) variables: float lat(lat) ; lat:long_name = "latitude" ; lat:standard_name = "latitude" ; lat:units = "degrees_north" ; lat:valid_min = -90.f ; lat:valid_max = 90.f ; lat:axis = "Y" ; lat:reference_datum = "geographical coordinates, WGS84 projection" ; float lon(lon) ; lon:long_name = "longitude" ; lon:standard_name = "longitude" ; lon:units = "degrees_east" ; lon:valid_min = -180.f ; lon:valid_max = 180.f ; lon:axis = "X" ; lon:reference_datum = "geographical coordinates, WGS84 projection" ; int time(time) ; time:long_name = "reference time of the lswt file" ; time:standard_name = "time" ; time:units = "seconds since 1981-01-01 00:00:00" ; time:calendar = "gregorian" ;short lake_surface_water_temperature(time, lat, lon) ; short lake_surface_water_temperature(time, lat, lon) ; lake_surface_water_temperature:_FillValue = -32768s ; lake_surface_water_temperature:units = "kelvin" ; lake_surface_water_temperature:scale_factor = 0.01f ; lake_surface_water_temperature:add_offset = 273.15f ; lake_surface_water_temperature:long_name = "lake surface skin water temperature" ; lake_surface_water_temperature:valid_min = -200s ; lake_surface_water_temperature:valid_max = 5000s ; lake_surface_water_temperature:comment = "The observations from different instruments have been combined." ; lake_surface_water_temperature:ancillary_variables = "lswt_uncertainty lswt_quality_level lswt_obs_instr lswt_flag_bias_correction" ; short lswt_uncertainty(time, lat, lon) ; lswt_uncertainty:_FillValue = -32768s ; lswt_uncertainty:units = "kelvin" ; lswt_uncertainty:long_name = "lake surface water temperature total uncertainty" ; lswt_uncertainty:scale_factor = 0.001f ; lswt_uncertainty:add_offset = 0.f ; lswt_uncertainty:valid_min = 0s ; lswt_uncertainty:valid_max = 10000s ; lswt_uncertainty:comment = "Total uncertainty was computed with LSWT uncertainties from the Optimal Estimation and bias correction uncertainty." ; byte lswt_quality_level(time, lat, lon) ; lswt_quality_level:_FillValue = 0b ; lswt_quality_level:flag_meanings = "bad_data worst_quality low_quality acceptable_quality best_quality" ; lswt_quality_level:flag_masks = 1b, 2b, 3b, 4b, 5b ; lswt_quality_level:long_name = "lake surface water temperature quality levels" ; lswt_quality_level:valid_min = 1b ; lswt_quality_level:valid_max = 5b ; lswt_quality_level:comment = "These are overall quality indicators and they are important to properly use the data." ; byte lswt_obs_instr(time, lat, lon) ; lswt_obs_instr:_FillValue = 0b ; lswt_obs_instr:long_name = "lake surface water temperature observation instruments" ; lswt_obs_instr:flag_meanings = "ATSR2 AATSR MODIS_T AVHRRA AVHRRB SLSTRA SLSTRB" ; lswt_obs_instr:flag_masks = 1b, 2b, 4b, 8b, 16b, 32b, 64b ; lswt_obs_instr:comment = "If the bit is set to 1 an observation from the correspondent instrument has been used to generate the LSWT." ; byte lswt_flag_bias_correction(time, lat, lon) ; lswt_flag_bias_correction:_FillValue = 0b ; lswt_flag_bias_correction:long_name = "lake surface water temperature bias correction flag" ; lswt_flag_bias_correction:flag_meanings = "ATSR2 AATSR ATSR2-AATSR MODIS_T MODIS_T-ATSR2 MODIS_T-AATSR MODIS_T-ATSR2-AATSR" ; lswt_flag_bias_correction:flag_masks = 1b, 2b, 3b, 4b, 5b, 6b, 7b ; lswt_flag_bias_correction:comment = "The reference instrument for the bias correction was the AVHRRMTA, consequently no bias correction has been applied to observations from the AVHRR instruments. For ATSR2 and AATSR the bias correction was estimated per lake. For MODIS an overall bias correction of +0.11 kelvin and +0.19 kelvin has been applied to the LSWT of QL=5 and QL=4 respectively for all the lakes." ; int lakeid_CCI(lat, lon) ; lakeid_CCI:_FillValue = -2147483648 ; lakeid_CCI:units = "1" ; lakeid_CCI:long_name = "CCI lake identifier" ; lakeid_CCI:valid_min = 2 ; lakeid_CCI:valid_max = 999999999 ; lakeid_CCI:comment = "CCI lake ID as defined in Carrea L., Merchant C.J., Simis S. (2022) Lake mask and distance to land dataset of 2024 lakes for the European Space Agency Climate Change Initiative Lakes v2 (Version 2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6699376" ; int lakeid_GloboLakes(lat, lon) ; lakeid_GloboLakes:_FillValue = -2147483648 ; lakeid_GloboLakes:units = "1" ; lakeid_GloboLakes:long_name = "GloboLakes lake identifier" ; lakeid_GloboLakes:valid_min = 2 ; lakeid_GloboLakes:valid_max = 999999999 ; lakeid_GloboLakes:comment = "GLWD (Global Lakes and Wetlands Database) lake ID of GloboLakes lakes as defined in Carrea L. et al. (2015) Datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates. Geoscience Data Journal, 2 (2) pp. 83-97." ; // global attributes: :title = "Copernicus Climate Change Service (C3S) Lake Surface Water Temperature L3S product" ; :summary = "L3S product from the ESA CCI project, produced using the LSWT 4.5 algorithm." ; :citation = "Carrea, L., Crétaux, J.-F., Liu, X., Wu, Y., Bergé-Nguyen, M., Calmettes, B., Duguay, C., Jiang, D., Merchant, C.J., Mueller, D., Selmes, N., Simis, S., Spyrakos, E., Stelzer, K., Warren, M., Yesou, H., Zhang, D. (2022): ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0.2. NERC EDS Centre for Environmental Data Analysis, 06 July 2022. http://dx.doi.org/10.5285/a07deacaffb8453e93d57ee214676304; Carrea, L., Crétaux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z" ; :licence = "Creative Commons Attribution 4.0 International (CC-BY 4.0, https://creativecommons.org/licenses/by/4.0/)" ; :reference = "https://cds.climate.copernicus.eu" ; :institution = "C3S, University of Reading" ; :history = "University of Reading LSWT v4.5, created with using GBCS library v2.6.1-146-gfe50b81_RES20" ; :id = "C3S-L3S-CDR" ; :product_version = "4.5" ; :uuid = "17dbb188-98aa-11ed-84fa-149ecf94399a" ; :tracking_id = "17dbb188-98aa-11ed-84fa-149ecf94399a" ; :netcdf_version_id = "4.6.1" ; :source = "ATSR2-ESA-L1-v3, AATSR-ESA-L1-v3, AVHRRMTA-EUMETSAT-L1-v1, AVHRRMTB-EUMETSAT-L1-v1, SLSTRA-ESA-L1-v1, SLSTRB-ESA-L1-v1, MODIS_T-NASA-L1-v61, ERA_INTERIM-ECMWF-WSP-v1.0, ERA5-ECMWF-v1.0, CCI-Mask-v2.0" ; :platform = "ERS-2" ; :sensor = "ATSR2" ; :Metadata_Conventions = "Unidata Dataset Discovery v1.0" ; :Conventions = "CF-1.8" ; :gemet_keywords = "inland water; temperature; climate; seasonal variations; hydrology; limnology; environmental data; environmental monitoring; monitoring; remote sensing" ; :gcmd_keywords = "LAKES/RESERVOIRS" ; :iso19115_topic_categories = "Environment; Inland water; GeoscientificInformation" ; :standard_name_vocabulary = "NetCDF Climate and Forecast (CF) Metadata Convention" ; :acknowledgment = "Funded by Copernicus Climate Change Service. Use of these data should acknowledge the Copernicus Climate Change Service" ; :creator_name = "University of Reading" ; :creator_url = "http://www.laketemp.net/home/; https://www.reading.ac.uk/meteorology/" ; :creator_email = "l.carrea@reading.ac.uk" ; :creator_processing_institution = "These data were produced on the JASMIN infrastructure at STFC as part of the C3S Hydrology project" ; :project = "Copernicus Climate Change Service (C3S) Hydrology" ; :publisher_name = "Copernicus Climate data Store" ; :publisher_url = "https://cds.climate.copernicus.eu" ; :publisher_support = "https://cds.climate.copernicus.eu/cdsapp#!/usersupport" ; :date_created = "2023-01-20T10:06:23Z" ; :time_coverage_start = "19840531T000000Z" ; :time_coverage_end = "19840531T235959Z" ; :time_coverage_duration = "1 day" ; :geospatial_lat_units = "degrees_north" ; :geospatial_lat_resolution = 0.05f ; :geospatial_lon_units = "degrees_east" ; :geospatial_lon_resolution = 0.05f ; :geospatial_vertical_min = -1.e-05f ; :geospatial_lat_min = -90.f ; :geospatial_lat_max = 90.f ; :geospatial_lon_min = -180.f ; :geospatial_lon_max = 180.f ; :northernmost_latitude = 90. ; :southernmost_latitude = -90. ; :easternmost_longitude = 180. ; :westernmost_longitude = -180. ; :processing_level = "L3S" ; :cdm_data_type = "grid" ; :source_file = "19950601120000-ESACCI-L3C_GHRSST-ATSR2-CDR2.0-v02.0-fv01.0.nc" ; }
Appendix A – Specifications for L3S CDR: GCOS User Requierements for LSWT
Content of the dataset | |
Content of the main file | The data file shall contain the following information on separate layers:
|
Spatial and temporal features | |
Spatial coverage | The product shall be distributed globally based on a harmonized identification of the products. The area of the lakes must be at least 1 km x 1 km |
Temporal coverage | Times series of 10 years minimum are required |
Temporal resolution | A product with measurements with frequency up to 10 days |
Data uncertainties | |
Threshold | 1.0 K |
Target | Between 0.1 K and 0.6 K |
Format requirements | |
Format | NetCDF, CF Convention |
Appendix B – List of the 2024 ESA CCI LAKES lakes for LSWT v4.5
The table contains the list of the 2024 lakes selected within the ESA CCI LAKES project and for which the LSWT v4.5 are availble. In the table, the CCI ID is the lake identifier used in the variable lakeid_CCI which is the ESA CCI LAKES lake mask [Carrea et al, 2022], the MAX DISTANCE TO LAND is the distance to the nearest land of the point on the lake which is the furthest from land. We define this point as the lake centre [Carrea et al, 2015], and LAT CENTRE and LON CENTRE are the coordinate of the centre. The string 'Zzzz' in the NAME field refers to lakes without a name.
CCI ID | NAME | COUNTRY | MAX DISTANCE TO LAND (KM) | LAT CENTRE | LON CENTRE |
2 | lake Superior | United States;Canada | 73.5 | 47.9625 | -87.0431 |
3 | lake Victoria | Tanzania United Republic of;Uganda;Kenya | 84.1 | -0.8764 | 33.1431 |
4 | Aral sea | Uzbekistan;Kazakhstan | 51 | 44.6486 | 59.8347 |
5 | lake Huron | Canada;United States | 73.3 | 44.7208 | -82.3458 |
6 | lake Michigan | United States | 63.8 | 42.6042 | -87.0153 |
7 | lake Tanganyika | Zambia;Congo The Democratic Republic of the;Burundi;Tanzania United Republic of | 34.1 | -6.8014 | 30.0375 |
8 | lake Baykal/Baikal | Russian Federation | 33.7 | 54.1736 | 108.9736 |
9 | Great Bear lake | Canada | 39.4 | 66.0125 | -120.3764 |
10 | lake Malawi/Nyasa/Niassa | Malawi;Tanzania United Republic of;Mozambique | 34.8 | -11.6042 | 34.6375 |
11 | Great Slave lake | Canada | 44.6 | 61.3347 | -114.7958 |
12 | lake Erie | United States;Canada | 45.6 | 42.2514 | -81.1292 |
13 | lake Winnipeg | Canada | 40.1 | 53.4153 | -98.4236 |
14 | lake Chad | Nigeria;Niger;Chad | 6.4 | 13.1319 | 14.4653 |
15 | lake Ontario | Canada;United States | 36.1 | 43.6653 | -77.7625 |
16 | lake Ladoga | Russian Federation | 56.3 | 60.7653 | 31.6486 |
17 | lake Balqhash | Kazakhstan | 25.4 | 46.2903 | 74.4764 |
18 | lake Onega | Russian Federation | 25.1 | 61.6625 | 35.5319 |
19 | lago de Sobradinho | Brazil | 8.8 | -9.9042 | -42.1986 |
20 | lago Titicaca | Bolivia Plurinational State of;Peru | 23.4 | -15.7681 | -69.4569 |
21 | lago Nicaragua/Cocibolca/Granada | Nicaragua | 25.1 | 11.3569 | -85.2431 |
22 | lake Turkana | Kenya;Ethiopia | 21.9 | 3.7764 | 36.0486 |
23 | lake Athabasca | Canada | 20.6 | 59.3319 | -109.4181 |
24 | lake Volta | Ghana | 10.4 | 6.5597 | 0.0292 |
25 | Issyk Kul | Kyrgyzstan | 26.9 | 42.4236 | 77.3653 |
26 | Great Salt lake | United States | 15 | 41.2847 | -112.6875 |
27 | Michikamau lake | Canada | 10.1 | 54.0153 | -63.9986 |
28 | Reindeer lake | Canada | 8.2 | 57.5542 | -102.2014 |
29 | Vanern | Sweden | 20.3 | 59.0514 | 13.5931 |
30 | lake Albert | Uganda;Congo The Democratic Republic of the | 20.9 | 1.7764 | 31.0819 |
31 | lake Winnipegosis | Canada | 11.2 | 52.6986 | -99.9014 |
32 | Netilling lake/Foxe Basin | Canada | 16.3 | 66.6181 | -70.9931 |
33 | Kuybyshevskoye reservoir | Russian Federation | 11.6 | 54.5514 | 48.5931 |
34 | Urmia lake | Iran Islamic Republic of | 14.1 | 37.9181 | 45.2542 |
35 | lake Kariba | Zimbabwe;Zambia | 12.2 | -17.0153 | 27.8347 |
36 | lake Mweru | Congo The Democratic Republic of the;Zambia | 22.4 | -8.9931 | 28.7319 |
37 | lake Manitoba | Canada | 18.1 | 50.3958 | -98.2681 |
38 | lake Nipigon | Canada | 8.3 | 49.7264 | -88.6903 |
39 | Bratskoye reservoir | Russian Federation | 9 | 55.6375 | 101.9486 |
40 | lake Zaysan | Kazakhstan | 15.3 | 47.9014 | 84.2597 |
41 | Qinghai lake | China | 18.1 | 37.0208 | 100.2014 |
42 | lago de Cahora Bassa | Mozambique;Zimbabwe;Zambia | 8.2 | -15.6181 | 32.3069 |
43 | ozero Taymyr | Russian Federation | 10.4 | 74.5625 | 100.9764 |
44 | lake of the Woods | United States;Canada | 11.8 | 49.0847 | -94.9458 |
45 | ozero Khanka | Russian Federation;China | 28 | 45.0792 | 132.4514 |
46 | lagoa Mirim | Brazil;Uruguay | 18 | -32.6125 | -52.8125 |
47 | Rybinkskoye reservoir | Russian Federation | 17.7 | 58.4014 | 38.5208 |
48 | lake Nasser | Sudan;Egypt | 8.2 | 23.2069 | 32.7986 |
49 | Dubawnt lake | Canada | 14.3 | 63.1625 | -101.4431 |
50 | lake Peipus/Peipsi | Russian Federation;Estonia | 20.6 | 58.8208 | 27.4208 |
51 | lake Van | Turkey | 17.7 | 38.6292 | 42.7292 |
52 | represa de Tucurui | Brazil | 6.4 | -4.1347 | -49.6208 |
53 | Uvs lake | Mongolia;Russian Federation | 27.5 | 50.3069 | 92.7181 |
54 | La Grande Riviere reservoir | Canada | 4.6 | 53.8736 | -76.7069 |
55 | lake Tana | Ethiopia | 19.4 | 12.0708 | 37.4014 |
56 | Amadjuak lake | Canada | 16.7 | 64.9486 | -71.0431 |
57 | Cedar lake | Canada | 10.1 | 53.2181 | -100.1875 |
58 | lake Alakol | Kazakhstan | 15.2 | 45.9764 | 81.8097 |
59 | Khuvsgul lake | Mongolia | 15.4 | 51.2181 | 100.5125 |
61 | Volgogradskoye reservoir | Russian Federation | 5.3 | 50.3431 | 45.8569 |
62 | Iliamna lake | United States | 15.2 | 59.4653 | -155.5903 |
63 | La Grande Riviere reservoir | Canada | 7.8 | 53.8403 | -75.3847 |
64 | Tonle Sap lake | Cambodia | 16.8 | 13.0486 | 103.9264 |
65 | lago Itaipu | Brazil;Paraguay | 3.8 | -25.2042 | -54.4486 |
66 | Taihu lake | China | 16 | 31.2319 | 120.0764 |
67 | lac Kivu | Rwanda;Congo The Democratic Republic of the | 13 | -1.7931 | 29.1542 |
68 | Wollaston lake | Canada | 5.9 | 58.2125 | -103.4347 |
69 | lake Edward | Congo The Democratic Republic of the;Uganda | 17.8 | -0.3042 | 29.6181 |
71 | Tsimlyanskoye reservoir | Russian Federation | 10.3 | 47.7153 | 42.3708 |
72 | Southern Indian lake | Canada | 6 | 57.3319 | -98.3403 |
75 | Hulun lake | China | 14.4 | 48.8931 | 117.3458 |
76 | lake Mistassini | Canada | 5.4 | 51.0042 | -73.6181 |
77 | Therthar lake | Iraq | 14.8 | 33.8931 | 43.3014 |
78 | Poyang lake and Jinxi lake | China | 8.3 | 29.1319 | 116.1708 |
79 | Kakhovs'ke reservoir | Ukraine | 8.3 | 47.4958 | 34.0597 |
80 | Vilyuy dam | Russian Federation | 5.2 | 62.7097 | 111.2847 |
81 | lake Bangweulu and lake Walilupe and lake Chifunabuli | Zambia | 9.7 | -10.9792 | 29.9042 |
82 | lac Manicouagan | Canada | 4.3 | 51.2764 | -68.2986 |
83 | Nueltin lake | Canada | 4.2 | 60.4097 | -99.6069 |
84 | lago Mar Chiquita | Argentina | 25.7 | -30.4931 | -62.4819 |
85 | Sivash lake | Ukraine | 8 | 45.4208 | 35.1625 |
87 | Kremenchuk/Kremenchuts'ke reservoir | Ukraine | 9.9 | 49.2347 | 32.7819 |
88 | Zeyskoye reservoir | Russian Federation | 10.9 | 54.4347 | 127.7042 |
90 | lac Mai-Ndombe | Congo The Democratic Republic of the | 7.8 | -1.6847 | 18.2764 |
91 | Nam lake | China | 15.2 | 30.6958 | 90.4514 |
92 | ozero Chany | Russian Federation | 7.2 | 54.9514 | 77.9653 |
93 | Krasnoyarskoye reservoir | Russian Federation | 4.7 | 54.2264 | 91.4625 |
94 | General Carrera lake/lago Buenos Aires | Chile;Argentina | 9.6 | -46.4819 | -71.5153 |
95 | Vattern | Sweden | 9.9 | 58.5458 | 14.7069 |
96 | lago de Serra da Mesa | Brazil | 4 | -14.1097 | -48.2903 |
97 | Baker lake | Canada | 9.9 | 64.2097 | -95.3819 |
98 | lake Argyle | Australia | 6.2 | -16.2931 | 128.8264 |
100 | lac la Martre | Canada | 9.7 | 63.4569 | -118.1903 |
101 | laguna Madre | Mexico | 9.6 | 25.1958 | -97.5819 |
102 | Ust-ilimskoye reservoir | Russian Federation | 5 | 57.3236 | 102.3347 |
103 | Williston lake | Canada | 6.2 | 55.9847 | -123.9181 |
104 | Kamskoye/Kama reservoir | Russian Federation | 5.8 | 58.8625 | 56.2847 |
105 | Siling lake | China | 14.7 | 31.8014 | 89.0903 |
106 | Brokopondo | Suriname | 9.2 | 4.8625 | -55.0625 |
107 | lac Seul | Canada | 3.2 | 50.3153 | -92.5542 |
108 | lac de Kossou | Côte d'Ivoire | 3.5 | 7.1625 | -5.6181 |
109 | Hung-tse lake | China | 9.6 | 33.2847 | 118.7236 |
110 | lake Sakakawea | United States | 4 | 47.8069 | -102.3125 |
112 | Khantayskoye reservoir | Russian Federation | 8.9 | 67.8264 | 87.5986 |
113 | Saratovskoye reservoir | Russian Federation | 5.4 | 52.8486 | 48.4792 |
114 | lake Okeechobee | United States | 17.3 | 26.9403 | -80.7903 |
116 | Kainji reservoir | Nigeria | 10.8 | 10.4097 | 4.5653 |
117 | Argentino lake | Chile;Argentina | 9.1 | -50.2458 | -72.5014 |
118 | Gouin reservoir | Canada | 2.1 | 48.5375 | -74.5347 |
119 | lake Mweru wantipa | Zambia | 10.6 | -8.6569 | 29.7236 |
120 | lake Tengiz | Kazakhstan | 9.7 | 50.3125 | 68.8597 |
121 | Khyargas lake | Mongolia | 10.2 | 49.2042 | 93.2208 |
122 | lake Oahe | United States | 2.7 | 44.7375 | -100.6375 |
124 | Kasba lake | Canada | 9.2 | 60.3208 | -102.1208 |
125 | lake Claire | Canada | 9.6 | 58.5931 | -112.0792 |
126 | Yathkyed lake | Canada | 6.7 | 62.7431 | -98.1431 |
127 | lac la Ronge | Canada | 8 | 55.0181 | -105.0931 |
128 | lac a l'Eau Claire | Canada | 8.3 | 56.0681 | -74.1069 |
129 | represa de Ilha Solteira | Brazil | 3.9 | -20.2236 | -51.0486 |
130 | Rainy lake | United States;Canada | 3.2 | 48.5736 | -92.8014 |
131 | Kapshagay reservoir | Kazakhstan | 8.9 | 43.8542 | 77.3542 |
132 | lago de Rincon del bonete | Uruguay | 6.5 | -32.6875 | -56.0181 |
133 | Poopo lake | Bolivia Plurinational State of | 12.1 | -18.9903 | -66.9625 |
134 | rio Xingu | Brazil | 7.1 | -1.9347 | -52.2431 |
135 | Sevan lake | Armenia | 13.4 | 40.2958 | 45.3792 |
136 | ozero Vygozero | Russian Federation | 7.7 | 63.6542 | 34.6597 |
137 | Cree lake | Canada | 3.6 | 57.3431 | -106.9625 |
139 | represa de Furnas | Brazil | 2 | -20.7431 | -45.7347 |
140 | Limfjorden | Denmark | 6.5 | 56.9625 | 9.1069 |
141 | Baird inlet and Kaghasuk lake | United States | 9.2 | 60.7125 | -163.6097 |
142 | Khar-us lake | Mongolia | 11.3 | 47.9486 | 92.1514 |
143 | Sherman basin | Canada | 9 | 67.8042 | -97.5264 |
144 | Zzzz | Finland;Russian Federation | 4.1 | 69.0486 | 27.7681 |
145 | Becharof lake | United States | 11.3 | 57.9736 | -156.6208 |
146 | lake Saint Clair | Canada;United States | 13 | 42.4125 | -82.7181 |
147 | Lesser Slave lake | Canada | 9 | 55.4514 | -115.0403 |
149 | Eskimo lakes | Canada | 6.8 | 69.7569 | -130.2069 |
150 | lake Toba | Indonesia | 8.4 | 2.7903 | 98.6458 |
151 | Red (upper & lower) lake | United States | 10.3 | 47.9681 | -95.0875 |
152 | Aberdeen lake | Canada | 8.2 | 64.4875 | -98.7292 |
153 | laguna de Chapala | Mexico | 8.4 | 20.2486 | -102.9903 |
154 | embalse de Guri | Venezuela Bolivarian Republic of | 10.6 | 7.0847 | -62.9125 |
155 | lac Bienville | Canada | 3.7 | 55.1431 | -72.5931 |
156 | lake Eyasi | Venezuela Bolivarian Republic of | 9.3 | -3.5736 | 35.1542 |
157 | Paijanne | Finland | 3.8 | 61.4958 | 25.3986 |
158 | lac Saint Jean | Canada | 12.8 | 48.5597 | -71.9597 |
159 | Petit lac Opinaca and lac Low and reservoir Opinaca and lac Mischechun and lac Mistatikamekw and lac Mistamiskwas and lac Menouow and lac Wapakusi and lac Uskawanis | Canada | 3.9 | 52.3764 | -76.6708 |
160 | lake Beloye | Russian Federation | 16 | 60.1819 | 37.6375 |
161 | Salto Grande dam | Argentina;Uruguay | 3.4 | -30.9375 | -57.9097 |
162 | Contwoyto lake | Canada | 3.9 | 65.4431 | -110.2958 |
163 | Malaren | Sweden | 2.7 | 59.4931 | 16.7625 |
165 | lake Champlain | United States;Canada | 5.8 | 44.4653 | -73.3153 |
166 | Abaya lake | Ethiopia | 8.6 | 6.4958 | 37.9014 |
167 | lago O'Higgins/lago San Martin and lago Ciervo and lago Cisnes and lago Gabriel Quiroz and lago Brazo Chacabuco and lago Brazo Maipu and lago Chico | Argentina;Chile | 3.8 | -49.1292 | -72.3542 |
168 | Caniapiscau reservoir | Canada | 5.4 | 54.5014 | -69.8097 |
169 | Wholdaia lake and Anaunethaa lake | Canada | 3.1 | 60.8069 | -104.3125 |
170 | Selawik lake | United States | 12.3 | 66.4764 | -160.6569 |
171 | lago Viedma | Argentina | 9 | -49.6958 | -72.2014 |
172 | God's lake | Canada | 6.2 | 54.7514 | -94.1708 |
173 | Razazza lake | Iraq | 10.8 | 32.8208 | 43.5708 |
174 | Island lake | Canada | 2.2 | 53.7903 | -94.5014 |
175 | Songkhla lake et al | Thailand | 9.5 | 7.6847 | 100.2319 |
176 | lake Managua/lago Xolotlan | Nicaragua | 10.4 | 12.3847 | -86.3653 |
177 | lake Imandra et al | Russian Federation | 3.6 | 67.5653 | 32.8792 |
178 | Takijuq lake | Canada | 5.9 | 66.2375 | -113.1514 |
179 | Zhari Namco | China | 10 | 30.9403 | 85.4903 |
181 | Bosten lake | China | 10.1 | 41.9958 | 86.9653 |
182 | lac de Buyo | Côte d'Ivoire | 2.5 | 6.2764 | -7.1208 |
184 | Warburton bay and MacKay lake | Canada | 3.9 | 63.9569 | -111.2792 |
186 | Kumskoye reservoir | Russian Federation | 7.8 | 65.7708 | 31.7903 |
188 | represa Tres Marias | Brazil | 2.3 | -18.2458 | -45.2625 |
189 | Hottah lake | Canada | 6.9 | 65.1208 | -118.5375 |
190 | Novosibirskoye reservoir | Russian Federation | 8 | 54.7347 | 82.8347 |
191 | Bras d'Or lake | Canada | 8.7 | 45.8542 | -60.8181 |
192 | lake Ilmen | Russian Federation | 11.4 | 58.2542 | 31.2514 |
193 | Gorky reservoir | Russian Federation | 6.3 | 57.2153 | 43.0931 |
194 | Salton sea | United States | 11.9 | 33.2458 | -115.7236 |
195 | Pielinen | Finland | 4.1 | 63.2097 | 29.8764 |
197 | Garabogazkol basin | Turkmenistan | 53.2 | 41.3597 | 53.4681 |
198 | lake Nipissing | Canada | 9 | 46.2569 | -79.5958 |
199 | Capivara dam/rio Paranapanema | Brazil | 2.2 | -22.7208 | -51.2153 |
200 | lake Abitibi | Canada | 3.7 | 48.6625 | -79.8569 |
201 | Fort Peck lake | United States | 3.5 | 47.9625 | -106.4375 |
202 | Oulujarvi | Finland | 6 | 64.2986 | 27.2153 |
203 | represa de Sao Simao | Brazil | 2.5 | -18.7958 | -50.3681 |
204 | Chilika lake | India | 8.1 | 19.7736 | 85.4014 |
205 | Laguna lake | Philippines | 8.1 | 14.4181 | 121.1264 |
207 | Omullyakhskaya guba | Russian Federation | 9.4 | 72.3236 | 144.9569 |
209 | lago Llanquihue | Chile | 11.6 | -41.1236 | -72.7819 |
210 | lake Alexandrina and lake Albert | Australia | 8.6 | -35.4181 | 139.2264 |
211 | Nonacho lake | Canada | 3.4 | 61.6681 | -109.5597 |
212 | Teshekpuk lake | United States | 10.6 | 70.5819 | -153.5875 |
215 | Tangra Yumco | China | 7.6 | 31.1875 | 86.7042 |
216 | Itaparica dam/Luiz Gonzaga dam | Brazil | 3.2 | -8.8319 | -38.4875 |
217 | rrepresa Marimbondo | Brazil | 2.3 | -20.3958 | -48.9625 |
218 | ozero Khantayskoye | Russian Federation | 6.3 | 68.2792 | 89.9958 |
219 | lago Colhue Huapi | Argentina | 5.7 | -45.5792 | -68.7069 |
220 | embalse Ezequiel Ramos Mejia | Argentina | 6.6 | -39.5264 | -69.0847 |
221 | lash Wa Juwayan | Iran Islamic Republic of;Afghanistan | 5.9 | 31.5069 | 61.2875 |
222 | Peter Pond lake | Canada | 10 | 56.0208 | -108.9458 |
223 | lac Pipmuacan | Canada | 3 | 49.5875 | -70.4403 |
224 | lac Minto | Canada | 1.9 | 57.2514 | -74.8542 |
225 | South Moose lake AND Lamb lake | Canada | 7 | 53.7986 | -100.2569 |
226 | Clinton-Colden lake | Canada | 3.8 | 64.1097 | -108.5181 |
227 | Garry lake and Upper Macdougall lake | Canada | 5.4 | 65.8847 | -99.8542 |
228 | ozero Segozerskoye | Russian Federation | 9.6 | 63.2847 | 33.6403 |
229 | Zuun Tooroi lake | Russian Federation;Mongolia | 8.6 | 50.0764 | 115.8014 |
231 | Mangueira lagoon | Brazil | 5.3 | -33.0792 | -52.7347 |
232 | Point lake and Redrock lake and Rocknest lake | Canada | 2.6 | 65.1847 | -112.3708 |
233 | Chaohu lake | China | 7.8 | 31.5097 | 117.5458 |
234 | Belisario Dominguez/La Angostura | Mexico | 4.3 | 16.0431 | -92.3986 |
235 | laguna Tamiahua | Mexico | 7.3 | 21.6347 | -97.5764 |
236 | lake Simcoe | Canada | 8.4 | 44.4625 | -79.3569 |
237 | Votkinsk reservoir | Russian Federation | 4.1 | 56.8542 | 54.1403 |
238 | lago das Brisas | Brazil | 3 | -18.2986 | -48.9097 |
239 | Ulungur lake | China | 11.6 | 47.2431 | 87.2097 |
240 | ozero Pyasino | Russian Federation | 6.1 | 70.0153 | 87.7792 |
241 | Sarygamysh lake | Turkmenistan;Uzbekistan | 23.7 | 41.9542 | 57.3514 |
242 | ozero Kovdozero | Russian Federation | 3.2 | 66.6819 | 32.1708 |
243 | Toledo Bend reservoir | United States | 4.1 | 31.2958 | -93.6542 |
244 | Dead sea | Jordan;Israel;Palestine State of | 8 | 31.4597 | 35.4819 |
245 | lago de Izabal | Guatemala | 9.1 | 15.4903 | -89.1847 |
246 | Kaminak lake | Canada | 3.8 | 62.1431 | -95.1708 |
247 | Sasyqkol | Kazakhstan | 8.3 | 46.5708 | 81.0208 |
248 | reservoir aux Outardes 4 | Canada | 2.5 | 50.1847 | -69.2208 |
249 | Hirakud reservoir | India | 5.6 | 21.5764 | 83.8153 |
250 | Proletarskoye reservoir | Russian Federation | 4.6 | 46.3653 | 42.7042 |
251 | Cross lake | Canada | 2.9 | 54.6736 | -97.8181 |
252 | lac de Gras | Canada | 5.7 | 64.4653 | -110.5097 |
253 | lac Guillaume-Delisle | Canada | 4.9 | 56.2153 | -76.3264 |
254 | Ennadai lake | Canada | 4.1 | 60.8958 | -101.1569 |
255 | lac Tumba | Congo The Democratic Republic of the | 9 | -0.7069 | 18.0319 |
256 | lake Chilwa | Malawi;Mozambique | 11.6 | -15.3708 | 35.7347 |
257 | laguna de Caratasca and laguna Warunta | Honduras | 6 | 15.2958 | -83.7236 |
258 | Verkhnetulomskoye reservoir | Russian Federation | 3.5 | 68.5847 | 31.1931 |
259 | represa de Tres Irmaos | Brazil | 2.7 | -20.6931 | -51.0958 |
261 | Yang Zhuo Yong lake/Yamzho Yumco | China | 3.1 | 28.8375 | 90.6042 |
262 | lake Kulundinskoye | Russian Federation | 10.5 | 53.0181 | 79.5347 |
264 | Kamilukuak lake | Canada | 6.7 | 62.3486 | -101.5097 |
265 | bahia de Caxiuana | Brazil | 4.4 | -1.7181 | -51.3097 |
266 | Infiernillo | Mexico | 4.1 | 18.6069 | -101.7319 |
267 | lake Beysehir | Turkey | 8.1 | 37.7069 | 31.5486 |
268 | lake Biwa | Japan | 8.2 | 35.3264 | 136.1681 |
269 | Tulemalu lake | Canada | 8.6 | 62.8931 | -99.4764 |
270 | lac Evans | Canada | 4.1 | 50.8681 | -77.0097 |
271 | Seletyteniz | Kazakhstan | 10.9 | 53.2931 | 73.2569 |
273 | Kumskoye reservoir | Russian Federation | 5.4 | 66.1042 | 31.0375 |
274 | Roseires reservoir | Sudan | 2.6 | 11.6292 | 34.3764 |
275 | Clinton-Colden lake | Canada | 3.1 | 63.9542 | -107.4653 |
276 | lake Powell | United States | 2.5 | 37.0625 | -111.2958 |
277 | lago de Coari | Brazil | 4.9 | -4.0931 | -63.3597 |
278 | lake Mead | United States | 3.8 | 36.1264 | -114.4819 |
279 | lake Assad | Syrian Arab Republic | 5.2 | 35.9236 | 38.2931 |
280 | Big Trout lake | Canada | 6.1 | 53.7181 | -89.9819 |
281 | Dore lake | Canada | 7.2 | 54.7764 | -107.2764 |
282 | lac Sakami | Canada | 3.8 | 53.4014 | -76.5958 |
283 | lagoa Araca et al | Brazil | 1.8 | -1.7625 | -55.8986 |
285 | lake St Joseph | Canada | 3 | 51.0903 | -90.5986 |
286 | lake Murray | Papua New Guinea | 2.8 | -7.1431 | 141.5042 |
287 | Gaoyou lake and Shaobo lake | China | 6.9 | 32.8458 | 119.3458 |
288 | Highrock lake | Canada | 1.6 | 55.8986 | -100.4208 |
289 | Srisailam Dam reservoir | India | 3.4 | 15.9792 | 78.3736 |
290 | Michikamau lake | Canada | 2.8 | 53.6653 | -65.2597 |
291 | Buir lake | Mongolia;China | 10.4 | 47.8181 | 117.7125 |
292 | Selwyn lake | Canada | 3.4 | 60.0514 | -104.3681 |
293 | Banana river | United States | 3.8 | 28.7208 | -80.7986 |
294 | Khar lake | Mongolia | 9.1 | 48.1292 | 93.2597 |
295 | lake Taupo | New Zealand | 9.6 | -38.7958 | 175.9292 |
296 | Shardara reservoir | Uzbekistan;Kazakhstan | 8.6 | 41.1319 | 68.1903 |
297 | Ebinur lake | China | 9.2 | 44.8653 | 83.0125 |
298 | Kentucky lake | United States | 2.1 | 36.4208 | -88.0625 |
299 | Buffalo lake | Canada | 6.5 | 60.2264 | -115.3292 |
300 | Eling lake/Ngoring lake | China | 8.3 | 34.8931 | 97.7069 |
301 | Cross lake | Canada | 3.9 | 54.9931 | -97.7958 |
302 | Hala lake/Har lake | China | 10.6 | 38.3014 | 97.5875 |
303 | North Moose lake | Canada | 6.3 | 54.1569 | -100.1431 |
304 | Fagnano lake/Cami lake | Argentina;Chile | 4.3 | -54.5486 | -67.7375 |
305 | lagune Ebrie | Côte d'Ivoire | 3.2 | 5.2903 | -4.2875 |
306 | lac Lagdo | Cameroon | 5 | 8.9319 | 13.8597 |
308 | Zzzz | Ecuador | 2.2 | -0.8875 | -79.6958 |
309 | Zzzz | United States | 7.6 | 41.0236 | -113.5208 |
310 | lake Balaton | Hungary | 6 | 46.9792 | 18.0736 |
311 | Atlin lake | Canada | 4 | 59.3625 | -133.6875 |
312 | Ayakkum lake | China | 8.7 | 37.5486 | 89.4292 |
313 | Scott lake and Wignes lake | Canada | 2.4 | 60.1375 | -105.8931 |
314 | lake Upemba | Congo The Democratic Republic of the | 10.3 | -8.6181 | 26.4125 |
315 | Ferguson lake | Canada | 4.6 | 69.3875 | -104.8403 |
316 | Tathlina lake | Canada | 10.1 | 60.5542 | -117.4931 |
317 | Kuskokwim river | United States | 6.5 | 60.0375 | -162.3625 |
318 | Keban dam | Turkey | 3.9 | 38.6569 | 39.5069 |
319 | South Henik lake | Canada | 6.2 | 61.5347 | -97.4069 |
320 | Kaminuriak lake | Canada | 4.2 | 62.8069 | -95.7708 |
321 | laguna Larga | Bolivia Plurinational State of | 2.4 | -12.7958 | -65.7569 |
322 | lake Natron | Tanzania United Republic of;Kenya | 9.6 | -2.4153 | 36.0014 |
323 | Churchill lake | Canada | 7.5 | 56.0625 | -108.2986 |
324 | Angikuni lake | Canada | 2.6 | 62.3903 | -99.7681 |
326 | Deschambault lake | Canada | 6.6 | 54.6569 | -103.5903 |
327 | lake Geneva/lac Leman | Switzerland | 6.2 | 46.4569 | 6.5847 |
328 | Mingachevir reservoir | Azerbaijan | 5.3 | 40.9653 | 46.6569 |
329 | lago Salines Grandes | Argentina | 2.5 | -29.9681 | -64.7181 |
330 | Sinakharin | Thailand | 3.6 | 14.5847 | 99.0514 |
331 | ozero Lobaz | Russian Federation | 9.9 | 72.2875 | 99.7069 |
332 | lake Towuti | Indonesia | 5.8 | -2.7097 | 121.4958 |
333 | Black lake | Canada | 5.5 | 59.2208 | -105.2764 |
334 | Artillery lake | Canada | 4.5 | 63.2403 | -107.7486 |
335 | reservoir La Grande 4 | Canada | 3.6 | 53.8986 | -73.2681 |
336 | Gyaring lake/Zhaling lake | China | 9.6 | 34.9181 | 97.2792 |
337 | Stephens lake | Canada | 2.8 | 56.3931 | -94.8736 |
338 | Kamchatka river | Russian Federation | 6.3 | 56.4236 | 162.7264 |
339 | lake Hazen | Canada | 5.6 | 81.7569 | -71.5903 |
340 | lake Winnebago | United States | 7.8 | 44.0208 | -88.4181 |
341 | represa Emborcacao | Brazil | 3.1 | -18.4431 | -47.8458 |
342 | represa de Xavantes | Brazil | 3.1 | -23.3542 | -49.6347 |
343 | Nahuel Huapi lake | Argentina | 3.7 | -41.0986 | -71.3125 |
344 | Anadyr' river | Russian Federation | 8.1 | 64.4681 | 174.3792 |
345 | Ashuanipi lake/Shabogamo lake | Canada | 2.5 | 52.5819 | -66.1208 |
346 | Zzzz | Finland | 2.2 | 62.8764 | 25.9875 |
347 | Gandhi sagar | India | 5 | 24.5292 | 75.5847 |
348 | lake Bankim | Cameroon | 1.8 | 6.0542 | 11.3097 |
349 | Laguna de Perlas | Nicaragua | 5.9 | 12.5014 | -83.6931 |
350 | Malheur lake | United States | 5.3 | 43.3292 | -118.7903 |
351 | Dauphin lake | Canada | 8.7 | 51.1903 | -99.7125 |
352 | Constance lake/Bodensee | Austria;Switzerland;Germany | 6 | 47.5431 | 9.5097 |
353 | lac Payne and lac Tunusuk | Canada | 3.4 | 59.4819 | -74.3569 |
354 | Ngangla Ringco | China | 4.6 | 31.5403 | 82.9403 |
356 | Sandy lake | Canada | 3 | 53.0069 | -93.0431 |
357 | lacs des Loups Marins | Canada | 1.9 | 56.5042 | -73.5014 |
358 | lacul Razim | Romania | 6.6 | 44.9069 | 28.9486 |
359 | rio Uatuma | Brazil | 3.1 | -2.6208 | -58.0014 |
360 | represa do Jurumirim | Brazil | 3.6 | -23.2542 | -49.0625 |
361 | Dniprodzerzhyns'ke reservoir | Ukraine | 4 | 48.8403 | 34.0236 |
362 | lake Sam Rayburn | United States | 3 | 31.1403 | -94.2153 |
363 | Granville lake | Canada | 3.4 | 56.2625 | -100.6153 |
364 | Kureyka river | Russian Federation | 3.7 | 67.0208 | 88.6931 |
365 | Snowbird lake | Canada | 5.4 | 60.6681 | -102.9736 |
366 | Mille Lacs lake | United States | 9.9 | 46.2681 | -93.6625 |
367 | Trout lake | Canada | 5.7 | 60.5097 | -121.2764 |
368 | lac Manouane | Canada | 2.2 | 50.7792 | -70.9847 |
369 | Zzzz | Finland | 2.9 | 61.5792 | 23.7403 |
370 | Upper Arrow lake | Canada | 2.2 | 50.6347 | -117.8958 |
371 | Tehek lake | Canada | 2.9 | 64.9458 | -95.5847 |
372 | Kaptai lake | Bangladesh | 3.1 | 22.5958 | 92.2042 |
373 | Tebesjuak lake | Canada | 4.4 | 63.7458 | -98.8681 |
374 | Whitesail lake and Nechako reservoir | Canada | 2.8 | 53.7847 | -126.1375 |
375 | Flathead lake | United States | 5.9 | 47.8653 | -114.1181 |
376 | Lokka reservoir | Finland | 4.4 | 67.9431 | 27.5708 |
377 | Naknek lake | United States | 5.1 | 58.6653 | -156.2597 |
378 | Sevier lake | United States | 5.5 | 38.9792 | -113.1486 |
379 | Cerros Colorados Complex/embalse los Barrales and embalse Mari Menuco | Argentina | 8.7 | -38.5375 | -68.8208 |
380 | lake Tahoe | United States | 8.2 | 39.1181 | -120.0542 |
382 | Qyaring lake | China | 6.1 | 31.0681 | 88.4319 |
383 | Taro lake | China | 7.1 | 31.1431 | 84.0181 |
384 | Babine lake | Canada | 3.2 | 54.7819 | -126.0319 |
385 | Zzzz | Mexico | 5.3 | 16.0458 | -93.9625 |
386 | lake Manantali | Mali | 4.9 | 13.0403 | -10.3514 |
387 | Hjalmaren | Sweden | 4.7 | 59.2319 | 15.8681 |
388 | Nkomi lagoon | Gabon | 2.8 | -1.6181 | 9.3681 |
389 | Hall lake | Canada | 5.1 | 68.6458 | -82.3514 |
390 | lake Egirdir | Turkey | 6.6 | 37.9931 | 30.8875 |
391 | lac Ile-a-la-Crosse | Canada | 2.7 | 55.5542 | -107.7486 |
392 | Cabonga reservoir | Canada | 1.7 | 47.3236 | -76.5153 |
393 | Storsjon | Sweden | 5.6 | 63.2236 | 14.2764 |
394 | Dozois reservoir and Grand lac Victoria | Canada | 1.7 | 47.3819 | -77.1931 |
395 | Princess Mary lake | Canada | 4.6 | 63.9542 | -97.5319 |
396 | MacAlpine lake | Canada | 3.7 | 66.6569 | -102.8819 |
397 | lake Manyara | Tanzania United Republic of | 7.1 | -3.6208 | 35.8097 |
398 | lake Woods | Australia | 7.7 | -17.8014 | 133.5042 |
399 | Grand lake | Canada | 3.2 | 49.1375 | -57.2208 |
400 | lac des Bois | Canada | 7.5 | 66.8208 | -125.2514 |
401 | lago Bayano | Panama | 3.9 | 9.1153 | -78.7792 |
402 | Diefenbaker lake | Canada | 2.1 | 50.9903 | -106.4681 |
403 | lake Markakol | Kazakhstan | 9.1 | 48.7403 | 85.7569 |
404 | Churchill lake | Canada | 1.6 | 56.4542 | -108.4875 |
405 | Montreal lake | Canada | 5.5 | 54.3569 | -105.6431 |
406 | Tagish lake | Canada | 1.9 | 60.1736 | -134.3153 |
407 | Sayram lake | China | 9.9 | 44.5986 | 81.1653 |
408 | Hammar | Iraq | 2.1 | 30.7069 | 47.5375 |
409 | Primrose lake | Canada | 7.6 | 54.9236 | -109.7125 |
411 | Pyramid lake | United States | 7.9 | 40.1069 | -119.5986 |
412 | Franklin lake | Canada | 3.2 | 66.9542 | -95.3125 |
413 | Mallery lake | Canada | 5.5 | 63.9625 | -98.4458 |
414 | cienaga Grande de Santa Marta and cienaga de Pajaral | Colombia | 8.6 | 10.8875 | -74.4042 |
415 | Nam Ngum reservoir | Lao People's Democratic Republic | 6.2 | 18.5681 | 102.6681 |
416 | lago Ranco | Chile | 6.1 | -40.2319 | -72.4681 |
417 | Bluenose lake | Canada | 5.1 | 68.3708 | -119.7042 |
418 | lagune Aby | Côte d'Ivoire;Ghana | 5 | 5.3097 | -3.2153 |
419 | Atikonak lake and lac Aticonac | Canada | 2.3 | 52.7097 | -64.6125 |
420 | Mills lake | Canada | 7.1 | 61.4847 | -118.2625 |
421 | lac Joseph and Kepimits lake | Canada | 2.4 | 52.8292 | -65.1792 |
422 | Zzzz | Finland | 2.4 | 62.8431 | 27.8181 |
423 | lac Saint Pierre/Saint Peter lake | Canada | 6.5 | 46.2014 | -72.8236 |
424 | Erichsen lake | Canada | 3.8 | 70.6681 | -80.6792 |
425 | ozero Ubinskoye | Russian Federation | 7.6 | 55.4653 | 80.0653 |
426 | Colville lake | Canada | 8 | 67.1819 | -125.9847 |
427 | ozero Vozhe | Russian Federation | 5.1 | 60.7181 | 38.9097 |
429 | Kenyir lake | Malaysia | 2.2 | 5.0125 | 102.6236 |
430 | Faber lake | Canada | 4.6 | 63.8986 | -117.3514 |
431 | laguna Neskynpil'gyn | Russian Federation | 6.1 | 66.9625 | -172.9181 |
432 | lac Albanel | Canada | 2.9 | 50.9042 | -73.3097 |
433 | ozero Keta | Russian Federation | 4.8 | 68.7625 | 90.0264 |
434 | lake Kubenskoye | Russian Federation | 4.8 | 59.6181 | 39.4958 |
435 | ozero Pekulneyskoye | Russian Federation | 7.1 | 62.6347 | 177.1958 |
436 | Kyivs'ke reservoir | Ukraine | 6.3 | 50.7847 | 30.4597 |
437 | Kinbasket lake | Canada | 3.1 | 52.1347 | -118.4347 |
438 | Schultz lake | Canada | 4.9 | 64.7708 | -97.4542 |
439 | Mapam Yumco lake | China | 9.4 | 30.6958 | 81.4708 |
440 | rio Andira | Brazil | 2.3 | -2.8375 | -57.0014 |
441 | Eufaula lake | United States | 2.4 | 35.3125 | -95.5597 |
442 | Govind Ballabh Pant sagar | India | 5.6 | 24.1319 | 82.8375 |
443 | lago Cardiel | Argentina | 8 | -48.9264 | -71.2125 |
444 | Ngangze lake | China | 6.5 | 31.0681 | 87.1764 |
445 | Ziway lake | Ethiopia | 7.1 | 8.0069 | 38.8181 |
446 | rio Maues-Acu and rio Marau and rio Parauari | Brazil | 2.5 | -3.4292 | -57.7181 |
447 | Kluane lake | Canada | 3.3 | 61.0903 | -138.4736 |
448 | lago Musters | Argentina | 6.1 | -45.4153 | -69.1819 |
449 | Wharton lake | Canada | 4.4 | 64.0931 | -99.8625 |
450 | Leech lake | United States | 5.7 | 47.1458 | -94.3875 |
451 | Mirond lake and Pelican lake and Jan lake | Canada | 2.6 | 55.1514 | -102.9708 |
452 | Miguel Aleman | Mexico | 3.1 | 18.2458 | -96.5403 |
454 | Molson lake | Canada | 5.4 | 54.2181 | -96.7597 |
455 | White Nile | Sudan | 2.7 | 15.1681 | 32.4486 |
456 | Wulanwula lake | China | 5.9 | 34.8653 | 90.3569 |
457 | lago Gatun | Panama | 2.6 | 9.1181 | -79.9458 |
458 | Bistcho lake | Canada | 5 | 59.7403 | -118.7319 |
459 | laguna Vankarem | Russian Federation | 6.1 | 67.8069 | -175.9625 |
460 | Gariep dam | South Africa | 3 | -30.6903 | 25.6875 |
461 | Kayrakkumskoye/Kairakum reservoir | Tajikistan | 6.3 | 40.3153 | 70.1764 |
462 | Itezhi Tezhi dam | Zambia | 4.6 | -15.7931 | 25.9431 |
463 | Pulicat lake | India | 6.1 | 13.5431 | 80.2069 |
464 | Goose lake | United States | 6.9 | 42.0097 | -120.4097 |
465 | Keller lake | Canada | 8.3 | 63.9236 | -121.5597 |
466 | Xinanjiang reservoir | China | 3.2 | 29.5569 | 118.9208 |
467 | lac Couture | Canada | 5.1 | 60.1347 | -75.3153 |
468 | Kootenay lake | Canada | 2.7 | 49.3958 | -116.7764 |
469 | Netsilik lake | Canada | 5.5 | 69.3653 | -93.0403 |
470 | ozero Karakul | Tajikistan | 5 | 39.0431 | 73.3486 |
471 | Kanivs'ke reservoir | Ukraine | 5.2 | 49.9097 | 31.4875 |
472 | ozero Nizhnee Kuyto | Russian Federation | 3.5 | 65.1347 | 31.4347 |
473 | Shishmaref inlet and Ikpek lagoon and Cowpack inlet and Arctic lagoon | United States | 7.1 | 66.1736 | -165.9792 |
474 | Pinehouse lake | Canada | 3 | 55.4125 | -106.6264 |
475 | Tiga dam | Nigeria | 2.9 | 11.4153 | 8.4069 |
477 | Nezahualcoyotl | Mexico | 2.6 | 17.1847 | -93.7431 |
478 | Ndogo lagoon | Gabon | 2.8 | -2.5292 | 9.8958 |
480 | Ratchaprapha | Thailand | 2 | 9.0431 | 98.6597 |
481 | lough Neagh | United Kingdom | 6.6 | 54.5931 | -6.4153 |
482 | Karsakuwigamak lake and Notigi lake | Canada | 2 | 56.2764 | -99.5625 |
483 | lake Chukchagirskoye | Russian Federation | 4.5 | 52.0069 | 136.6153 |
484 | Hadithah dam lake | Iraq | 4.6 | 34.2486 | 42.3375 |
485 | Lagos lagoon | Nigeria | 4.9 | 6.5181 | 3.4458 |
486 | Trout lake | Canada | 3.2 | 51.2014 | -93.3208 |
487 | lake Poso | Indonesia | 6.3 | -1.8819 | 120.5931 |
488 | Scutari/Skadarsko lake | Albania;Montenegro | 6.3 | 42.1931 | 19.2931 |
489 | Dorsoidong lake | China | 6.2 | 33.4264 | 89.8931 |
490 | Teslin lake | Canada | 2.1 | 59.8736 | -132.3236 |
491 | lake Aubry | Canada | 5.1 | 67.3014 | -126.3986 |
492 | Manukau harbour | New Zealand | 5.5 | -37.0542 | 174.7292 |
493 | lac Matagami and lac Soscumica | Canada | 2.7 | 49.8986 | -77.6903 |
494 | represa de Agua Vermelha | Brazil | 3.6 | -19.8486 | -50.1014 |
495 | ozero Portnyagino | Russian Federation | 7.8 | 74.1403 | 107.1458 |
496 | Volta Grande dam | Brazil | 1.7 | -20.1153 | -48.1514 |
498 | Nagarjuna sagar | India | 2.8 | 16.5764 | 79.2819 |
499 | Congo river | Congo The Democratic Republic of the;Congo | 3.1 | -4.3097 | 15.4653 |
500 | ozero Udyl' | Russian Federation | 4.1 | 52.1903 | 140.0292 |
501 | Stuart lake | Canada | 4.4 | 54.5181 | -124.5069 |
502 | ozero Bolon' | Russian Federation | 5.1 | 49.8097 | 136.3097 |
503 | Nejanilini lake | Canada | 3 | 59.6264 | -97.6653 |
505 | lago di Garda | Italy | 5.2 | 45.5319 | 10.6542 |
506 | lake Jeba | Nigeria | 2.6 | 9.2458 | 4.7458 |
507 | St John river | United States | 2.4 | 30.1125 | -81.6653 |
508 | Cold lake | Canada | 7.7 | 54.5542 | -110.0958 |
509 | Dniester estuary | Ukraine;Moldova Republic of | 4.9 | 46.3347 | 30.1708 |
510 | represa da Boa Esperanca | Brazil | 1.8 | -6.7486 | -43.5986 |
511 | Aqqikkol lake | China | 7.6 | 37.0931 | 88.4014 |
512 | Whitefish lake | Canada | 3.7 | 62.7542 | -106.7792 |
513 | lago Canacari | Brazil | 5.1 | -2.9181 | -58.2069 |
514 | Tazin lake | Canada | 3.9 | 59.8153 | -109.2125 |
515 | lago Valencia | Venezuela Bolivarian Republic of | 5.9 | 10.1736 | -67.7931 |
516 | North Caribou lake | Canada | 2.2 | 52.7181 | -90.5569 |
517 | lake Pletipi | Canada | 2.8 | 51.7486 | -70.0736 |
518 | Mjosa | Norway | 3.8 | 60.6819 | 11.0431 |
519 | Yamba lake | Canada | 2.7 | 64.9069 | -111.5597 |
520 | Chibzhang lake | China | 5.4 | 33.4819 | 90.3625 |
521 | Stanwell-Fletcher lake | Canada | 5.9 | 72.7264 | -94.7681 |
522 | lake Vodlozero | Russian Federation | 3.7 | 62.3875 | 36.8542 |
523 | Utah lake | United States | 6.1 | 40.2042 | -111.8014 |
524 | lake Lanao | Philippines | 6.8 | 7.8486 | 124.2486 |
526 | lake Ohrid | Albania;North Macedonia | 7.1 | 41.0264 | 20.7208 |
527 | lake Abhe | Ethiopia;Djibouti | 8.5 | 11.1708 | 41.7819 |
528 | Tungabhadra reservoir | India | 4 | 15.2403 | 76.2986 |
529 | Oxford lake | Canada | 2.6 | 54.9319 | -95.3819 |
530 | Zzzz | Finland | 2.1 | 61.8375 | 26.6792 |
531 | Liangzi lake | China | 3 | 30.2458 | 114.5181 |
532 | lake Te Anau | New Zealand | 3.7 | -45.2125 | 167.7542 |
533 | lake Lacha | Russian Federation | 6.2 | 61.2458 | 38.7569 |
534 | lake Livingston | United States | 4 | 30.7375 | -95.1458 |
535 | Zzzz | Mexico | 5.3 | 24.4319 | -107.5569 |
536 | Bangong lake | China | 5.6 | 33.5181 | 79.8042 |
537 | Chew Bahir | Ethiopia | 7.2 | 4.6958 | 36.9319 |
538 | lake St Martin | Canada | 5.2 | 51.6764 | -98.4819 |
539 | Longgan/Longhu lake | China | 5.1 | 29.9375 | 116.1986 |
540 | lac Maunoir | Canada | 7.2 | 67.4819 | -125.0125 |
541 | lake Bamendjing | Cameroon | 2.4 | 5.8153 | 10.6153 |
542 | Karakaya reservoir | Turkey | 2.7 | 38.5069 | 38.4181 |
543 | Urru lake | China | 6.6 | 31.7181 | 87.9597 |
544 | lac de la Pointe | Canada | 1.6 | 53.1681 | -70.9431 |
545 | Cormorant lake | Canada | 4.4 | 54.1681 | -100.7514 |
546 | lake Pend Oreille | United States | 4.4 | 48.1681 | -116.3292 |
547 | Zzzz | Sri Lanka | 5.3 | 9.5125 | 80.3236 |
548 | lake Umbozero | Russian Federation | 5.2 | 67.6486 | 34.4347 |
549 | Durgun lake | Mongolia | 7.4 | 47.6458 | 93.4903 |
550 | ozero Qusmuryn | Kazakhstan | 5.9 | 52.7014 | 64.8458 |
551 | laguna Tenkergynpil'gyn | Russian Federation | 8.1 | 68.5847 | -178.5125 |
552 | lake Aksehir | Turkey | 6.4 | 38.5069 | 31.4181 |
553 | represa de Jupia/Engineer Souza Dias dam | Brazil | 3.1 | -20.6653 | -51.6042 |
554 | lake Clark | United States | 3.4 | 60.3153 | -154.0903 |
555 | lac des Quinze and lac Simard | Canada | 3.3 | 47.6375 | -78.7069 |
556 | lake Marion | United States | 4.1 | 33.4681 | -80.2125 |
557 | Lynx lake | Canada | 2.2 | 62.5069 | -106.2819 |
558 | Old Wives lake | Canada | 7 | 50.0958 | -105.9569 |
559 | Upper Klamath lake and Agency lake | United States | 4 | 42.4569 | -122.0069 |
560 | lago Piorini | Brazil | 2.8 | -3.5181 | -63.2736 |
561 | ozero Lama | Russian Federation | 4.8 | 69.3708 | 89.3375 |
562 | Vaal dam | South Africa | 2.5 | -27.0236 | 28.3236 |
563 | Vembanad lake | India | 3.4 | 9.5986 | 76.3931 |
564 | Sudoche Ko'l | Uzbekistan | 2.7 | 43.4875 | 58.3681 |
565 | Okanagan lake | Canada | 2.5 | 49.8208 | -119.5431 |
566 | Amisk lake | Canada | 4 | 54.5236 | -102.2542 |
567 | Falcon reservoir | Mexico;United States | 3.1 | 26.6542 | -99.2042 |
568 | Rennie lake | Canada | 2.9 | 61.4903 | -105.5292 |
569 | Kakisa lake | Canada | 6 | 60.8986 | -117.5208 |
570 | Seagull lake | Canada | 3.8 | 49.8347 | -76.8514 |
571 | lake Francis Case and lake Sharpe | United States | 2.2 | 44.2014 | -99.6764 |
572 | Yellowstone lake | United States | 5.1 | 44.4764 | -110.3486 |
573 | Meelpaeg reservoir | Canada | 5 | 48.2486 | -56.6069 |
574 | lake Mbakaou | Cameroon | 3.5 | 6.3819 | 12.8042 |
575 | Lady Melville lake | Canada | 5 | 69.1819 | -92.2903 |
576 | Mosul dam lake | Iraq | 3.9 | 36.6597 | 42.9097 |
579 | Chamo lake | Ethiopia | 6.6 | 5.8458 | 37.5736 |
581 | Split lake | Canada | 2.5 | 56.2236 | -96.1486 |
586 | lake Malombe | Malawi | 7.3 | -14.6347 | 35.2542 |
588 | lago Cochrane/lago Pueyrredon | Argentina;Chile | 3.1 | -47.3347 | -71.9431 |
590 | lago de Cuitzeo | Mexico | 3.9 | 19.9319 | -101.1931 |
592 | Lumajangdong lake | China | 5.7 | 34.0319 | 81.6458 |
594 | Tornetrask | Sweden;Norway | 3.6 | 68.4125 | 18.7847 |
596 | Danjiangkou reservoir | China | 5.2 | 32.7292 | 111.5708 |
601 | Krasnodarskoye reservoir | Russian Federation | 5.6 | 44.9625 | 39.1986 |
603 | Ubolratana | Thailand | 4 | 16.7569 | 102.5792 |
604 | Shala lake | Ethiopia | 6.9 | 7.4625 | 38.5458 |
608 | ozero Orel' | Russian Federation | 5.7 | 53.4597 | 139.7181 |
609 | Kekexili lake | China | 5.3 | 35.5931 | 91.0736 |
612 | Bolshiye Kizi ozero | Russian Federation | 3.8 | 51.6542 | 140.2569 |
613 | lac Tshangalele | Congo The Democratic Republic of the | 3.7 | -10.9375 | 27.0514 |
616 | Chomen lake | Ethiopia | 4.1 | 9.5319 | 37.2236 |
618 | lake St Lucia | South Africa | 3.7 | -27.9903 | 32.4764 |
620 | Dongting lake and Luhu lake | China | 6.8 | 29.2292 | 112.8569 |
622 | Maharana Pratap sagar | India | 4.6 | 31.9847 | 76.0542 |
623 | Daguan lake and Huanghu lake | China | 5.3 | 29.9931 | 116.4569 |
624 | Swan lake | Canada | 4 | 52.4125 | -100.6569 |
627 | Dianchi pool | China | 5.4 | 24.8681 | 102.7181 |
629 | Dabuxun lake | China | 4.3 | 37.0458 | 95.0514 |
630 | Achit lake | Mongolia | 6.1 | 49.4875 | 90.5236 |
632 | Tustumena lake | United States | 5.1 | 60.2153 | -150.9125 |
633 | lake Timiskaming | Canada | 2.8 | 47.5375 | -79.5458 |
634 | Iznik lake | Turkey | 5.6 | 40.4375 | 29.5125 |
635 | lac Belot | Canada | 5.9 | 66.9458 | -126.2931 |
637 | embalse rio Hondo | Argentina | 6 | -27.5431 | -64.9931 |
639 | Xijir Ulan lake | China | 5.7 | 35.2069 | 90.3125 |
645 | Buuntsagaan lake | Mongolia | 7.3 | 45.5903 | 99.1597 |
646 | Clearwater lake | Canada | 7.2 | 54.0569 | -101.0653 |
648 | lago Rogaguado | Bolivia Plurinational State of | 6.5 | -13.0069 | -65.9458 |
649 | Puma yumco lake | China | 5.9 | 28.5681 | 90.4264 |
654 | Siljan | Sweden | 5.4 | 60.8653 | 14.7597 |
657 | Hoytiainen | Finland | 3.2 | 62.7347 | 29.7181 |
667 | Sitidgi lake | Canada | 6.5 | 68.5486 | -132.6903 |
669 | Utikuma lake | Canada | 5.8 | 55.8542 | -115.4236 |
672 | Smoothstone lake | Canada | 6.1 | 54.6431 | -106.8625 |
674 | lake Kisale | Congo The Democratic Republic of the | 6.3 | -8.2486 | 26.5125 |
676 | Rakshastal/La'nga lake | China | 5.7 | 30.6597 | 81.2458 |
677 | Bear lake | United States | 5.7 | 42.0181 | -111.3292 |
679 | Vortsjarv | Estonia | 6.2 | 58.3042 | 26.0347 |
681 | lake Ngoin | China | 3.8 | 31.5792 | 88.7708 |
684 | Kiskittogisu lake | Canada | 6.1 | 54.1486 | -98.3958 |
685 | Paiku lake | China | 5.6 | 28.8375 | 85.6042 |
687 | lake George | Uganda | 5.8 | 0.0069 | 30.2292 |
688 | Song-Kul | Kyrgyzstan | 7.2 | 41.8458 | 75.1264 |
690 | Great Prespa lake | Albania;North Macedonia;Greece | 4.8 | 40.8875 | 21.0375 |
699 | ozero Pavylon et al | Russian Federation | 4.6 | 68.4375 | 151.8681 |
702 | St Lawrence river | United States;Canada | 3.6 | 45.2208 | -74.2097 |
706 | Beysugskiy liman | Russian Federation | 5.6 | 46.0958 | 38.4764 |
708 | Honghu lake | China | 4.6 | 29.8097 | 113.3292 |
710 | Uddjaure | Sweden | 2.8 | 66.0264 | 17.7264 |
713 | Tobin lake | Canada | 4.8 | 53.6014 | -103.4653 |
718 | Gozha lake | China | 5.4 | 35.0181 | 80.9931 |
723 | lago Enriquillo | Dominican Republic | 5.1 | 18.4542 | -71.5819 |
725 | Dogai Coring lake | China | 6.1 | 34.5542 | 88.9986 |
728 | Red Deer lake | Canada | 6.7 | 52.9625 | -101.3542 |
729 | Toktogul reservoir | Kyrgyzstan | 5.5 | 41.8042 | 72.8431 |
730 | Quill lakes West | Canada | 7.5 | 51.8486 | -104.3625 |
731 | Zapatosa | Colombia | 5.6 | 9.0653 | -73.8486 |
732 | Zhuonai lake | China | 7.3 | 35.5569 | 91.8931 |
733 | Kiskitto lake | Canada | 4.3 | 54.2625 | -98.6125 |
736 | Kusai lake | China | 5.3 | 35.6903 | 92.9208 |
738 | Habbaniyah lake | Iraq | 5.7 | 33.2792 | 43.5153 |
744 | Dagze lake | China | 7.4 | 31.9042 | 87.5486 |
746 | lake Maurepas | United States | 7.1 | 30.2514 | -90.5042 |
748 | Calcasieu lake | United States | 5 | 29.8819 | -93.2903 |
754 | Cumberland lake | Canada | 4.1 | 54.0125 | -102.2986 |
755 | Chabyer lake | China | 4.7 | 31.4431 | 84.0486 |
756 | ozero Kronotskoye | Russian Federation | 5.7 | 54.7903 | 160.2153 |
758 | Hornavan | Sweden | 2.6 | 66.1764 | 17.7153 |
761 | lake Winnibigoshish | United States | 5.9 | 47.4125 | -94.2264 |
767 | Erhai lake | China | 3.9 | 25.8042 | 100.1819 |
770 | Vicente Guerrero reservoir | Mexico | 4.4 | 23.9625 | -98.7514 |
771 | Wasekamio lake | Canada | 3.4 | 56.5347 | -108.6569 |
773 | Uureg lake | Mongolia | 7.5 | 50.1597 | 91.0181 |
779 | Wapawekka lake | Canada | 5 | 54.9181 | -104.6764 |
782 | Pasfield lake | Canada | 6.2 | 58.3847 | -105.3236 |
790 | Ulansu lake/Wuliangsu lake | China | 1.4 | 40.9986 | 108.8625 |
791 | Shijiu lake | China | 5.5 | 31.4847 | 118.9181 |
792 | ozero Nerpichye | Russian Federation | 4.7 | 69.3125 | 160.0014 |
794 | ozero Sartlan | Russian Federation | 7.6 | 54.9847 | 78.5847 |
797 | Red Sucker lake | Canada | 2.8 | 54.1431 | -93.8097 |
799 | Hawizeh marshes | Iraq;Iran Islamic Republic of | 1 | 31.3792 | 47.7236 |
800 | lake Corangamite and lake Gnarpurt | Australia | 3.7 | -38.0986 | 143.4542 |
801 | lagoa Feia | Brazil | 4.5 | -21.9931 | -41.3875 |
804 | Sachigo lake | Canada | 4 | 53.8292 | -92.1375 |
805 | lac la Biche | Canada | 4.1 | 54.8986 | -112.2042 |
806 | lake Qaroun | Egypt | 4.3 | 29.4569 | 30.5847 |
810 | lac la Plonge | Canada | 6 | 55.1014 | -107.2819 |
811 | Stora Lulevatten | Sweden | 2.2 | 67.2181 | 19.1931 |
812 | Lexie Wudan lake | China | 5.3 | 35.7431 | 90.2181 |
817 | Great Bitter lake | Egypt | 4.9 | 30.3319 | 32.3736 |
818 | Taal lake | Philippines | 4.3 | 13.9486 | 120.9986 |
819 | Donggei Cuona lake | China | 4.4 | 35.2653 | 98.6431 |
824 | lake Moultrie | United States | 5.6 | 33.3181 | -80.0625 |
825 | ozero Tishke | Russian Federation | 4.4 | 66.2597 | 31.9069 |
827 | Dali Nuo'er | China | 6 | 43.2847 | 116.6514 |
829 | Langano lake | Ethiopia | 6.9 | 7.5986 | 38.7597 |
831 | Rupanco lake | Chile | 3.4 | -40.8014 | -72.5736 |
833 | Sirindhorn | Thailand | 3 | 15.1569 | 105.3875 |
836 | lake Salvador | United States | 5.6 | 29.7125 | -90.2625 |
837 | Waterhen lake | Canada | 4.2 | 52.0819 | -99.5736 |
840 | Yalpuh lake | Ukraine | 3.7 | 45.2986 | 28.6653 |
849 | Blackwater lake | Canada | 3.5 | 63.9375 | -123.1625 |
851 | ozero Tenis | Russian Federation | 4.5 | 56.1514 | 71.7236 |
870 | Aralsor koli | Kazakhstan | 4.1 | 49.0625 | 48.1875 |
872 | White lake | United States | 5.2 | 29.7625 | -92.5569 |
876 | Weishan lake/Nansi lake | China | 5.3 | 34.5986 | 117.2319 |
879 | Alakol | Kazakhstan | 2.2 | 44.8708 | 74.1958 |
881 | Burdur lake | Turkey | 4.3 | 37.7264 | 30.1653 |
882 | Upper Ugashik lake | United States | 4.8 | 57.6458 | -156.7486 |
883 | Mono lake | United States | 5 | 38.0181 | -118.9681 |
892 | Fuxian lake | China | 5.3 | 24.5847 | 102.8986 |
893 | lake Neuchatel | Switzerland | 3.6 | 46.9569 | 6.9375 |
894 | Molochnyi lake | Ukraine | 4.2 | 46.5042 | 35.3514 |
902 | ozero Teke | Kazakhstan | 7 | 53.8375 | 72.9347 |
904 | Waswanipi lake | Canada | 3 | 49.5319 | -76.3931 |
905 | Oneida lake | United States | 4.2 | 43.1931 | -75.8875 |
907 | Shalkar | Kazakhstan | 7.8 | 50.5569 | 51.6792 |
908 | lac la Loche | Canada | 4 | 56.5208 | -109.5875 |
910 | Canoe lake | Canada | 5.8 | 55.1764 | -108.2653 |
913 | Xuru lake | China | 5.9 | 30.3181 | 86.4069 |
915 | lago Cabaliana | Brazil | 3.9 | -3.3125 | -60.8236 |
917 | lac Zimbambo | Congo The Democratic Republic of the | 3.7 | -8.0347 | 26.9208 |
920 | Telmen lake | Mongolia | 5.1 | 48.8486 | 97.3514 |
924 | Cuorendejia | China | 4.6 | 35.2181 | 92.1347 |
929 | lake George | United States | 5.1 | 29.2986 | -81.5958 |
931 | Robert S. Kerr reservoir | United States | 2.9 | 35.3542 | -94.8597 |
934 | lake Pukaki | New Zealand | 3.4 | -44.0597 | 170.1736 |
936 | ozero Yanisyarvi | Russian Federation | 5.2 | 61.9792 | 30.9708 |
937 | Rana Pratap sagar dam | India | 3.4 | 24.8153 | 75.5986 |
940 | lake Laberge | Canada | 2.8 | 61.0625 | -135.1153 |
944 | ozero Bolshoye Morskoye | Russian Federation | 6.8 | 70.0597 | 158.7319 |
945 | Hanhowuz Howdany reservoir | Turkmenistan | 6.1 | 37.1986 | 61.3153 |
948 | lago Maggiore | Italy;Switzerland | 2.4 | 45.9903 | 8.6819 |
949 | Namew lake | Canada | 3.3 | 54.2319 | -101.8653 |
953 | lago Urua | Brazil | 2.9 | -2.1931 | -56.4958 |
954 | Inland lake | United States | 5.9 | 66.4819 | -159.8486 |
957 | lake Alaotra | Madagascar | 3.1 | -17.4042 | 48.5597 |
960 | ozero Malye Chany | Russian Federation | 5.7 | 54.5486 | 77.9958 |
962 | lago del Toro | Chile | 3.3 | -51.2097 | -72.7042 |
970 | Baitu lake and Caizi lake and Xizi lake and Daisai lake | China | 2.4 | 30.7903 | 117.1042 |
975 | lac de Guiers and Vallee du Ferlo | Senegal | 3 | 16.2708 | -15.8319 |
976 | Bartlett lake | Canada | 3.1 | 63.0931 | -118.4486 |
977 | Reed lake | Canada | 3 | 54.6125 | -100.3736 |
982 | Sangiin Dalay lake | Mongolia | 3.4 | 49.2736 | 98.9458 |
983 | Rinqin Xub lake | China | 6.2 | 31.2847 | 83.4597 |
985 | ozero Ulakh Ulyung et al | Russian Federation | 3.2 | 68.2625 | 151.0792 |
989 | Zige Tang lake | China | 6.3 | 32.0875 | 90.8792 |
990 | Gehu lake | China | 4.8 | 31.6181 | 119.8347 |
1003 | Talbot lake | Canada | 4.3 | 54.0903 | -99.8375 |
1007 | embalse de Guarico | Venezuela Bolivarian Republic of | 5.3 | 9.0458 | -67.3847 |
1009 | Missisa lake | Canada | 5.1 | 52.2986 | -85.1931 |
1010 | Lower Ugashik lake | United States | 6 | 57.5153 | -156.9069 |
1011 | ozero Bolshoy Uvat | Russian Federation | 4.9 | 57.5264 | 70.3875 |
1013 | Rossvatnet | Norway | 3.5 | 65.7681 | 14.0097 |
1016 | Coipasa lake | Bolivia Plurinational State of | 9.1 | -19.2597 | -68.1403 |
1019 | Mahoney lake | Canada | 4.5 | 65.5042 | -125.3653 |
1026 | American Falls reservoir | United States | 4 | 42.9736 | -112.6958 |
1028 | Bolmen | Sweden | 2.7 | 56.8653 | 13.6986 |
1029 | ozero Evoron | Russian Federation | 5.2 | 51.4792 | 136.5153 |
1031 | Chagan lake | China | 5.8 | 45.2181 | 124.3153 |
1035 | Kyzylkak | Kazakhstan | 6.6 | 53.4236 | 73.7764 |
1044 | Jingyu lake | China | 5.2 | 36.3403 | 89.4292 |
1046 | lake Kabamba | Congo The Democratic Republic of the | 4.3 | -7.8819 | 27.0319 |
1050 | ozero Kuchukskoye | Russian Federation | 5.6 | 52.7153 | 79.7625 |
1053 | Athapapuskow lake | Canada | 3.6 | 54.5236 | -101.6875 |
1054 | Chambri lake | Papua New Guinea | 4 | -4.2292 | 143.1292 |
1057 | lough Corrib | Ireland | 2.6 | 53.4653 | -9.2903 |
1058 | Mamawi | Canada | 3.7 | 58.6125 | -111.4569 |
1059 | Ukai reservoir | India | 4.1 | 21.2375 | 73.7014 |
1061 | Nilakka | Finland | 2.3 | 63.1403 | 26.5597 |
1062 | Wekusko/Wekisko lake | Canada | 3.7 | 54.7792 | -99.8486 |
1063 | Hada Naihaolai | China | 5 | 49.0708 | 117.9736 |
1066 | Bam lake | China | 4.8 | 31.2042 | 90.5708 |
1071 | Kesagami lake | Canada | 3.3 | 50.3875 | -80.2181 |
1075 | Last Mountain lake | Canada | 2.5 | 51.1931 | -105.2764 |
1076 | Dukan lake | Iraq | 4.3 | 36.1347 | 44.9125 |
1079 | Cuona lake | China | 5.6 | 32.0569 | 91.4764 |
1083 | ozero Elton | Russian Federation | 6.8 | 49.1486 | 46.6708 |
1096 | Aksayquin lake | China | 4.7 | 35.2347 | 79.8514 |
1099 | Zzzz | Greenland | 1.8 | 65.0875 | -50.0403 |
1107 | Junshan lake | China | 2.9 | 28.5986 | 116.3097 |
1109 | lago Villarrica | Chile | 4.9 | -39.2542 | -72.0764 |
1110 | Hirfanli reservoir | Turkey | 4 | 39.1931 | 33.5569 |
1111 | lago Uru Uru | Bolivia Plurinational State of | 2 | -18.1403 | -67.0986 |
1115 | lake Neusiedl | Hungary;Austria | 3.6 | 47.8792 | 16.7875 |
1116 | lake Rossignol | Canada | 2.6 | 44.1764 | -65.0958 |
1121 | laguna Negra | Uruguay | 6.1 | -34.0292 | -53.6875 |
1128 | Walker lake | United States | 4.3 | 38.7264 | -118.7153 |
1129 | Grand lake et al | United States | 4.1 | 29.8792 | -92.7569 |
1130 | Tousu lake | China | 4.2 | 37.1236 | 96.9153 |
1137 | lago Aiapua | Brazil | 4.3 | -4.3986 | -62.1208 |
1145 | Kus lake | Turkey | 5.1 | 40.1958 | 27.9958 |
1146 | Abijata lake | Ethiopia | 5.1 | 7.6208 | 38.6042 |
1148 | lake Mattamuskeet | United States | 4.4 | 35.4986 | -76.1819 |
1149 | Rann of Kutch lake | India;Pakistan | 22.6 | 24.1458 | 70.3486 |
1154 | lake Abert | United States | 4.4 | 42.6875 | -120.2181 |
1157 | Koka lake | Ethiopia | 4.4 | 8.3792 | 39.0708 |
1169 | Wabigoon lake | Canada | 2.8 | 49.7458 | -92.7847 |
1170 | Great lake | Australia | 3 | -41.9319 | 146.7403 |
1174 | Jili lake | China | 5.9 | 46.9236 | 87.4486 |
1184 | ozero Gusinoye | Russian Federation | 4.2 | 51.2292 | 106.4403 |
1187 | ozero Ozhogino | Russian Federation | 5.2 | 69.2542 | 146.7042 |
1188 | Clear lake | United States | 4.7 | 39.0736 | -122.8486 |
1190 | lago Grande de Monte Alegre | Brazil | 9.3 | -2.2569 | -54.2264 |
1192 | Kyebxang lake | China | 5.3 | 32.4542 | 90.0097 |
1193 | Canyon Ferry lake | United States | 3.5 | 46.4125 | -111.5264 |
1195 | lago Blanco | Chile | 4.2 | -54.0069 | -68.9958 |
1196 | sea of Galilee | Israel;Syrian Arab Republic | 5.6 | 32.8292 | 35.5847 |
1199 | Devils lake and Pelican lake | United States | 3.6 | 48.0736 | -99.1903 |
1201 | Vanajavesi | Finland | 3.4 | 61.1542 | 24.2375 |
1203 | Aras Dam lake | Iran Islamic Republic of;Azerbaijan | 2.2 | 39.1875 | 45.3125 |
1204 | Kasumigaura lake | Japan | 3.7 | 36.0375 | 140.3958 |
1205 | Daihai sea | China | 4 | 40.5819 | 112.6903 |
1206 | Dushan lake | China | 4 | 35.0792 | 116.8069 |
1207 | lago Puyehue | Chile | 4.1 | -40.6736 | -72.4903 |
1208 | ozero Chlya | Russian Federation | 3.7 | 53.4431 | 140.0625 |
1213 | Chatyr Kol | Kyrgyzstan | 4.6 | 40.6236 | 75.2903 |
1216 | Etang de Berre and Etang de Bolmon | France | 3.9 | 43.4403 | 5.1042 |
1218 | Nyumba Ya Mungu reservoir | Tanzania United Republic of | 2.8 | -3.6681 | 37.4125 |
1219 | Jayakwadi Dam reservoir/Nath sagar | India | 4 | 19.5014 | 75.2569 |
1221 | Pelican lake | Canada | 4 | 52.4819 | -100.3264 |
1222 | Beaverhill lake | Canada | 4.5 | 53.4542 | -112.5292 |
1236 | Ulubat lake | Turkey | 3.7 | 40.1542 | 28.6292 |
1237 | Finger lake | Canada | 2.2 | 53.1292 | -93.5681 |
1239 | Tazlina lake | United States | 3.4 | 61.9042 | -146.4958 |
1240 | Pyhajarvi | Finland | 3.9 | 60.9931 | 22.3097 |
1241 | rio Tefe | Brazil | 3.7 | -3.3347 | -64.7736 |
1246 | Lappajarvi | Finland | 3.5 | 63.1236 | 23.7014 |
1248 | lake Baringo | Kenya | 3.8 | 0.6569 | 36.0625 |
1249 | Walker lake | Canada | 2.3 | 54.6958 | -96.9542 |
1257 | Tage lake | Indonesia | 4.7 | -3.8903 | 136.3125 |
1259 | lago Strobel | Argentina | 3.9 | -48.4347 | -71.1847 |
1264 | Chinchayqucha lake | Peru | 5.3 | -11.0181 | -76.1014 |
1266 | lake Wellington | Australia | 4.3 | -38.0819 | 147.3569 |
1270 | Bohu lake | China | 3.5 | 30.1542 | 116.4681 |
1273 | lago Arapa | Peru | 3.3 | -15.1569 | -70.0569 |
1282 | Tepouma/Lagoa de Sapucua | Brazil | 3.7 | -1.8208 | -55.9986 |
1283 | Mucuo Bingni | China | 4 | 30.6625 | 86.2236 |
1286 | Karasor | Kazakhstan | 3.1 | 49.8319 | 75.2569 |
1293 | Zzzz | Iraq | 3.7 | 34.2153 | 45.0069 |
1294 | Airag lake | Mongolia | 5.8 | 48.8958 | 93.4486 |
1295 | Llancanelo lake | Argentina | 6.3 | -35.5514 | -69.1292 |
1302 | Tso Moriri | India | 3.2 | 32.9208 | 78.3125 |
1307 | lake Mainit | Philippines | 4.6 | 9.4931 | 125.5181 |
1319 | Svir river | Russian Federation | 3 | 61.1569 | 34.8819 |
1321 | barrage Al Massira | Morocco | 3.5 | 32.4431 | -7.5569 |
1323 | Palung lake | China | 4.4 | 30.9097 | 83.5875 |
1327 | Tudakul lake | Uzbekistan | 5.6 | 39.8681 | 64.8681 |
1336 | Bong lake | China | 3.6 | 31.1875 | 91.2208 |
1344 | Oolagah lake | United States | 2.2 | 36.6347 | -95.5597 |
1354 | Memar lake | China | 3.4 | 34.2597 | 82.2653 |
1355 | General Vintter/lago Palena | Chile;Argentina | 3.6 | -43.9319 | -71.5097 |
1357 | lac Fitri | Chad | 3.2 | 12.8403 | 17.4736 |
1358 | Futou lake | China | 3.3 | 30.0069 | 114.2042 |
1359 | Wanapitei lake | Canada | 4.5 | 46.7486 | -80.7458 |
1360 | lake Qamystybas | Kazakhstan | 3.7 | 46.2125 | 61.8625 |
1361 | El huizache | Mexico | 4.9 | 22.9486 | -106.0569 |
1368 | lake Kissimmee | United States | 2.9 | 27.9014 | -81.2819 |
1370 | Calling lake | Canada | 5 | 55.2458 | -113.3042 |
1375 | Candle lake | Canada | 4 | 53.8514 | -105.3319 |
1377 | danau Rombebai | Indonesia | 4.4 | -1.8653 | 137.9153 |
1381 | ozero Soluntakh | Russian Federation | 4 | 71.7153 | 143.2597 |
1382 | Dung lake | China | 3.9 | 31.7208 | 91.1736 |
1392 | Tyrifjorden | Norway | 2.7 | 60.0264 | 10.2097 |
1409 | Tandure lake and Pamamaroo lake and lake Wetherell and Bijijie lake | Australia | 4 | -32.2792 | 142.4653 |
1417 | Beihuo Luxun lake | China | 4.1 | 36.9236 | 95.9347 |
1421 | Nanhu lake | China | 4 | 31.1236 | 118.9847 |
1422 | lake Hindmarsh | Australia | 4.5 | -36.0486 | 141.9069 |
1423 | Skagern | Sweden | 4.1 | 58.9653 | 14.2931 |
1424 | Goose lake | Canada | 3.4 | 54.4597 | -101.4875 |
1425 | Wasekamio lake | Canada | 3.2 | 56.7736 | -108.7569 |
1430 | Luoma lake | China | 7 | 34.0792 | 118.1958 |
1431 | Orog lake | Mongolia | 2.9 | 45.0569 | 100.8542 |
1432 | Pung lake | China | 4.5 | 31.4736 | 90.9514 |
1434 | Alvaro Obregon | Mexico | 3.9 | 27.8653 | -109.8625 |
1437 | laguna de Tansin | Honduras | 4.3 | 15.2708 | -83.9181 |
1445 | Bairab lake | China | 3.3 | 35.0264 | 83.1292 |
1467 | Ross R. Barnett reservoir | United States | 2.7 | 32.4458 | -90.0264 |
1479 | lake Atitlan | Guatemala | 4 | 14.7069 | -91.1986 |
1482 | Zzzz | Iraq | 2.6 | 30.6847 | 46.6236 |
1489 | Winefred lake | Canada | 3.8 | 55.4875 | -110.5514 |
1493 | lake Apopka | United States | 4.9 | 28.6347 | -81.6347 |
1498 | Sebago lake | United States | 4.2 | 43.8708 | -70.5792 |
1501 | Matatila Dam reservoir | India | 3.4 | 25.0847 | 78.3403 |
1503 | Changhu lake | China | 3 | 30.4403 | 112.4597 |
1504 | Zhelin reservoir | China | 2.7 | 29.2569 | 115.4681 |
1505 | Sniardwy | Poland | 3.6 | 53.7569 | 21.6958 |
1509 | Summer lake | United States | 4.3 | 42.7875 | -120.7319 |
1510 | Quill lakes | Canada | 5.4 | 51.9181 | -104.0903 |
1511 | lago Pellegrini | Argentina | 3.6 | -38.6931 | -67.9847 |
1516 | ozero Baunt | Russian Federation | 4.4 | 55.1847 | 113.0181 |
1518 | Cildir lake | Turkey | 4.4 | 41.0597 | 43.2458 |
1519 | lough Derg | Ireland | 1.9 | 52.9125 | -8.4319 |
1524 | Gordon lake | Canada | 3.6 | 56.4819 | -110.3986 |
1526 | Lower lough Erne | United Kingdom | 2.5 | 54.4875 | -7.8097 |
1529 | lago Trasimeno | Italy | 4.3 | 43.1514 | 12.0986 |
1534 | Dawa lake | China | 4.5 | 31.2458 | 84.9569 |
1537 | lake Victoria | Australia | 4.8 | -33.9792 | 141.2681 |
1540 | Dunedelatue lake | Canada | 2.6 | 67.5236 | -127.1153 |
1547 | Crean lake | Canada | 3.6 | 54.0736 | -106.1681 |
1551 | ozero Chukochye | Russian Federation | 4.3 | 69.4514 | 160.2847 |
1555 | Indawngyi Natural lake | Myanmar | 3.7 | 25.1208 | 96.3292 |
1557 | Gasi Kule lake | China | 4.6 | 38.1319 | 90.7931 |
1560 | lago do Rei and lago Marimba | Brazil | 3.3 | -3.1431 | -59.7153 |
1562 | embalse de Almendra | Spain | 1.9 | 41.2569 | -6.2819 |
1567 | Choke Canyon reservoir | United States | 3.1 | 28.4819 | -98.3042 |
1569 | ozero Nedili | Russian Federation | 2.3 | 63.6153 | 125.0986 |
1573 | ozero Unarba 2-ya | Russian Federation | 2.6 | 68.3931 | 155.1625 |
1576 | Lac Ste Therese | Canada | 3.9 | 64.6292 | -121.5542 |
1582 | Night Hawk lake | Canada | 2.6 | 48.4764 | -80.9431 |
1583 | lago Calafquem | Chile | 3.1 | -39.5208 | -72.1736 |
1584 | lake Afrera | Ethiopia | 3.7 | 13.2736 | 40.8931 |
1594 | Suggi lake | Canada | 4 | 54.3625 | -102.7764 |
1596 | lago di Bolsena | Italy | 5.2 | 42.6042 | 11.9292 |
1597 | Yangcheng lake and Yangcheng West lake | China | 2.5 | 31.4292 | 120.8097 |
1608 | Kirpilskiy liman and Bolshoy Orlinyy liman and Zolotoy liman et al | Russian Federation | 2.3 | 45.8708 | 38.1708 |
1609 | Qoshqarkol | Kazakhstan | 4.9 | 46.4236 | 81.2764 |
1613 | ozero Keppetekh et al | Russian Federation | 3.8 | 68.1792 | 154.9931 |
1616 | lagoa Poelela | Mozambique | 3.8 | -24.5264 | 35.0653 |
1618 | Miyun reservoir | China | 2.5 | 40.5375 | 116.9403 |
1619 | Chem lake | China | 3.8 | 34.1819 | 79.7792 |
1623 | William lake | Canada | 2.4 | 53.8097 | -99.4125 |
1627 | lake Azuei | Haiti;Dominican Republic | 4.1 | 18.5792 | -72.0069 |
1629 | Bulmer lake | Canada | 4.2 | 62.7958 | -120.7625 |
1632 | Narvskoye reservoir | Russian Federation;Estonia | 3.1 | 59.2986 | 28.1764 |
1640 | Davy lake | Canada | 3.3 | 58.8514 | -108.3264 |
1649 | Muritz | Germany | 3.5 | 53.4069 | 12.7292 |
1652 | Daggyai lake | China | 3.3 | 29.8208 | 85.7264 |
1653 | Xi Aohaizi reservoir | China | 4 | 39.7375 | 78.7375 |
1656 | lagoa dos Ouadros | Brazil | 5.2 | -29.6931 | -50.0792 |
1658 | Dongping lake | China | 4.7 | 35.9625 | 116.1986 |
1659 | lake Naivasha | Kenya | 4.6 | -0.7681 | 36.3514 |
1666 | Travaillant lake | Canada | 4.9 | 67.6958 | -131.7958 |
1676 | Egg lake | Canada | 3.5 | 55.1153 | -105.5153 |
1679 | Ekoln and Malaren | Sweden | 1.6 | 59.7458 | 17.6097 |
1684 | Suqian lake | China | 3.4 | 38.8653 | 93.8958 |
1703 | Kistigan lake | Canada | 3.6 | 54.6458 | -92.5347 |
1706 | Rocky lake | Canada | 2.8 | 54.1569 | -101.4792 |
1714 | lake Poygan and lake Butte des Morts | United States | 2.7 | 44.1486 | -88.8403 |
1726 | Terewah/Narran lake | Australia | 3.5 | -29.8486 | 147.3319 |
1730 | Ringco Kongma lake and Ringco Ogma lake | China | 3.9 | 30.9486 | 89.6486 |
1734 | ozero Omuk-Kyuel' | Russian Federation | 4.4 | 71.0153 | 147.1847 |
1735 | lac Malartic | Canada | 2.6 | 48.2514 | -78.1014 |
1740 | laguna Marfil | Bolivia Plurinational State of;Brazil | 4.3 | -15.5125 | -60.2431 |
1745 | Skilak lake | United States | 3.1 | 60.4347 | -150.4347 |
1748 | lake Almanor | United States | 3.1 | 40.2708 | -121.1931 |
1749 | laguna de Pozuelo | Argentina | 4.2 | -22.3597 | -66.0014 |
1756 | Great Sacandaga lake | United States | 3.2 | 43.1319 | -74.1903 |
1761 | lake Cascade | United States | 3.1 | 44.5792 | -116.1069 |
1771 | lac Rweru | Burundi;Rwanda | 4.3 | -2.3958 | 30.3153 |
1774 | lac Kabele | Congo The Democratic Republic of the | 3.5 | -8.9125 | 25.9597 |
1785 | East Tsaiji Nai'er lake | China | 4.8 | 37.4903 | 93.9514 |
1787 | Bolshoye Yeravnoye lake | Russian Federation | 4.8 | 52.6181 | 111.4986 |
1789 | Dengizkul | Uzbekistan | 4.3 | 39.1514 | 64.0903 |
1790 | Yaggain lake | China | 4 | 33.0486 | 89.7875 |
1793 | ozero Shalkar-Egakara | Russian Federation | 5.5 | 50.7514 | 60.8931 |
1801 | lac Kabwe | Congo The Democratic Republic of the | 4.3 | -9.1819 | 26.0181 |
1802 | laguna San Pedro | Argentina | 2.3 | -31.3958 | -60.5458 |
1806 | Aru lake | China | 3 | 33.9431 | 82.4319 |
1807 | Jieze lake | China | 4.5 | 33.9569 | 80.9014 |
1812 | Taiyang lake | China | 4 | 35.9292 | 90.5931 |
1815 | Little Sachigo lake | Canada | 3.5 | 54.1653 | -92.2347 |
1818 | lake Manitou | Canada | 3.1 | 45.7486 | -81.9486 |
1827 | Lagkor lake | China | 4 | 32.0319 | 84.1431 |
1831 | Glafsfjorden | Sweden | 2.2 | 59.5486 | 12.6597 |
1832 | North Wabasca lake | Canada | 2.8 | 56.0542 | -113.9292 |
1835 | West Taiji Nai'er lake | China | 3.4 | 37.7125 | 93.3819 |
1840 | Ercek lake | Turkey | 4.3 | 38.6847 | 43.5764 |
1841 | Inawashiro lake | Japan | 4.3 | 37.4708 | 140.1014 |
1853 | laguna Mandiore | Bolivia Plurinational State of;Brazil | 3.7 | -18.1708 | -57.5458 |
1869 | lake Ihotry | Madagascar | 5.8 | -21.9375 | 43.6958 |
1871 | Lungmu lake | China | 3.9 | 34.6264 | 80.4903 |
1872 | lago Rogagua | Bolivia Plurinational State of | 4.7 | -13.9653 | -66.9819 |
1887 | ozero Kadibek | Kazakhstan | 3.5 | 53.8375 | 70.6264 |
1891 | Dogaicoring Quangco lake | China | 5.9 | 35.3292 | 89.2458 |
1893 | Roxen | Sweden | 2.9 | 58.5125 | 15.6236 |
1902 | Lake Maninjau | Indonesia | 3.5 | -0.2958 | 100.1931 |
1904 | Zzzz | Indonesia | 4.3 | -0.2319 | 116.4458 |
1908 | Sled lake | Canada | 3.3 | 54.4569 | -107.4264 |
1910 | Pigeon lake | Canada | 3.4 | 53.0181 | -114.0347 |
1913 | Trichonis/Trichonida lake | Greece | 2.9 | 38.5736 | 21.5625 |
1917 | Xiangyang lake | China | 3 | 35.8264 | 89.4542 |
1928 | Heishi North lake | China | 3.7 | 35.5792 | 82.7847 |
1941 | Valli di Comacchio | Italy | 3.8 | 44.6208 | 12.1681 |
1943 | lake Chiuta and lake Amaramba | Malawi;Mozambique | 2.8 | -14.8208 | 35.8458 |
1945 | Keeley lake | Canada | 4.7 | 54.9014 | -108.1347 |
1951 | laguna Guachuna | Bolivia Plurinational State of | 3.4 | -13.1625 | -65.7708 |
1954 | laguna Uberaba | Brazil;Bolivia Plurinational State of | 6.6 | -17.4931 | -57.8014 |
1955 | lago do Acara | Brazil | 3.1 | -3.6542 | -62.6903 |
1958 | Argazinskoye reservoir | Russian Federation | 3.1 | 55.3875 | 60.3958 |
1967 | Burog lake | China | 3.4 | 34.4292 | 85.7819 |
1969 | Aqkol lake | Kazakhstan | 3.7 | 48.8292 | 63.7403 |
1970 | Mugqu lake | China | 3.6 | 31.0403 | 89.0208 |
1971 | Gomang lake | China | 3.7 | 31.2292 | 89.2042 |
1975 | laguna de Epecuen | Argentina | 4.7 | -37.1181 | -62.8986 |
1979 | Zhangdu lake | China | 2.9 | 30.6458 | 114.6958 |
1984 | Unden | Sweden | 3.8 | 58.7931 | 14.4458 |
1989 | Dog lake | Canada | 2.8 | 51.0375 | -98.5514 |
1993 | Xiashan reservoir | China | 3.3 | 36.4431 | 119.4819 |
1997 | ozero Syrkovoye | Russian Federation | 3.3 | 60.6375 | 65.0236 |
2012 | Pueblo Viejo | Mexico | 3.2 | 22.1792 | -97.8931 |
2015 | lagoa dos Barros | Brazil | 4.6 | -29.9319 | -50.3708 |
2018 | Yueliang lake | China | 3.1 | 45.7264 | 123.8986 |
2019 | ozero Tursunskiy Tuman | Russian Federation | 3.7 | 60.5625 | 63.9181 |
2021 | Lawford lake | Canada | 2.7 | 54.5097 | -96.6819 |
2027 | Kostromskoye reservoir | Russian Federation | 2.9 | 57.9153 | 40.7069 |
2032 | Eagle lake | United States | 2.3 | 40.7014 | -120.6986 |
2048 | Linggo lake | China | 4.3 | 33.8458 | 88.5931 |
2054 | Vuohijarvi | Finland | 1.9 | 61.2153 | 26.6736 |
2057 | Ulken Azhbolat lake | Kazakhstan | 3.4 | 53.2597 | 77.4542 |
2064 | Kaweenakumik lake | Canada | 3 | 52.8681 | -99.5097 |
2073 | lago Sarmiento | Chile | 2.8 | -51.0208 | -72.6625 |
2092 | laguna de Castillos | Uruguay | 3.6 | -34.3069 | -53.9319 |
2097 | Pakwash lake | Canada | 2.6 | 50.7597 | -93.4875 |
2099 | laguna del Monte | Argentina | 4.3 | -36.9903 | -62.5042 |
2102 | Mawdesley lake | Canada | 3.7 | 54.0264 | -100.6625 |
2104 | Datong lake | China | 3.9 | 29.2097 | 112.5097 |
2107 | ozero Orokto | Russian Federation | 2.7 | 70.8736 | 138.3069 |
2109 | lac a Jacques | Canada | 2.2 | 66.2319 | -127.3764 |
2111 | Cienaga Chilloa | Colombia | 2.8 | 9.1569 | -74.0792 |
2113 | ozero Teniz | Kazakhstan | 2.3 | 54.1208 | 64.5569 |
2116 | Qagoi lake | China | 3 | 31.8208 | 88.2208 |
2117 | Birch lake | Canada | 2.8 | 62.0653 | -116.5597 |
2124 | lake Awasa | Ethiopia | 3.4 | 7.0347 | 38.4264 |
2129 | Kahul lake | Ukraine;Moldova Republic of | 3.5 | 45.3681 | 28.3986 |
2130 | Tadenet lake | Canada | 3.8 | 68.6542 | -126.0819 |
2132 | Spring lake and Mississippi river | United States | 2.4 | 41.9431 | -90.1542 |
2138 | Quemo lake | China | 3.2 | 33.8681 | 91.1903 |
2148 | Kishi Qaraoy koli | Kazakhstan | 4.6 | 54.0264 | 71.3236 |
2156 | Changdang lake | China | 3.7 | 31.6292 | 119.5542 |
2157 | Atasta | Mexico | 3.4 | 18.5764 | -92.1903 |
2162 | Gull lake | Canada | 2.6 | 52.5597 | -114.0236 |
2167 | Lubans | Latvia | 3.8 | 56.7764 | 26.8847 |
2168 | Millwood lake | United States | 3.4 | 33.7292 | -93.9653 |
2179 | Semmens lake | Canada | 2.8 | 55.0569 | -94.1653 |
2186 | Pingvallavatn | Iceland | 2.7 | 64.2097 | -21.1486 |
2190 | laguna de Chila | Mexico | 3.9 | 22.2181 | -98.0903 |
2192 | Buffalo lake | Canada | 3.2 | 52.4875 | -112.8597 |
2199 | Tasersuaq | Greenland | 1.8 | 66.7542 | -50.9375 |
2201 | Bilikol | Kazakhstan | 3.1 | 43.0181 | 70.6903 |
2202 | Cam lake | China | 4.2 | 32.1292 | 83.5347 |
2203 | Sengli lake | China | 2.8 | 30.4292 | 84.0681 |
2226 | Khanskoye ozero | Russian Federation | 3.8 | 46.2625 | 38.3458 |
2228 | lago Anibal Pinto | Chile | 3.3 | -52.0208 | -72.4653 |
2232 | Mokoan swamp (Seven Mile swamp) | Australia | 2.3 | -36.4486 | 146.0847 |
2238 | Barkol lake | China | 4 | 43.6764 | 92.7903 |
2239 | ozero Uryum | Russian Federation | 2.8 | 54.5569 | 78.4903 |
2243 | lagoa Paru | Brazil | 5.6 | -1.9125 | -55.7958 |
2245 | Oak lake | Canada | 2.4 | 49.6653 | -100.7514 |
2246 | ozero Anolgytgyn | Russian Federation | 3.5 | 60.0069 | 163.7097 |
2253 | Clear Lake reservoir | United States | 2.7 | 41.8792 | -121.1792 |
2259 | Baril lake | Canada | 2.6 | 58.7764 | -111.6597 |
2262 | Dezadeash lake | Canada | 2.8 | 60.4819 | -136.9958 |
2263 | Kazan lake | Canada | 2.7 | 55.5625 | -108.3347 |
2264 | ozero Kurilskoye | Russian Federation | 3.4 | 51.4542 | 157.0986 |
2270 | Bayan lake | Mongolia | 3.1 | 48.4569 | 95.1347 |
2271 | Kinkony | Madagascar | 3 | -16.1458 | 45.8319 |
2273 | ozero Chonduya | Russian Federation | 4.1 | 68.5819 | 152.2819 |
2276 | Kotcho lake | Canada | 3 | 59.0653 | -121.1097 |
2280 | Ibera wetlands (part of)/lago Esteros del Ibera | Argentina | 4.2 | -28.0931 | -56.7819 |
2285 | ozero Ebeyty | Russian Federation | 4.5 | 54.6514 | 71.7319 |
2304 | Yanghu lake | China | 3.6 | 35.4292 | 84.6458 |
2305 | Salt Water lake | China | 4.1 | 35.2931 | 83.1153 |
2313 | lac Ihema | Rwanda;Tanzania United Republic of | 3.2 | -1.8458 | 30.7875 |
2314 | Khukh lake | Mongolia | 3.9 | 49.4986 | 115.5847 |
2315 | Beidagang reservoir | China | 2 | 38.7208 | 117.3764 |
2316 | Suyahu reservoir | China | 3.7 | 33.0458 | 114.2431 |
2317 | Chiemsee | Germany | 3.2 | 47.8903 | 12.4681 |
2323 | Peerless lake | Canada | 3.3 | 56.6514 | -114.6514 |
2326 | Chip lake | Canada | 2.4 | 53.6542 | -115.3792 |
2330 | Hargrave lake | Canada | 3 | 54.4653 | -99.6958 |
2331 | ozero Andreevskoye | Russian Federation | 2.8 | 58.9014 | 66.8625 |
2335 | Birch lake | Canada | 3.2 | 64.3597 | -121.9236 |
2336 | Norra Dellen | Sweden | 2.9 | 61.8931 | 16.6931 |
2345 | Houghton lake | United States | 3.6 | 44.3403 | -84.7292 |
2351 | Copp lake | Canada | 2.1 | 60.2597 | -114.7347 |
2358 | Glan | Sweden | 3.3 | 58.6208 | 15.9653 |
2361 | Margog lake | China | 3.2 | 33.8458 | 86.9958 |
2364 | Djorf Torba | Algeria | 2.3 | 31.5375 | -2.7486 |
2365 | Hawizeh marshes | Iran Islamic Republic of;Iraq | 4.1 | 31.5986 | 47.6292 |
2367 | Assean lake | Canada | 1.8 | 56.2014 | -96.5819 |
2368 | Big Sandy lake | Canada | 3.2 | 54.4208 | -104.1069 |
2369 | Black lake and Starks North canal | United States | 2.6 | 30.0319 | -93.4319 |
2371 | Bering lake and Starodubtsov lake | United States | 1.4 | 60.2903 | -144.3153 |
2388 | ozero Baskunchak | Russian Federation | 3.9 | 48.1847 | 46.8986 |
2395 | lake Caddabassa | Ethiopia | 3.7 | 10.2014 | 40.4708 |
2403 | lake Brooks | United States | 2.3 | 58.5236 | -155.8375 |
2408 | ozero Sasyk | Ukraine | 3.3 | 45.1958 | 33.4958 |
2415 | Cuoda Rima lake | China | 3.4 | 35.3347 | 91.8486 |
2418 | Turtle lake | Canada | 2.8 | 53.5792 | -108.6569 |
2420 | Waterhen lake | Canada | 3.1 | 54.4736 | -108.4681 |
2421 | Chitek lake | Canada | 2.4 | 52.4292 | -99.4236 |
2425 | Narac lake | Belarus | 3.7 | 54.8514 | 26.7764 |
2427 | Fati | Mali | 3 | 16.2625 | -3.6819 |
2436 | Weyakwin lake | Canada | 2.5 | 54.5097 | -105.9792 |
2447 | Margaret lake | Canada | 2.8 | 58.9458 | -115.3486 |
2470 | Richardson lake | Canada | 3.9 | 58.3875 | -111.0736 |
2473 | Storsjon | Sweden | 2.5 | 60.5653 | 16.7097 |
2475 | Yuye lake | China | 2.7 | 36.0236 | 88.7986 |
2477 | Wellesley lake | Canada | 3.5 | 62.3653 | -139.7847 |
2484 | Catemaco | Mexico | 3.1 | 18.4069 | -95.0625 |
2485 | Zzzz | Canada | 2.3 | 67.3625 | -126.0153 |
2495 | Clive lake | Canada | 2.8 | 63.2181 | -118.8819 |
2497 | ozero Leushinskiy Tuman | Russian Federation | 3.5 | 59.6847 | 65.7153 |
2507 | Azhibeksor Koli | Kazakhstan | 3.1 | 50.1458 | 68.3931 |
2511 | Meiriqiecuomari | China | 3.2 | 33.6486 | 89.7292 |
2516 | loch Lomond | United Kingdom | 1.5 | 56.0708 | -4.5792 |
2517 | Guanting reservoir | China | 2.9 | 40.3847 | 115.7792 |
2518 | lago Balmaceda | Chile | 3.1 | -51.8875 | -72.3514 |
2528 | ozero Chukochye | Russian Federation | 2.6 | 69.3736 | 160.1319 |
2532 | Nissum Fjord and Bovling Fjord and Felsted Kog | Denmark | 2.4 | 56.3486 | 8.1986 |
2535 | ozero Ulakhan-Kyuel' | Russian Federation | 2.5 | 67.7764 | 124.2403 |
2540 | Zzzz | Greenland | 1.8 | 80.1625 | -22.0986 |
2544 | Lenore lake | Canada | 3.2 | 52.5097 | -104.9736 |
2547 | Dayan lake | Mongolia | 3.5 | 48.3736 | 88.8236 |
2550 | cienaga Zarate and cienaga Ceiba | Colombia | 3.7 | 9.7264 | -74.7208 |
2554 | Lebsko | Poland | 3 | 54.7097 | 17.3931 |
2559 | laguna Gaiba | Brazil;Bolivia Plurinational State of | 3.7 | -17.7819 | -57.7236 |
2560 | Witchekan lake | Canada | 2.4 | 53.4236 | -107.5847 |
2569 | Serbug lake | China | 3.4 | 32.0042 | 88.2097 |
2594 | Jackfish lake | Canada | 3.7 | 53.0708 | -108.4042 |
2595 | Waskesiu lake | Canada | 2.9 | 53.9431 | -106.1625 |
2611 | Neri Pun lake | China | 3.7 | 31.3125 | 91.4542 |
2613 | Nyi lake | China | 2.8 | 34.5764 | 87.3181 |
2616 | lake Harris | United States | 2.9 | 28.7736 | -81.8097 |
2627 | ozero Ik | Russian Federation | 4.1 | 56.0569 | 71.5431 |
2649 | Chihu lake | China | 2.7 | 29.7764 | 115.7042 |
2655 | Tetlin lake | United States | 4.1 | 63.0875 | -142.7653 |
2663 | Oigon lake | Mongolia | 3.2 | 49.1653 | 96.6181 |
2673 | Whitemouth lake | Canada | 2.8 | 49.2347 | -95.6708 |
2682 | Uvsiin Khar Us lake | Mongolia | 2.5 | 49.0986 | 91.9403 |
2693 | lago de Ilopango | El Salvador | 3.7 | 13.6708 | -89.0458 |
2695 | ozero Ruzhnikova | Russian Federation | 3.9 | 67.8597 | 155.9153 |
2696 | ozero Bolshoye Yarovoye | Russian Federation | 4.1 | 52.8736 | 78.6069 |
2701 | Daxi Haizi reservoir | China | 2.4 | 40.5736 | 87.5292 |
2709 | Arsenault lake | Canada | 2.8 | 55.0958 | -108.5458 |
2720 | Gomo lake | China | 4 | 33.6681 | 85.8125 |
2724 | laguna de Leche | Cuba | 2.7 | 22.1931 | -78.6181 |
2725 | ozero Kadi | Russian Federation | 3 | 51.8681 | 140.4792 |
2731 | Muriel lake | Canada | 3.3 | 54.1431 | -110.6847 |
2750 | ozero Suturuaka | Russian Federation | 3.6 | 69.1542 | 145.4125 |
2762 | laguna Coronda | Argentina | 4 | -32.0958 | -60.8819 |
2779 | cienega El Floral and cienaga Iguana | Colombia | 4.4 | 8.7431 | -74.4292 |
2786 | Zzzz | China | 3 | 35.6986 | 91.3569 |
2798 | Runn | Sweden | 1.8 | 60.5681 | 15.7153 |
2799 | Phelps lake | United States | 3.7 | 35.7681 | -76.4431 |
2803 | Kotlabukh lake | Ukraine | 2.8 | 45.4264 | 28.9903 |
2809 | Simpson lake | Canada | 2.1 | 68.1097 | -126.6069 |
2812 | Potholes reservoir | United States | 2.6 | 47.0097 | -119.3319 |
2819 | Telashi lake | China | 3.6 | 34.8069 | 92.2181 |
2877 | Margai lake | China | 3.2 | 35.1292 | 86.7514 |
2881 | Chamu lake | China | 2.5 | 34.3569 | 91.6153 |
2898 | Grenada lake | United States | 2.9 | 33.8319 | -89.7375 |
2907 | laguna Parinacochas | Peru | 3.3 | -15.2931 | -73.7125 |
2923 | Manchar lake | Pakistan | 4.1 | 26.4236 | 67.6431 |
2926 | ozero Oron | Russian Federation | 2.7 | 54.8236 | 112.3014 |
2927 | lago di Varano | Italy | 3.7 | 41.8792 | 15.7597 |
2940 | ozero Tuman | Russian Federation | 2.6 | 59.5986 | 66.2847 |
2944 | Redberry lake | Canada | 2.6 | 52.6986 | -107.1597 |
2946 | lake Ngoin | China | 3.2 | 31.4819 | 91.5014 |
2955 | ozero Udilvy | Russian Federation | 3.1 | 55.5181 | 60.5125 |
2960 | Caribou lake | Canada | 2.8 | 67.9847 | -132.9347 |
2961 | Kurchanskiy liman | Russian Federation | 2.3 | 45.2847 | 37.4736 |
2965 | lac Mandje | Gabon | 2.6 | -2.8042 | 10.3597 |
2970 | lake Newell | Canada | 2.8 | 50.4153 | -111.9514 |
2974 | Kelsey lake | Canada | 2.3 | 53.6458 | -101.0681 |
2978 | Burt lake | United States | 2.7 | 45.4569 | -84.6653 |
2985 | ozero Zhizhitskoye | Russian Federation | 2.6 | 56.2208 | 31.2431 |
2988 | lac des Allemands | United States | 3 | 29.9264 | -90.5681 |
3002 | Parsons lake | Canada | 3.1 | 68.9625 | -133.6403 |
3007 | cienaga de Ayapel | Colombia | 3.1 | 8.3681 | -75.0764 |
3020 | Keluke lake | China | 3.3 | 37.2847 | 96.8986 |
3025 | lac d'Hourtin | France | 2.3 | 45.1597 | -1.1042 |
3040 | Katimik lake | Canada | 2.8 | 52.8986 | -99.3875 |
3044 | Yibug lake | China | 3.6 | 32.9792 | 86.7125 |
3045 | Xuejing lake | China | 2.6 | 35.9847 | 87.3319 |
3053 | Las Salinas | Peru | 2 | -16.3569 | -71.1236 |
3078 | Ngoinyar lake | China | 3.4 | 32.9792 | 88.6875 |
3079 | Garson lake | Canada | 3.2 | 56.3292 | -110.0069 |
3097 | ozero Vyshnevolotskoye | Russian Federation | 2.2 | 57.5569 | 34.4708 |
3109 | embalse del Ebro | Spain | 2.5 | 43.0153 | -3.9181 |
3111 | Luotuo lake | China | 2.5 | 34.4375 | 81.9764 |
3114 | loch Ness | United Kingdom | 1.2 | 57.3792 | -4.3597 |
3129 | Rorey lake | Canada | 2 | 66.9264 | -128.3958 |
3132 | cienaga Colorada and cienaga Catalina and naga Alibu | Colombia | 2.7 | 9.5958 | -74.7097 |
3133 | Kilekale lake | Canada | 2.8 | 66.6569 | -123.9153 |
3135 | Wuskwatim lake | Canada | 2.8 | 55.5653 | -98.5347 |
3150 | lago Ofhidro | Chile | 2.7 | -53.9625 | -69.4042 |
3156 | Yurba lake | China | 2.8 | 35.7403 | 86.6986 |
3171 | Marryat inlet | United States | 3.6 | 68.3764 | -166.6514 |
3173 | ozero Balyma | Russian Federation | 2.5 | 67.8764 | 151.8875 |
3188 | lac Ste Anne | Canada | 2.9 | 53.7069 | -114.3875 |
3189 | lake George | Australia | 2.7 | -37.3875 | 139.9764 |
3191 | lake Towada | Japan | 2.8 | 40.4736 | 140.8681 |
3196 | etang de Cazaux | France | 3.4 | 44.4903 | -1.1569 |
3200 | Talimardzhan reservoir | Uzbekistan | 3.1 | 38.3681 | 65.5708 |
3201 | Rola lake | China | 3.7 | 35.4097 | 88.3792 |
3208 | Zzzz | Azerbaijan | 3.1 | 38.9514 | 48.8792 |
3211 | Boye So | Greenland | 1.5 | 70.1097 | -50.6292 |
3218 | laguna Melincue | Argentina | 4.6 | -33.7097 | -61.4625 |
3219 | Zzzz | Greenland | 1.8 | 65.6153 | -50.3181 |
3231 | Frog lake | Canada | 2.5 | 53.9347 | -110.3403 |
3238 | lake Verret | United States | 2.4 | 29.8819 | -91.1597 |
3243 | Kingsmere lake | Canada | 2.9 | 54.1069 | -106.4514 |
3258 | Bugunskoye wtaer reservoir | Kazakhstan | 2.8 | 42.7347 | 69.0736 |
3276 | ozero Maloye Erovnoye | Russian Federation | 4 | 52.6597 | 111.6375 |
3281 | Orsasjon/Orsa | Sweden | 2.5 | 61.0819 | 14.5486 |
3307 | lago di Bracciano | Italy | 3.9 | 42.1236 | 12.2292 |
3309 | Kytai lake | Ukraine | 1.8 | 45.5014 | 29.1431 |
3312 | ozero Kubuy | Russian Federation | 2.3 | 71.0486 | 137.7681 |
3343 | Pongyin lake | China | 2.8 | 32.8958 | 88.1792 |
3347 | ozero Duvankul' | Russian Federation | 3.5 | 54.5931 | 61.5653 |
3350 | Dabie lake | Poland | 2.2 | 53.4542 | 14.6764 |
3365 | ozero Arakhley | Russian Federation | 3.4 | 52.2069 | 112.8792 |
3373 | lac Assal | Djibouti | 3.9 | 11.6653 | 42.4097 |
3379 | Raznas ezers | Latvia | 3.2 | 56.3292 | 27.4569 |
3392 | Magiss lake | Canada | 2.4 | 52.9764 | -91.6875 |
3394 | Dangqiong lake | China | 3.6 | 31.5708 | 86.7403 |
3397 | lac De Montigny | Canada | 2.3 | 48.1486 | -77.9208 |
3398 | ozero Dyryn-Ebe | Russian Federation | 2.4 | 67.7153 | 154.5042 |
3421 | ozero Koybagar | Kazakhstan | 3.6 | 52.6014 | 65.5792 |
3446 | Rufus lake | Canada | 3.1 | 69.5986 | -129.9931 |
3471 | laguna del Palmar | Argentina | 2.9 | -29.5736 | -60.7069 |
3476 | Shitou Koumen reservoir | China | 2.4 | 43.8431 | 125.8097 |
3478 | lake Sorell | Australia | 1.9 | -42.0903 | 147.1847 |
3493 | Crater lake | United States | 3.5 | 42.9431 | -122.0986 |
3500 | ozero Maraldy | Kazakhstan | 3.6 | 52.3125 | 77.7736 |
3523 | Wabimeig lake | Canada | 2.7 | 51.4708 | -85.5875 |
3529 | Brackett lake | Canada | 3.2 | 65.2125 | -125.3514 |
3534 | Garkung lake | China | 2.7 | 33.9681 | 86.4847 |
3539 | Baidoi lake | China | 2.8 | 32.7764 | 87.8042 |
3566 | Iznajar reservoir | Spain | 1.2 | 37.2819 | -4.3486 |
3570 | Colen (western part of) | Canada | 2.8 | 54.5681 | -95.4403 |
3586 | barrage Bin El-Ouidane | Morocco | 1.9 | 32.0986 | -6.4042 |
3587 | Cardinal lake | Canada | 2.8 | 56.2347 | -117.7403 |
3604 | Basin lake | Canada | 2.8 | 52.6069 | -105.2792 |
3607 | Boraphet | Thailand | 2.2 | 15.7069 | 100.2292 |
3614 | Venustiano Carranza | Mexico | 2.5 | 27.5014 | -100.6375 |
4292 | lacul Brate | Romania | 2.3 | 45.4847 | 28.0708 |
4503 | lake Mendota | United States | 2.5 | 43.1069 | -89.4125 |
4947 | Erne lough | United Kingdom | 1.2 | 54.2458 | -7.5708 |
4953 | Bogoria lake | Kenya | 1.5 | 0.2542 | 36.0958 |
5506 | Great Pond | United States | 1.5 | 44.5375 | -69.8431 |
5729 | Amanningen lake | Sweden | 1.5 | 59.9458 | 15.9792 |
6048 | Poinsett | United States | 2.2 | 44.5542 | -97.0958 |
6561 | Squam lake | United States | 1.1 | 43.7625 | -71.5125 |
6785 | Erken | Sweden | 1.5 | 59.8458 | 18.5764 |
7434 | Norra Barken lake | Sweden | 1 | 60.1208 | 15.5042 |
7739 | Bemidji | United States | 1.9 | 47.5208 | -94.8458 |
7840 | Loskop reservoir | South Africa | 1 | -25.4292 | 29.3208 |
7889 | lough Melvin | Ireland;United Kingdom | 1.3 | 54.4208 | -8.1264 |
8089 | lacul Badabag | Romania | 1.9 | 44.9236 | 28.7597 |
8527 | Cuerda Del Pozo reservoir | Spain | 1 | 41.8542 | -2.7458 |
9168 | lake Dranov | Romania | 1.9 | 44.8708 | 29.1903 |
9322 | Sunapee lake | United States | 1.1 | 43.3986 | -72.0514 |
10161 | Pike Bay | United States | 2.1 | 47.3542 | -94.5708 |
10421 | Hancock | United States | 2 | 27.9708 | -81.8375 |
10679 | Albufera lagoon | Spain | 1.8 | 39.3375 | -0.3625 |
10694 | Hartbeespoort reservoir | South Africa | 1.2 | -25.7458 | 27.8625 |
12200 | West Okoboji lake | United States | 1.1 | 43.3792 | -95.1542 |
12262 | loch Leven | United Kingdom | 1.5 | 56.2042 | -3.3792 |
12471 | Trout lake | United States | 1.4 | 46.0319 | -89.6708 |
13377 | Douglas lake | United States | 1.5 | 45.5819 | -84.7069 |
13484 | Bitter | United States | 2.4 | 45.2792 | -97.3208 |
13916 | lacul Gorgova and lacul Gorgovat | Romania | 1.8 | 45.1542 | 29.1903 |
15309 | lacul Rosu and lacul Rosulet | Romania | 1.2 | 45.0569 | 29.5681 |
15600 | Idro lake | Italy | 0.9 | 45.7792 | 10.5125 |
16662 | Jijila | Romania | 1.3 | 45.3486 | 28.1208 |
16814 | lacul Lumina | Romania | 1.5 | 45.0875 | 29.4903 |
17329 | lacul Merhei | Romania | 1.4 | 45.3236 | 29.4542 |
18089 | Macnean lough | United Kingdom | 0.6 | 54.2875 | -7.8458 |
18140 | Rosarito reservoir | Spain | 1 | 40.1042 | -5.3125 |
164651 | Portmore lough | United Kingdom | 0.5 | 54.5625 | -6.2792 |
208447 | lacul Matita | Romania | 1.1 | 45.3014 | 29.3708 |
208662 | lacul Furtuna | Romania | 1.5 | 45.2153 | 29.1264 |
208840 | Mantua lakes | Italy | 0.5 | 45.1625 | 10.7792 |
208962 | lacul Isac | Romania | 1.3 | 45.1097 | 29.2819 |
209099 | lacul Puiu | Romania | 1.3 | 45.0569 | 29.4792 |
211002 | lake Auburn | United States | 1.3 | 44.1458 | -70.2486 |
214687 | Branched Oak lake | United States | 0.9 | 40.9708 | -96.8625 |
215215 | Morse reservoir | United States | 0.5 | 40.0792 | -86.0458 |
215311 | Geist reservoir | United States | 0.5 | 39.9375 | -85.9375 |
215339 | Eagle-Creek | United States | 0.6 | 39.8542 | -86.3042 |
100000001 | Curonian | Russian Federation;Lithuania | 14.9 | 55.0347 | 20.9792 |
100000002 | Eyre | Australia | 19.2 | -28.3875 | 137.188 |
100000003 | Theewaterskloof reservoir | South Africa | 1.6 | -34.0042 | 19.1542 |
100000004 | lough Mourve | United Kingdom | 0.2 | 54.7625 | -5.8042 |
100000011 | Rukwa | Tanzania United Republic of | 23.9 | -8.0014 | 32.1569 |
100000012 | Ijsselmeer | Netherlands | 10.7 | 52.5431 | 5.2347 |
100000013 | Kyoga | Uganda | 7.8 | 1.4708 | 32.9958 |
100000014 | Playgreen lake | Canada | 4.8 | 53.8042 | -97.9875 |
100000015 | Little Playgreen lake | Canada | 2.4 | 54.0042 | -97.9042 |
100000016 | Markermeer | Netherlands | 10.7 | 52.5431 | 5.2347 |
100000033 | Thomson | United States | 2.5 | 44.2875 | -97.4708 |
200000001 | Guerrah-Et-Tarf | Algeria | 6.3 | 35.6792 | 7.1375 |
200000002 | Zehrez-Chergui | Algeria | 4.6 | 35.2292 | 3.5458 |
200000003 | Chott-Ech-Chergui | Algeria | 4.9 | 34.4958 | 0.9458 |
200000004 | Sebkha-D'Oran | Algeria | 4.4 | 35.5208 | -0.8625 |
200000006 | Toshka | Egypt | 6.2 | 23.4125 | 30.6292 |
200000007 | Nwetwe-Pan | Botswana | 8.2 | -20.7792 | 25.3792 |
200000008 | Sua-Pan | Botswana | 13.3 | -20.6375 | 25.9792 |
200000010 | Al-Wahda | Morocco | 2.2 | 34.5958 | -5.1458 |
200000011 | Chott-El-Hodna | Algeria | 8 | 35.4292 | 4.6458 |
200000012 | Etosha-Pan | Namibia | 21.4 | -18.7625 | 16.3958 |
200000013 | Rio Tapajaos and Rio Arapiuns | Brazil | 9.1 | -2.7042 | -55.0875 |
200000036 | West Ngalabalab swamp | Sudan | 2.2 | 4.9514 | 34.7486 |
200000065 | Zzzz | Russian Federation | 1.6 | 63.3625 | 44.6875 |
200000067 | Krasnyy | Norway | 1.5 | 63.8792 | 11.3375 |
200000071 | Patos Lagoon | Brazil | 25.2 | -30.6542 | -50.9625 |
200000072 | Maracaibo | Venezuela Bolivarian Republic of | 46.5 | 9.7958 | -71.5958 |
300000138 | Aydar | Uzbekistan | 10.5 | 40.8542 | 67.0792 |
300000140 | Tuz | Turkey | 13.9 | 38.6236 | 33.5208 |
300000177 | Torrens | Australia | 15.4 | -30.6125 | 137.654 |
300000178 | Gairdner | Australia | 9.9 | -31.6542 | 136.1125 |
300000182 | NN Glacial Lake | Greenland | 2.4 | 77.0347 | -20.3403 |
300000185 | Fureso | Greenland | 1.5 | 72.0264 | -26.2931 |
300000223 | Horton lake | Canada | 4.9 | 67.4958 | -122.3875 |
300000250 | Zzzz | Canada | 3.8 | 65.4931 | -71.9569 |
300000274 | Mingo lake | Canada | 4.4 | 64.5708 | -72.2153 |
300000308 | Smart lake | Canada | 1.5 | 63.4986 | -106.8181 |
300000311 | Fletcher lake | Canada | 3.8 | 63.5764 | -108.7458 |
300000328 | Beaverhill lake | Canada | 4.2 | 62.8264 | -104.3681 |
300000337 | Mary lake | Canada | 2.8 | 62.3792 | -103.4958 |
300000347 | Big Rocky lake and Little Rocky lake | Canada | 2.8 | 62.2875 | -102.3347 |
300000349 | Zzzz | Canada | 2.4 | 62.1847 | -97.5458 |
300000369 | Aishihik lake | Canada | 1.9 | 61.5653 | -137.3625 |
300000428 | Riou lake | Canada | 2.8 | 59.0931 | -106.5097 |
300000430 | Nonvianuk lake | United States | 3.5 | 59.0069 | -155.4347 |
300000437 | Tadoule lake | Canada | 3 | 58.6597 | -98.3042 |
300000465 | lac Nachicapau | Canada | 2.1 | 56.7208 | -67.9597 |
300000485 | lac Otelnuk | Canada | 3.1 | 56.0958 | -68.2569 |
300000525 | Bear lake | Canada | 2.2 | 55.1292 | -95.9847 |
300000540 | Neret Malaval Lakes | Canada | 2.2 | 54.6208 | -70.7875 |
300000541 | Trembleur lake | Canada | 2.6 | 54.8542 | -125.0819 |
300000566 | Pierce lake | Canada | 3 | 54.1625 | -92.9875 |
300000579 | Francois lake | Canada | 1.9 | 54.0431 | -125.8542 |
300000619 | Quesnel lake | Canada | 2.2 | 52.5375 | -121.0542 |
300000636 | Chilko lake | Canada | 2.7 | 51.2875 | -124.0625 |
300000651 | Adams lake | Canada | 1.6 | 51.2542 | -119.4958 |
300000654 | Whitewater lake | Canada | 1.8 | 50.7403 | -89.0958 |
300000655 | Walker | Canada | 1.5 | 50.9542 | -66.9208 |
300000659 | Savant lake | Canada | 1.6 | 50.4736 | -90.4319 |
300000704 | Gander lake | Canada | 1.9 | 48.9014 | -54.9236 |
300000709 | Dog lake | Canada | 2 | 48.7125 | -89.5681 |
300000716 | lac Preissac | Canada | 1.6 | 48.2931 | -78.3986 |
300000725 | Banks lake | United States | 2.2 | 47.8847 | -119.1569 |
300000727 | lake Chelan | United States | 1.5 | 47.8653 | -120.1292 |
300000767 | lake George | United States | 1.8 | 43.5431 | -73.6347 |
300000771 | Harney lake | United States | 4.8 | 43.2431 | -119.1292 |
300000772 | Cayuga lake | United States | 2.8 | 42.7458 | -76.7347 |
300000773 | Seneca | United States | 2.5 | 42.7125 | -76.9347 |
300000836 | Richland-Chambers | United States | 2.5 | 31.9625 | -96.1292 |
300000850 | Babicora | Mexico | 4.7 | 29.3125 | -107.8375 |
300000853 | Bustillos | Mexico | 3.7 | 28.5458 | -106.7458 |
300000910 | Jari | Brazil | 2.3 | -5.0625 | -62.4792 |
300000918 | Huaytunas | Bolivia Plurinational State of | 4.7 | -12.9208 | -65.5208 |
300000946 | represa de Promissao | Brazil | 3 | -21.3347 | -49.7042 |
300000962 | lagoa Itapeva | Brazil | 2.8 | -29.5708 | -49.9875 |
300000972 | Tunas Grandes | Argentina | 5.9 | -35.9792 | -62.4458 |
300000977 | Casa de Piedra | Argentina | 4 | -38.1708 | -67.2125 |
300000984 | Huechulafquen lake and Epulafqu’©n lake and lago Paimun | Argentina | 2.1 | -39.7736 | -71.3125 |
300000985 | lago Panguipulli | Chile | 2.3 | -39.6708 | -72.2458 |
300000991 | Todos los Santos | Chile | 3.1 | -41.1014 | -72.3292 |
300000993 | lago Yelcho | Chile | 2.2 | -43.3514 | -72.2292 |
300001007 | ozero Kungasalakh | Russian Federation | 6.1 | 74.5958 | 107.1736 |
300001009 | ozero Kokoro | Russian Federation | 5 | 73.0069 | 101.0653 |
300001016 | ozero Yambuto | Russian Federation | 4.8 | 71.2097 | 79.4625 |
300001024 | ozero Yambuto | Russian Federation | 3.7 | 69.5153 | 69.0125 |
300001028 | ozero Glubokoye | Russian Federation | 2.4 | 69.3264 | 89.7375 |
300001031 | ozero Sobach'ye | Russian Federation | 1.8 | 69.0208 | 91.0042 |
300001038 | Altevatnet | Norway | 1.3 | 68.4653 | 19.7736 |
300001041 | ozero Essey | Russian Federation | 6 | 68.4542 | 102.3931 |
300001048 | ozero Yarato 1-e | Russian Federation | 6.8 | 67.9486 | 71.6486 |
300001053 | Eloygytgyn lake | Russian Federation | 5.3 | 67.4903 | 172.0903 |
300001055 | ozero Agata | Russian Federation | 1.9 | 67.2125 | 92.8375 |
300001059 | ozero Makovskoye | Russian Federation | 3.8 | 66.8403 | 85.2153 |
300001063 | ozero Tembenchi | Russian Federation | 1.6 | 66.7153 | 95.1014 |
300001083 | Kunovat | Russian Federation | 3.1 | 64.9958 | 65.9125 |
300001087 | Zzzz | Russian Federation | 2.2 | 64.7208 | 65.9375 |
300001091 | Zzzz | Russian Federation | 2.7 | 64.4431 | 66.1597 |
300001094 | Snasavatnet | Norway | 2.2 | 64.1986 | 12.1069 |
300001098 | Torron | Sweden | 2.1 | 63.8708 | 12.9931 |
300001112 | Zzzz | Finland | 2.2 | 63.0319 | 30.7292 |
300001115 | ozero Untor | Russian Federation | 3.4 | 62.6458 | 65.1653 |
300001118 | ozero Palvozero | Russian Federation | 2.7 | 62.5958 | 33.7875 |
300001123 | Kolyma River | Russian Federation | 2.2 | 62.0292 | 150.0542 |
300001127 | Femunden | Norway | 2.4 | 62.1069 | 11.7625 |
300001134 | ozero Bol'shoy Sor and ozero Aytor | Russian Federation | 2 | 61.5625 | 67.1819 |
300001141 | Zzzz | Finland | 2.1 | 61.2875 | 24.1375 |
300001142 | ozero Toremtor | Russian Federation | 3.5 | 61.2153 | 79.3181 |
300001153 | Randsfjorden | Norway | 1.8 | 60.4681 | 10.4236 |
300001174 | Ringkobing | Denmark | 5.4 | 56.0375 | 8.2125 |
300001205 | ozero Teletskoye | Russian Federation | 2.5 | 51.3792 | 87.7792 |
300001248 | Urnersee | Switzerland | 1.9 | 47.0208 | 8.3764 |
300001252 | Dalonghu | China | 3.8 | 46.7042 | 124.3792 |
300001256 | Khadzhybeys'kyy lagoon | Ukraine | 1.6 | 46.6542 | 30.5431 |
300001257 | Huoshaohei lake and Tahlag lake and Yamenqi lake and Aobao lake and Xiaoshang lake and Alqagtai lake and Talahong lake and Delong lake and Yangcaohao lake and Beiqin lake and Amuta lake and Yamenxi lake | China | 2.8 | 46.5958 | 124.1875 |
300001274 | lago di Como | Italy | 2 | 46.0069 | 9.2597 |
300001297 | Soungari | China | 1.7 | 43.4903 | 127.1736 |
300001316 | Vpadina Ayakalytma | Uzbekistan | 4.5 | 40.6208 | 64.5208 |
300001323 | Yuqiao | China | 2.8 | 40.0375 | 117.5458 |
300001382 | Bangdag lake | China | 4.4 | 34.9542 | 81.5292 |
300001398 | Tarbela dam Haripur | Pakistan | 2.6 | 34.1375 | 72.7986 |
300001459 | Gyesar lake | China | 3.3 | 30.1514 | 84.8292 |
300001496 | Bargi Dam | India | 2.6 | 22.9125 | 79.9375 |
300001497 | Hasdeo Bango | India | 1.7 | 22.6208 | 82.6708 |
300001503 | Rengali | India | 3.9 | 21.3292 | 85.0042 |
300001508 | Indravati | India | 1.5 | 19.2542 | 82.8458 |
300001509 | Sriram Sagar | India | 3.9 | 18.9375 | 78.2958 |
300001518 | Lam Pao | Thailand | 1.6 | 16.7847 | 103.5986 |
300001530 | Pasak Chonlasit | Thailand | 2.8 | 15.0042 | 101.0458 |
300001537 | Goronyo Dam | Nigeria | 3.5 | 13.5375 | 5.9292 |
300001545 | Barrage de Bagre | Burkina Faso | 2 | 11.5375 | -0.6958 |
300001549 | Tri An | Viet Nam | 4.2 | 11.2125 | 107.1708 |
300001551 | Maga | Cameroon | 3.4 | 10.8042 | 14.9542 |
300001589 | lake Singkarak | Indonesia | 3.7 | -0.5903 | 100.5292 |
300001600 | lake Matano | Indonesia | 3.5 | -2.4847 | 121.3569 |
300001609 | danau Ranau | Indonesia | 3.7 | -4.8486 | 103.9347 |
300001611 | Sulunga | Tanzania United Republic of | 11.8 | -6.1125 | 35.1875 |
300001612 | Mtera | Tanzania United Republic of | 6.2 | -7.0375 | 35.8375 |
300001619 | Quiminha | Angola | 2.5 | -8.9625 | 13.9458 |
300001625 | lake Tengano | Solomon Islands | 4.6 | -11.7847 | 160.4958 |
300001639 | Gregory | Australia | 4.8 | -20.2208 | 127.4458 |
300001642 | Percival | Australia | 2.8 | -21.3708 | 124.6708 |
300001643 | Buchanan | Australia | 3.8 | -21.6042 | 145.8792 |
300001645 | Dora | Australia | 4.3 | -22.0458 | 122.9375 |
300001646 | Auld | Australia | 2.7 | -22.4792 | 123.8042 |
300001648 | Disappointment | Australia | 4.2 | -23.4125 | 122.7042 |
300001655 | Carnegie | Australia | 5.4 | -26.1375 | 122.2292 |
300001656 | Wells | Australia | 3.3 | -26.6958 | 123.2208 |
300001664 | Malapula | Australia | 3 | -28.3542 | 138.0958 |
300001665 | Rasen | Australia | 2.6 | -28.7208 | 124.4042 |
300001666 | Waigen | Australia | 3.1 | -28.7958 | 120.8625 |
300001669 | Blanche | Australia | 7.9 | -29.2375 | 139.6542 |
300001672 | Raeside | Australia | 3.8 | -29.4375 | 121.9625 |
300001674 | Yarra Yarra | Australia | 4.3 | -29.7208 | 115.8125 |
300001676 | Rebecca | Australia | 3.3 | -29.8375 | 122.1292 |
300001681 | Lefroy | Australia | 6.6 | -31.2292 | 121.7458 |
300001694 | lake Hume | Australia | 2.1 | -36.1792 | 147.0625 |
300001695 | lake Eucumbene | Australia | 2.3 | -36.0958 | 148.7264 |
300001701 | lake Pedder | Australia | 2.3 | -42.9236 | 146.2625 |
300001704 | lake Hawea | New Zealand | 2.9 | -44.5486 | 169.2764 |
300001720 | Zzzz | Greenland | 1.5 | 81.7681 | -47.5375 |
300001737 | Zzzz | Canada | 1.5 | 80.9458 | -75.9875 |
300001744 | NN Glacial Lake | Greenland | 1.7 | 79.5931 | -22.5403 |
300001784 | Zzzz | Canada | 1.8 | 73.0458 | -118.2792 |
300001879 | Zzzz | Canada | 2.5 | 71.5625 | -108.7181 |
300001887 | Zzzz | Canada | 2.8 | 71.4819 | -113.9486 |
300001905 | Zzzz | Canada | 1.9 | 71.2042 | -116.6042 |
300001914 | Zzzz | Canada | 1.6 | 71.0958 | -79.8958 |
300001940 | Sungovoak | United States | 1.9 | 71.0542 | -156.4875 |
300001994 | Zzzz | Canada | 1.9 | 70.7764 | -117.4181 |
300002057 | Zzzz | Canada | 1.9 | 70.1986 | -105.4292 |
300002066 | Zzzz | Canada | 2 | 70.1208 | -109.6708 |
300002119 | Hansteen lake | Canada | 1.9 | 69.7903 | -94.1208 |
300002123 | Zzzz | Canada | 2.1 | 69.7792 | -105.1792 |
300002129 | Jamesee lake | Canada | 2.6 | 69.7181 | -103.8736 |
300002163 | Middle lake | Canada | 2.2 | 69.6014 | -93.4208 |
300002166 | Banning lake | Canada | 2.2 | 69.5875 | -110.1653 |
300002202 | Tasseriuk | Canada | 1.9 | 69.3875 | -124.6542 |
300002212 | Qikiqtaqtuuq | Canada | 2.1 | 69.2625 | -93.4042 |
300002317 | Zzzz | Canada | 1.6 | 68.6875 | -125.5708 |
300002332 | Zzzz | Canada | 1.6 | 68.6958 | -111.4208 |
300002480 | Zzzz | Canada | 1.9 | 67.8458 | -131.4292 |
300002493 | Giesecke So | Greenland | 1.6 | 67.7792 | -53.1792 |
300002545 | Nassuttuutaata tasia | Greenland | 1.4 | 67.6069 | -52.4292 |
300002559 | Zzzz | Canada | 3.4 | 67.3958 | -102.7097 |
300002685 | NN Glacial Lake | Greenland | 1.2 | 66.9986 | -51.8875 |
300002718 | Manuel lake | Canada | 1.6 | 66.9042 | -128.8375 |
300002811 | Zzzz | Canada | 1.5 | 66.5292 | -113.7514 |
300002816 | Takijuakataluk lake | Canada | 1.9 | 66.6486 | -113.5514 |
300002857 | Joe lake | Canada | 1.5 | 66.2514 | -98.5181 |
300002883 | Bathurst lake | Canada | 2.4 | 66.3042 | -107.2625 |
300002892 | NN Glacial Lake | Greenland | 1.9 | 66.2819 | -49.8597 |
300002896 | Zzzz | Canada | 2.6 | 66.2458 | -93.8042 |
300002919 | Laughland lake | Canada | 2.1 | 66.1208 | -92.7458 |
300002949 | Tatui | Canada | 2.4 | 65.9625 | -123.0542 |
300002970 | Turton | Canada | 1.5 | 65.8458 | -126.9792 |
300003024 | Zzzz | Canada | 3.5 | 65.6764 | -71.9403 |
300003035 | Yen | Canada | 1.7 | 65.5625 | -118.6125 |
300003095 | Qaamasoq | Greenland | 1.9 | 65.3875 | -50.7958 |
300003191 | Zebulon lake | Canada | 2 | 65.0681 | -117.7931 |
300003205 | Zzzz | Canada | 1.5 | 65.0208 | -111.8014 |
300003237 | Thistle | Canada | 2.2 | 64.9458 | -108.6542 |
300003251 | Zzzz | Canada | 1.5 | 64.9208 | -116.5292 |
300003271 | Little Crapeau | Canada | 1.6 | 64.8292 | -116.4792 |
300003273 | Big lake | Canada | 2.6 | 64.8347 | -112.9514 |
300003350 | Rebesca lake | Canada | 1.6 | 64.5403 | -116.3153 |
300003365 | Zzzz | Canada | 2.1 | 64.5014 | -108.1514 |
300003430 | Judge Sissons lake | Canada | 2.4 | 64.3236 | -97.5597 |
300003589 | Reindeer | Canada | 1.5 | 63.8875 | -113.6042 |
300003602 | Bissett lake | Canada | 3.3 | 63.7708 | -95.3486 |
300003605 | Kirk lake | Canada | 1.7 | 63.6986 | -109.1181 |
300003606 | Sarah lake | Canada | 2.2 | 63.7931 | -117.1736 |
300003634 | Zzzz | Canada | 2.1 | 63.7375 | -100.8986 |
300003640 | Zzzz | Canada | 1.9 | 63.6875 | -98.0625 |
300003644 | Munn lake | Canada | 1.7 | 63.6681 | -109.9542 |
300003701 | Gibson lake | Canada | 1.7 | 63.4458 | -93.1431 |
300003732 | Parker lake | Canada | 2.5 | 63.5764 | -95.3431 |
300003763 | lac Tete d'Ours | Canada | 2.8 | 63.3625 | -110.5708 |
300003809 | Zzzz | Canada | 3.1 | 63.1375 | -98.4625 |
300003811 | Williams | Canada | 1.8 | 63.1208 | -106.2042 |
300003835 | Greasy lake | Canada | 2.3 | 62.8903 | -122.2264 |
300003841 | Weyburn | Canada | 2 | 62.9875 | -117.9042 |
300003861 | Zzzz | Canada | 1.8 | 62.9514 | -96.4625 |
300003890 | Duncan lake | Canada | 2.2 | 62.9125 | -113.9347 |
300003911 | Zzzz | Canada | 1.6 | 62.7986 | -100.6208 |
300003949 | lac Levis | Canada | 2.5 | 62.6514 | -117.9792 |
300003969 | Knagaarsuup Tasersua | Greenland | 1.9 | 62.5153 | -49.6125 |
300003970 | Zzzz | Canada | 1.8 | 62.5125 | -100.6764 |
300004013 | Hornell lake | Canada | 2 | 62.3347 | -119.3819 |
300004030 | Oman lake | Canada | 1.7 | 62.2958 | -103.2847 |
300004095 | McDonald lake | Canada | 2.2 | 62.1653 | -111.1208 |
300004104 | Carr lake | Canada | 2.9 | 62.0931 | -95.7403 |
300004109 | Cli | Canada | 2.4 | 61.9708 | -123.3292 |
300004112 | Imikula lake | Canada | 3.9 | 62.0069 | -97.6681 |
300004144 | Penylan lake | Canada | 2.6 | 61.8458 | -106.3069 |
300004151 | Sibbeston | Canada | 1.5 | 61.7292 | -122.7708 |
300004287 | Beluga | United States | 2.4 | 61.4042 | -151.6208 |
300004337 | Mallet lake | Canada | 2 | 61.2208 | -102.2931 |
300004357 | Quiet lake | Canada | 1.8 | 61.0375 | -133.0625 |
300004396 | Ray lake | Canada | 1.9 | 61.0375 | -96.2792 |
300004419 | Puk Palik | United States | 3 | 61.0375 | -163.2708 |
300004433 | Cormack | Canada | 2.6 | 60.9375 | -121.6208 |
300004437 | Telaquana | United States | 1.9 | 60.9458 | -153.8958 |
300004477 | Fitzpatrick | Canada | 2.1 | 60.8375 | -98.6375 |
300004528 | Thuchonilini lake | Canada | 2.1 | 60.6931 | -96.5153 |
300004530 | Wolf lake | Canada | 2.2 | 60.5903 | -131.6625 |
300004580 | Zzzz | United States | 1.6 | 60.4958 | -164.1625 |
300004634 | Upnuk | United States | 2.3 | 60.3625 | -158.8625 |
300004655 | lac Duquet | Canada | 2.5 | 60.3653 | -75.3181 |
300004657 | Pilot | Canada | 3.2 | 60.2875 | -111.0042 |
300004666 | Poorfish lake | Canada | 1.5 | 60.2819 | -100.7986 |
300004769 | Zzzz | United States | 2 | 59.9542 | -163.2875 |
300004781 | Gladys lake | Canada | 1.7 | 59.8708 | -132.8653 |
300004787 | Maxhamish | Canada | 3.3 | 59.8708 | -123.3042 |
300004793 | Andrew | Canada | 1.7 | 59.9292 | -110.0875 |
300004816 | Kulik | United States | 1.5 | 59.8042 | -158.8208 |
300004882 | lake Beverley | United States | 2.4 | 59.6736 | -158.7736 |
300004897 | Beaverlodge Martin Nero Lakes | Canada | 1.6 | 59.4875 | -108.5958 |
300004906 | Milton | Canada | 2.2 | 59.5042 | -103.8792 |
300004974 | lake Aleknagik | United States | 1.9 | 59.3708 | -158.9014 |
300004989 | Richard lake | Canada | 2.5 | 59.1431 | -107.2236 |
300005063 | Wentzel | Canada | 2.1 | 59.0125 | -114.4708 |
300005072 | Burnie | Canada | 1.6 | 58.8958 | -100.4042 |
300005104 | Nicklin | Canada | 1.6 | 58.8792 | -99.7292 |
300005171 | lac Ballantyne | Canada | 1.6 | 58.6236 | -69.2208 |
300005213 | Quinn | Canada | 1.8 | 58.5542 | -97.2208 |
300005316 | Kakiattuq | Canada | 1.8 | 58.0375 | -75.1625 |
300005323 | Big Flat | Canada | 2 | 57.9958 | -100.2958 |
300005336 | Engemann | Canada | 2 | 57.9208 | -106.9292 |
300005345 | Mayson | Canada | 1.9 | 57.9208 | -107.1625 |
300005354 | Etawney lake | Canada | 2.6 | 57.8236 | -96.8264 |
300005364 | Close | Canada | 1.6 | 57.8708 | -104.9708 |
300005435 | lac Qullinaaraaluk | Canada | 1.5 | 57.5542 | -74.7542 |
300005460 | Namur | Canada | 1.8 | 57.4458 | -112.6375 |
300005648 | Eden lake | Canada | 2.1 | 56.6431 | -100.2458 |
300005677 | Limestone lake | Canada | 1.9 | 56.5736 | -96.0069 |
300005808 | Harding lake | Canada | 1.7 | 56.2069 | -98.4125 |
300005829 | Suwannee | Canada | 2.3 | 56.1375 | -100.1875 |
300005839 | Orr lake | Canada | 2.8 | 56.1014 | -97.2097 |
300005860 | Jones Bay | Canada | 1.5 | 55.9208 | -107.6792 |
300005889 | South Wabasca lake | Canada | 2.7 | 55.9097 | -113.7847 |
300005890 | Sango Brook | Canada | 1.9 | 55.9042 | -61.4458 |
300005962 | McIntosh lake | Canada | 1.5 | 55.7875 | -105.1403 |
300005999 | Whitefish lake | Canada | 3.2 | 55.5681 | -93.2264 |
300006003 | High Hill | Canada | 1.5 | 55.5708 | -95.6458 |
300006025 | Silsby lake | Canada | 2.2 | 55.4708 | -95.8375 |
300006033 | Bar | Canada | 1.5 | 55.4458 | -106.4625 |
300006162 | Sturgeon | Canada | 2.9 | 55.1042 | -117.5208 |
300006171 | Red Cross lake | Canada | 1.6 | 55.0875 | -92.8292 |
300006275 | Carp lake | Canada | 1.8 | 54.7792 | -123.3708 |
300006289 | Juillet | Canada | 1.5 | 54.7708 | -64.1375 |
300006293 | Tezzeron lake | Canada | 2.1 | 54.6847 | -124.3931 |
300006351 | Ney | Canada | 1.6 | 54.6292 | -92.3875 |
300006356 | Pinchi lake | Canada | 1.7 | 54.5847 | -124.3514 |
300006407 | Echoing lake | Canada | 3.1 | 54.5208 | -92.2431 |
300006409 | Touchwood lake and Vermilyea lake | Canada | 2.1 | 54.4819 | -94.9486 |
300006490 | Balsam Brook | Canada | 2.5 | 54.3708 | -102.5458 |
300006495 | Moshikopaw | Canada | 3.3 | 54.3625 | -87.5375 |
300006498 | lac Craven | Canada | 1.5 | 54.3375 | -76.9292 |
300006537 | lac Wawa | Canada | 1.8 | 54.2847 | -76.8347 |
300006579 | Morice lake | Canada | 1.8 | 54.0042 | -127.6153 |
300006584 | Fraser lake | Canada | 1.6 | 54.0931 | -124.6958 |
300006645 | Opinnagau lake | Canada | 2.1 | 53.9236 | -84.4542 |
300006671 | Sims lake | Canada | 1.5 | 54.0514 | -65.9264 |
300006797 | Brightsand | Canada | 2.7 | 53.5875 | -108.8792 |
300006864 | lac Duncan | Canada | 2.2 | 53.4792 | -77.9708 |
300007084 | Weaver lake | Canada | 2.1 | 52.7542 | -96.5792 |
300007173 | North Spirit lake | Canada | 1.6 | 52.5181 | -92.8847 |
300007237 | Sylvan | Canada | 1.8 | 52.3708 | -114.1958 |
300007318 | Sullivan | Canada | 1.9 | 52.0125 | -111.9958 |
300007351 | Canim lake | Canada | 1.9 | 51.8569 | -120.7208 |
300007453 | Good Spirit | Canada | 2.4 | 51.5542 | -102.6708 |
300007494 | Fawcett lake | Canada | 2.1 | 51.4181 | -91.8653 |
300007563 | Little Vermillion lake | Canada | 1.5 | 51.3264 | -93.8236 |
300007603 | Ten Mile lake | Canada | 1.7 | 51.1458 | -56.6097 |
300007621 | Kagianagami lake | Canada | 1.7 | 50.9458 | -87.8347 |
300007638 | Du Tast | Canada | 1.8 | 50.9958 | -77.3875 |
300007706 | Goyelle | Canada | 1.6 | 50.7625 | -60.7458 |
300007718 | Lac Berte | Canada | 1.7 | 50.7819 | -68.4986 |
300007748 | Onistagane | Canada | 1.7 | 50.7208 | -71.3292 |
300007752 | Ara lake and Meta lake | Canada | 1.7 | 50.5375 | -87.5069 |
300007773 | North Shoal | Canada | 2 | 50.4708 | -97.6458 |
300007891 | Portland Creek Pond | Canada | 1.7 | 50.1875 | -57.5292 |
300007930 | Big Vermillion lake | Canada | 1.7 | 50.0208 | -92.2958 |
300007960 | lac Grasset | Canada | 3.9 | 49.9431 | -78.1597 |
300008088 | Nagagami lake | Canada | 2.5 | 49.4069 | -85.0125 |
300008096 | lac Pusticamica | Canada | 1.6 | 49.3597 | -76.3625 |
300008127 | Black Sturgeon | Canada | 2 | 49.3125 | -88.8375 |
300008201 | Hinds | Canada | 2.3 | 48.9708 | -56.9875 |
300008202 | Quevillon | Canada | 1.9 | 49.0792 | -76.9708 |
300008212 | Deer lake | Canada | 1.9 | 49.1208 | -57.5458 |
300008244 | Cowichan lake | Canada | 1.7 | 48.8903 | -124.3208 |
300008270 | Frederick House | Canada | 1.8 | 48.6458 | -80.9208 |
300008294 | Duparquet | Canada | 1.5 | 48.4875 | -79.2625 |
300008306 | Priest lake | United States | 1.9 | 48.5875 | -116.8708 |
300008339 | Hungry Horse reservoir | United States | 1.5 | 48.2681 | -113.8486 |
300008341 | Great Burnt Crooked Lakes | Canada | 2.4 | 48.3375 | -56.2125 |
300008388 | Round Pond | Canada | 2.1 | 48.1875 | -56.0125 |
300008393 | Granite | Canada | 1.7 | 48.1792 | -56.9708 |
300008408 | lac Gueguen | Canada | 1.6 | 48.1097 | -77.2264 |
300008411 | Pelican | United States | 2.2 | 48.0625 | -92.8958 |
300008481 | Manouane | Canada | 1.9 | 47.5625 | -74.1125 |
300008633 | Long | United States | 1.5 | 46.7292 | -100.0958 |
300008638 | Lida Crystal Lizzie Lakes | United States | 1.8 | 46.5792 | -95.9792 |
300008645 | lake Gogebic | United States | 1.9 | 46.4736 | -89.5542 |
300008713 | lake Ainslie | Canada | 2.8 | 46.1375 | -61.1903 |
300008718 | Chamberlain | United States | 1.5 | 46.2208 | -69.3042 |
300008770 | lake Kagawong | Canada | 2.6 | 45.8181 | -82.2931 |
300008783 | Traverse | United States | 1.5 | 45.7042 | -96.7375 |
300008804 | Grand lake | United States;Canada | 2.1 | 45.7042 | -67.8125 |
300008819 | Mullet lake | United States | 2.9 | 45.5292 | -84.5042 |
300008848 | lake Charlevoix | United States | 1.9 | 45.2625 | -85.0958 |
300008924 | Hebgen lake | United States | 1.9 | 44.7847 | -111.2514 |
300009100 | Koshkonong | United States | 2.1 | 42.8875 | -88.9375 |
300009124 | Quabbin reservoir | United States | 1.8 | 42.3597 | -72.3014 |
300009129 | Chautauqua | United States | 1.5 | 42.2208 | -79.4542 |
300009151 | Pymatuning reservoir | United States | 1.6 | 41.6569 | -80.4875 |
300009172 | Trinity lake | United States | 1.5 | 40.9764 | -122.6736 |
300009182 | Grand | United States | 2 | 40.5292 | -84.4958 |
300009243 | lake Berryessa/Monticello | United States | 2.2 | 38.6292 | -122.2625 |
300009360 | Mohave | United States | 2.8 | 35.4375 | -114.6514 |
300009411 | Hugo | United States | 1.8 | 34.0542 | -95.4125 |
300009430 | Ray Roberts | United States | 1.9 | 33.3792 | -97.0792 |
300009432 | Jim Chapman | United States | 2.5 | 33.3208 | -95.6625 |
300009443 | Lewisville lake | United States | 2.5 | 33.1097 | -96.9625 |
300009460 | lake Ray Hubbard | United States | 2 | 32.8486 | -96.5236 |
300009484 | lake Palestine | United States | 1.7 | 32.1792 | -95.4819 |
300009523 | lake Conroe | United States | 1.6 | 30.4125 | -95.5958 |
300009528 | Somerville | United States | 1.6 | 30.3208 | -96.5542 |
300009630 | Zzzz | Mexico | 2.2 | 27.4708 | -114.0208 |
300009636 | lake Istokpoga | United States | 2.8 | 27.4069 | -81.2792 |
300009639 | Adolfo Ruiz Cortines | Mexico | 1.6 | 27.2431 | -109.0903 |
300009690 | Alacranes | Cuba | 2.2 | 22.7292 | -80.1708 |
300009691 | Las Animas | Mexico | 3.1 | 22.6208 | -98.7208 |
300009692 | La Tortuga | Mexico | 2.2 | 22.3375 | -98.1292 |
300009704 | El Chumbeno | Mexico | 2.2 | 22.2042 | -105.3542 |
300009713 | embalse Zaza | Cuba | 2.2 | 21.8236 | -79.3764 |
300009733 | Solis | Mexico | 1.5 | 20.0569 | -100.6347 |
300009739 | Patzcuaro | Mexico | 2.5 | 19.6597 | -101.5986 |
300009761 | laguna San Francisco | Mexico | 2.1 | 18.4014 | -91.7792 |
300009784 | Penitas | Mexico | 1.5 | 17.4375 | -93.4458 |
300009785 | Northern Lagoon | Belize | 2.2 | 17.3625 | -88.3292 |
300009791 | laguna de Tres Palos | Mexico | 2.8 | 16.7903 | -99.7375 |
300009799 | Laguna Pampa la Joya | Mexico | 1.8 | 15.9542 | -93.6958 |
300009807 | Laguna Kohunta | Honduras | 2.7 | 15.1875 | -83.5875 |
300009809 | lago de Yojoa | Honduras | 2.7 | 14.8819 | -87.9764 |
300009815 | laguna Pahara | Nicaragua | 3.4 | 14.2792 | -83.2986 |
300009850 | laguna de Arenal | Costa Rica | 2.2 | 10.5153 | -84.8931 |
300009854 | Capote | Colombia | 2.8 | 10.3375 | -75.1125 |
300009988 | Piraruaca | Brazil | 1.7 | -2.0208 | -56.3542 |
300009989 | Camapu | Brazil | 4 | -2.1208 | -53.8375 |
300010100 | Sampaio | Brazil | 2.1 | -3.8542 | -59.1708 |
300010187 | Las Habras | Bolivia Plurinational State of | 4.2 | -12.7542 | -65.1042 |
300010196 | La Porfia | Bolivia Plurinational State of | 2.6 | -13.1292 | -65.8208 |
300010214 | Mamornadas | Bolivia Plurinational State of | 2.7 | -13.7958 | -66.7875 |
300010231 | Huachi | Bolivia Plurinational State of | 1.5 | -14.3375 | -63.4125 |
300010233 | laguna Langui | Peru | 2.2 | -14.4819 | -71.2181 |
300010243 | Manso | Brazil | 2.5 | -14.8375 | -55.6792 |
300010247 | Los Anteojos | Bolivia Plurinational State of | 3.3 | -15.4042 | -64.6625 |
300010261 | Lagunillas | Peru | 2.4 | -15.7125 | -70.7625 |
300010266 | San Jorge lake | Bolivia Plurinational State of | 3 | -15.8264 | -63.8653 |
300010271 | Nuevo Mundo | Bolivia Plurinational State of | 3.2 | -15.8208 | -64.2708 |
300010299 | Concepcion | Bolivia Plurinational State of | 2.6 | -17.5042 | -61.3792 |
300010368 | lago Ypacarai | Paraguay | 2.6 | -25.3014 | -57.3431 |
300010381 | lago Vera | Paraguay | 1.7 | -26.1486 | -57.4625 |
300010423 | lagoa do Sombrio | Brazil | 1.6 | -29.1625 | -49.6931 |
300010435 | Zzzz | Argentina | 3.4 | -29.6958 | -62.2708 |
300010436 | lagoa Pinguela | Brazil | 2 | -29.8181 | -50.2153 |
300010470 | embalse rio Tercero | Argentina | 1.9 | -32.2125 | -64.4819 |
300010533 | laguna del Maule | Chile | 2.5 | -36.0625 | -70.4958 |
300010537 | Alsina | Argentina | 2.2 | -36.8375 | -62.0292 |
300010539 | Cochico | Argentina | 2.2 | -36.9208 | -62.3125 |
300010540 | Venado | Argentina | 3.3 | -37.0208 | -62.6708 |
300010554 | Zzzz | Argentina | 2.1 | -38.2875 | -63.7292 |
300010560 | Chasico | Argentina | 3.1 | -38.6208 | -63.0792 |
300010563 | Salinas Grandes | Argentina | 3.1 | -38.7542 | -62.9458 |
300010567 | lago Alumine | Argentina | 2.4 | -38.9236 | -71.1153 |
300010573 | Caburgua | Chile | 1.7 | -39.1708 | -71.7875 |
300010577 | lago Rinihue | Chile | 2.2 | -39.8097 | -72.3903 |
300010583 | lago Maihue | Chile | 2 | -40.2764 | -72.0264 |
300010590 | Alicura | Argentina | 2.1 | -40.5958 | -70.8375 |
300010593 | lago Trafull | Argentina | 1.7 | -40.6125 | -71.4847 |
300010599 | Chapo | Chile | 1.7 | -41.4292 | -72.5292 |
300010602 | lago Puelo | Argentina | 1.5 | -42.1153 | -71.6375 |
300010609 | lago Menendez | Argentina | 1.6 | -42.6847 | -71.8264 |
300010614 | Amutui Quimey | Argentina | 1.7 | -43.0708 | -71.6958 |
300010626 | lago Fontana | Argentina | 2.4 | -44.9347 | -71.4875 |
300010628 | lago Yulton | Chile | 2.4 | -45.1181 | -72.9319 |
300010652 | Nansen | Argentina | 1.5 | -47.9625 | -72.3542 |
300010656 | Quiroga | Argentina | 2.6 | -48.4125 | -71.5542 |
300010690 | Yehuin | Argentina | 1.7 | -54.3875 | -67.7792 |
300010732 | Silyuyeturku | Russian Federation | 2.2 | 74.4375 | 104.4542 |
300010750 | ozero Ayaturku | Russian Federation | 2.4 | 73.8264 | 92.0264 |
300010784 | ozero Syruto | Russian Federation | 2.4 | 72.9625 | 88.8125 |
300010787 | Khelaliturku | Russian Federation | 2.8 | 72.8625 | 89.1208 |
300010794 | ozero Nyagame | Russian Federation | 2.2 | 72.7431 | 88.3542 |
300010835 | Gusinoye | Russian Federation | 1.8 | 72.0042 | 52.0958 |
300010851 | Purinskoye 1-Ye | Russian Federation | 2 | 71.7708 | 88.5792 |
300010866 | Dolgoye | Russian Federation | 2.2 | 71.5125 | 149.4542 |
300010885 | Bolshoye | Russian Federation | 3.1 | 71.4625 | 149.6042 |
300010918 | Kyrbyt | Russian Federation | 2.6 | 71.2208 | 147.4875 |
300010974 | Symytyr | Russian Federation | 2.4 | 71.0208 | 146.3125 |
300010982 | Bytynay | Russian Federation | 2.9 | 70.9625 | 147.5292 |
300010987 | Bakul | Russian Federation | 2.5 | 70.9375 | 147.7875 |
300011006 | Laydy-Kyuyel Yaryppyt Lakes | Russian Federation | 1.8 | 70.7875 | 137.5375 |
300011025 | Ukyulyakh | Russian Federation | 2.5 | 70.6792 | 137.8292 |
300011033 | Kaluken | Russian Federation | 1.8 | 70.6458 | 150.7042 |
300011082 | Nuchcha | Russian Federation | 3 | 70.3292 | 146.3542 |
300011089 | ozero Polovinnoye | Russian Federation | 3.7 | 70.2014 | 87.6819 |
300011120 | Ngevak-Yasaveyto | Russian Federation | 3 | 69.8292 | 70.1042 |
300011134 | Yandeto | Russian Federation | 3.4 | 69.7292 | 71.3542 |
300011151 | Iesjavri | Norway | 2.5 | 69.6708 | 24.1986 |
300011169 | ozero Bolshoy Oler | Russian Federation | 3.3 | 69.4597 | 156.0819 |
300011184 | Malyy Oler | Russian Federation | 3 | 69.4458 | 156.5125 |
300011226 | Ulakhan-Kelyuyekyan | Russian Federation | 3 | 69.1375 | 152.8292 |
300011233 | Zzzz | Russian Federation | 1.6 | 69.1125 | 159.0542 |
300011237 | ozero Sokhonto | Russian Federation | 3.4 | 69.1569 | 70.1292 |
300011279 | Baut | Russian Federation | 1.8 | 68.9792 | 159.4125 |
300011357 | Unestakh | Russian Federation | 2.7 | 68.6708 | 154.9042 |
300011367 | Lymbanato | Russian Federation | 1.5 | 68.6125 | 52.8625 |
300011374 | Arga-Ebe | Russian Federation | 3 | 68.5708 | 154.5958 |
300011444 | ozero Kalgyn | Russian Federation | 3.5 | 68.3069 | 149.6736 |
300011445 | Tetato | Russian Federation | 3.6 | 68.2875 | 71.0958 |
300011605 | Layato | Russian Federation | 1.5 | 67.5542 | 56.0958 |
300011620 | Ebe | Russian Federation | 3.1 | 67.4708 | 151.6625 |
300011642 | ozero Urdyuzhskoye | Russian Federation | 3.1 | 67.2264 | 50.1514 |
300011663 | Tjaktjajaure | Sweden | 1.9 | 67.0542 | 18.4875 |
300011666 | ozero Kanozero | Russian Federation | 2.3 | 67.0458 | 34.1236 |
300011704 | Karatj | Sweden | 1.5 | 66.6625 | 18.7653 |
300011707 | Nalimye | Russian Federation | 2.8 | 66.6042 | 85.3292 |
300011716 | Miekojarvi | Finland | 1.5 | 66.5681 | 24.3931 |
300011781 | Varchaty | Russian Federation | 2.9 | 66.1125 | 64.0125 |
300011784 | Zzzz | Russian Federation | 2.2 | 66.0958 | 66.5625 |
300011804 | Varsh | Russian Federation | 1.6 | 66.0708 | 47.9208 |
300011810 | Vyzhletskoye | Russian Federation | 1.5 | 65.9708 | 46.2292 |
300011834 | Kostonjarvi | Finland | 2.2 | 65.7958 | 28.4458 |
300011866 | ozero Oneko | Russian Federation | 2 | 65.4847 | 91.2069 |
300011878 | Zzzz | Russian Federation | 1.5 | 65.4208 | 65.8208 |
300011902 | Blondulon | Iceland | 1.5 | 65.1708 | -19.6708 |
300011916 | Kem River | Russian Federation | 1.5 | 65.0375 | 33.4708 |
300011976 | Kvarnbergsvattnet | Sweden;Norway | 1.8 | 64.5736 | 13.9625 |
300011991 | Shuyezero | Russian Federation | 2 | 64.4292 | 34.0375 |
300012019 | Zzzz | Finland | 2.7 | 64.1653 | 28.0958 |
300012021 | Nizhnevygskoye reservoir | Russian Federation | 1.9 | 64.1569 | 34.3125 |
300012023 | Zzzz | Finland | 2.1 | 64.2319 | 29.5681 |
300012051 | Javsjon | Sweden;Norway | 1.6 | 64.0708 | 13.0458 |
300012060 | ozero Sumozero | Russian Federation | 2.5 | 63.9708 | 35.1597 |
300012093 | Pulozero | Russian Federation | 1.7 | 63.7625 | 35.4542 |
300012120 | Stor-Rensjon | Sweden | 2.4 | 63.6292 | 12.5792 |
300012150 | ozero Maslozero | Russian Federation | 3 | 63.4875 | 32.9819 |
300012163 | Alvajarvi | Finland | 1.6 | 63.4042 | 25.4292 |
300012213 | Nesjoen | Norway | 1.8 | 62.9819 | 12.0097 |
300012234 | Verkhneye Volozero | Russian Federation | 1.9 | 62.8375 | 35.3542 |
300012266 | Pyhajarvi | Finland | 1.5 | 62.7236 | 25.4681 |
300012284 | ozero Lizhmozero | Russian Federation | 2.1 | 62.6514 | 34.0542 |
300012287 | Labyngkyr | Russian Federation | 1.7 | 62.4542 | 143.6292 |
300012300 | Parenskoye | Russian Federation | 2 | 62.5542 | 162.3625 |
300012316 | Holmsjon | Sweden | 1.5 | 62.4125 | 15.3458 |
300012336 | Sundozero | Russian Federation | 2.3 | 62.3958 | 33.8125 |
300012341 | Pyalozero | Russian Federation | 1.5 | 62.3042 | 33.7208 |
300012361 | Lum | Russian Federation | 1.5 | 62.2375 | 43.3625 |
300012394 | ozero Kenozero | Russian Federation | 1.8 | 62.0653 | 38.2208 |
300012406 | Nantlor | Russian Federation | 2.7 | 62.0792 | 72.9125 |
300012424 | Kangasjarvi | Finland | 1.6 | 62.0042 | 27.3792 |
300012455 | Hornindalsvatn | Norway | 1.5 | 61.9542 | 6.4125 |
300012472 | ozero Shotozero | Russian Federation | 3.3 | 61.7875 | 32.9875 |
300012482 | Sodra Dellen | Sweden | 2.2 | 61.8042 | 16.7292 |
300012491 | ozero Lekshmozero | Russian Federation | 2.9 | 61.7347 | 38.0764 |
300012507 | ozero Vedlozero | Russian Federation | 2 | 61.5458 | 32.7486 |
300012591 | ozero Samotlor | Russian Federation | 2.1 | 61.1042 | 76.7375 |
300012614 | Pyhajarvi | Finland | 1.7 | 61.0181 | 26.4847 |
300012628 | Urajarvi | Finland | 1.5 | 60.9208 | 26.4292 |
300012639 | Karpautur | Russian Federation | 2.5 | 60.8542 | 65.2208 |
300012654 | ozero Otradnoye | Russian Federation | 2.3 | 60.8014 | 30.1847 |
300012749 | Bolshoy Kumikush | Russian Federation | 1.5 | 60.3292 | 55.2625 |
300012760 | Enetor | Russian Federation | 2.6 | 60.2125 | 68.3708 |
300012813 | Mosvatn | Norway | 1.5 | 59.8764 | 8.0292 |
300012874 | Ozero Tungar | Russian Federation | 2.4 | 59.4375 | 143.9208 |
300012879 | Jarnsjon | Sweden | 1.6 | 59.3458 | 12.2292 |
300012886 | Temryak | Russian Federation | 2.4 | 59.3542 | 67.0292 |
300012946 | Chukhloma | Russian Federation | 3.4 | 58.7792 | 42.6125 |
300012969 | ozero Galichskoye | Russian Federation | 2.5 | 58.4208 | 42.3681 |
300013003 | Mjorn | Sweden | 1.7 | 57.9097 | 12.4486 |
300013032 | Seremo | Russian Federation | 1.8 | 57.4458 | 33.3708 |
300013035 | Aluksne | Latvia | 1.8 | 57.4542 | 27.0875 |
300013043 | Rusken | Sweden | 1.4 | 57.2875 | 14.3458 |
300013070 | Vidoestern | Sweden | 1.1 | 57.0125 | 13.9792 |
300013091 | Pleshcheyevo | Russian Federation | 3.2 | 56.7625 | 38.7875 |
300013104 | Moeckeln | Sweden | 1.2 | 56.6597 | 14.2097 |
300013112 | Cirma | Latvia | 1.5 | 56.5625 | 27.6042 |
300013120 | Mien | Sweden | 2 | 56.4208 | 14.8625 |
300013141 | ozero Azhabachye | Russian Federation | 3.4 | 56.1458 | 161.7986 |
300013149 | Necheritsa | Russian Federation | 1.5 | 56.1292 | 28.4375 |
300013156 | Ivoesjoen | Sweden | 1.8 | 56.0708 | 14.4042 |
300013159 | Osveya | Belarus | 2.6 | 56.0458 | 28.1792 |
300013161 | ozero Dvinye | Russian Federation | 1.9 | 56.0653 | 31.2708 |
300013166 | Sivers | Latvia | 1.5 | 56.0208 | 27.3292 |
300013175 | Hammarsjon | Sweden | 1.9 | 55.9792 | 14.2208 |
300013176 | Bolshiye Kasli | Russian Federation | 2 | 55.9208 | 60.7958 |
300013178 | Vastra Ringsjon | Sweden | 1.5 | 55.8958 | 13.4625 |
300013182 | Oestra Ringsjoen | Sweden | 2 | 55.8625 | 13.5542 |
300013184 | Rekyva | Lithuania | 1.6 | 55.8708 | 23.3042 |
300013186 | Yauzskoye Vdkhr | Russian Federation | 2.2 | 55.8875 | 35.0542 |
300013193 | Sennitsa | Belarus;Russian Federation | 1.6 | 55.8292 | 30.3875 |
300013196 | Uyelgi | Russian Federation | 2.9 | 55.7625 | 61.5458 |
300013214 | Metlinskiy Prud | Russian Federation | 1.7 | 55.6625 | 61.0542 |
300013241 | Tisso | Denmark | 1.6 | 55.5792 | 11.2875 |
300013242 | Beloye | Russian Federation | 2.4 | 55.5625 | 89.5792 |
300013258 | Siverga | Kazakhstan;Russian Federation | 2.4 | 55.4042 | 68.7292 |
300013263 | Losvida | Belarus | 1.5 | 55.3792 | 30.0292 |
300013283 | Medvezhye | Russian Federation | 2.5 | 55.1875 | 67.9708 |
300013306 | Miadziel | Belarus | 1.6 | 54.9375 | 26.8458 |
300013313 | Idgildy | Russian Federation | 2 | 54.9375 | 62.2542 |
300013361 | Kandrykul | Russian Federation | 1.9 | 54.5042 | 54.0625 |
300013383 | Selenter | Germany | 1.7 | 54.3042 | 10.4542 |
300013431 | Kummerower | Germany | 1.8 | 53.8042 | 12.8458 |
300013443 | Lough Sheelin | Ireland | 1.6 | 53.8125 | -7.3125 |
300013454 | Schwerin | Germany | 2.2 | 53.7208 | 11.4625 |
300013471 | Khorosheye | Russian Federation | 1.9 | 53.5292 | 78.5542 |
300013475 | Koelpinsee | Germany | 1.9 | 53.5042 | 12.5792 |
300013516 | Zharkol | Kazakhstan | 2.1 | 53.1958 | 63.2375 |
300013521 | Surskoye | Russian Federation | 1.9 | 53.0125 | 45.3292 |
300013529 | ozero Imantau | Kazakhstan | 2.2 | 53.0319 | 68.2319 |
300013551 | Kotokel' ozero | Russian Federation | 2.4 | 52.7958 | 108.1347 |
300013575 | Zhanshura | Kazakhstan | 3.2 | 52.6875 | 65.8375 |
300013582 | Zhaksy Zhangyztau | Kazakhstan | 2.7 | 52.6208 | 68.1792 |
300013595 | Duemmer | Germany | 1.5 | 52.5208 | 8.3375 |
300013597 | Tobol | Kazakhstan | 2.2 | 52.5125 | 62.2375 |
300013601 | Steinhuder | Germany | 2.2 | 52.4708 | 9.3292 |
300013610 | ozero Azas | Russian Federation | 1.6 | 52.3792 | 96.4625 |
300013635 | Shaksha | Russian Federation | 3 | 52.1625 | 112.7375 |
300013647 | Karasor | Kazakhstan | 3.6 | 51.9458 | 75.7208 |
300013663 | Gorkoye-Peresheyechnoye | Russian Federation | 1.6 | 51.7958 | 80.8708 |
300013668 | Turske | Ukraine | 1.5 | 51.6625 | 24.3042 |
300013676 | Pulemetske | Ukraine | 1.7 | 51.5208 | 23.7375 |
300013705 | Gilovskoye | Russian Federation | 1.9 | 51.1125 | 81.8625 |
300013715 | Zzzz | Kazakhstan | 2 | 50.8875 | 74.0292 |
300013746 | Otmuchow | Poland | 1.7 | 50.4625 | 17.1208 |
300013751 | Isey | Kazakhstan | 3 | 50.4958 | 69.6375 |
300013760 | Kokay | Kazakhstan | 1.6 | 50.4458 | 69.4042 |
300013762 | ozero Khindigtik-Khol' | Russian Federation | 2.4 | 50.3403 | 89.8208 |
300013767 | KhNPP | Ukraine | 1.6 | 50.2958 | 26.5792 |
300013778 | Samarkandskoe | Kazakhstan | 2.2 | 50.0958 | 73.0042 |
300013782 | ozero Tore-Khol' | Mongolia;Russian Federation | 2.5 | 50.0819 | 95.1042 |
300013821 | Lyman | Ukraine | 1.5 | 49.5708 | 36.5125 |
300013919 | Yakhi lake | Mongolia | 3.1 | 48.6431 | 114.4236 |
300013921 | Lipno Dam | Czechia | 1.5 | 48.6875 | 14.0875 |
300013927 | Dnistrovske | Ukraine | 1.5 | 48.6042 | 26.9792 |
300013943 | Ulaagchiin Khar lake | Mongolia | 2.5 | 48.3431 | 96.1847 |
300013962 | Ammersee | Germany | 2.1 | 47.9875 | 11.1292 |
300013966 | Starnberger see | Germany | 2.1 | 47.9014 | 11.3069 |
300013969 | Attersee | Austria | 1.5 | 47.8208 | 13.5292 |
300013992 | Walchensee | Germany | 1.5 | 47.5875 | 11.3458 |
300013995 | Zelenodilske | Ukraine | 1.7 | 47.5375 | 33.6292 |
300014041 | Daqing | China | 2.8 | 46.8125 | 125.1208 |
300014052 | Thunersee | Switzerland | 1.6 | 46.6875 | 7.7208 |
300014063 | Bolshoye Vavayskoye | Russian Federation | 2.5 | 46.6042 | 143.2542 |
300014150 | Boykiyevskiy Liman | Russian Federation | 1.5 | 45.9042 | 37.9625 |
300014153 | Nanyin | China | 3.2 | 45.9125 | 124.4708 |
300014167 | Lac du Bourget | France | 1.5 | 45.7458 | 5.8625 |
300014180 | Solenoye | Russian Federation | 1.5 | 45.6792 | 41.6875 |
300014185 | Iseo | Italy | 1.7 | 45.7375 | 10.0708 |
300014249 | Sengileyevskoye | Russian Federation | 2.2 | 45.0625 | 41.7625 |
300014300 | Kubanskoye | Russian Federation | 2.8 | 44.2292 | 42.2625 |
300014302 | Siutghiol | Romania | 1.7 | 44.2542 | 28.5958 |
300014305 | Oltina | Romania | 2 | 44.1542 | 27.6375 |
300014323 | Koshkar-Ata | Kazakhstan | 2.9 | 43.7708 | 51.2042 |
300014331 | Sorbulaq | Kazakhstan | 2.5 | 43.6625 | 76.5708 |
300014333 | Busko Blato | Bosnia and Herzegovina | 3.1 | 43.6625 | 17.0208 |
300014338 | lake Kussharo | Japan | 2.5 | 43.6514 | 144.3458 |
300014353 | etang de Thau | France | 2.3 | 43.4042 | 3.6181 |
300014354 | Akkol | Kazakhstan | 3.1 | 43.4042 | 70.6958 |
300014357 | Huri Chagannao'er | China | 1.9 | 43.4014 | 114.8903 |
300014360 | Tasytkolskoye Water reservoir | Kazakhstan | 2.2 | 43.3597 | 73.9514 |
300014387 | lake Shikotsu | Japan | 3.2 | 42.7681 | 141.3486 |
300014405 | lake Toya | Japan | 2.2 | 42.6014 | 140.8958 |
300014434 | Batak | Bulgaria | 1.5 | 41.9625 | 24.1792 |
300014478 | Kerkini | Greece | 2.8 | 41.2042 | 23.1375 |
300014495 | Semkir | Azerbaijan | 2.2 | 40.9542 | 46.1042 |
300014499 | Karavasta | Albania | 2.4 | 40.9292 | 19.4958 |
300014510 | Sapanca | Turkey | 2 | 40.7208 | 30.2792 |
300014514 | lake Volvi | Greece | 2.4 | 40.6569 | 23.5486 |
300014556 | Xiaoerkule | China | 2.2 | 40.0958 | 77.3292 |
300014572 | Yonganba | China | 2.2 | 39.7208 | 79.0125 |
300014629 | Hongjian | China | 2.3 | 39.0958 | 109.9042 |
300014651 | Karabulak | Uzbekistan | 3.1 | 38.9208 | 64.6625 |
300014657 | Nazik | Turkey | 2.5 | 38.8625 | 42.2958 |
300014660 | Umar | Turkmenistan | 2.8 | 38.7792 | 64.2542 |
300014663 | Sukuqiake | China | 1.9 | 38.7792 | 77.2458 |
300014682 | Hazar lake | Turkey | 2.7 | 38.5014 | 39.4375 |
300014723 | Laguna Salada de Torrevieja | Spain | 1.7 | 38.0042 | -0.7292 |
300014741 | Salda | Turkey | 3.1 | 37.5542 | 29.6792 |
300014784 | Seyhan Baraji | Turkey | 1.7 | 37.0819 | 35.2903 |
300014787 | Ga Hai lake | China | 3 | 37.0125 | 100.5625 |
300014802 | Koycegiz lake | Turkey | 2.2 | 36.9375 | 28.6819 |
300014804 | Oubeira | Algeria | 2.1 | 36.8458 | 8.3958 |
300014875 | Deyu | China | 2.1 | 35.6958 | 87.2792 |
300014878 | Qinma lake | China | 2.4 | 35.6069 | 90.6625 |
300014882 | Sebkha Of Moknine | Tunisia | 2.7 | 35.5708 | 10.9625 |
300014891 | lake Shinji | Japan | 3.1 | 35.4486 | 132.9514 |
300014900 | Chaoyang | China | 2.1 | 35.2875 | 87.2958 |
300014904 | Doucuo | China | 2.2 | 35.3042 | 99.1792 |
300014930 | Pur | China | 2.4 | 34.8792 | 81.9625 |
300014933 | Tso Tang | China | 1.6 | 34.8958 | 79.3375 |
300014941 | Shilianghe | China | 2.3 | 34.7875 | 118.8292 |
300014943 | Dulishi lake | China | 3.4 | 34.7458 | 81.8958 |
300014944 | Changhu | China | 1.9 | 34.7125 | 89.0292 |
300014948 | Surigh Yilganing | China | 3 | 34.6708 | 79.6958 |
300014950 | barrage Mohamed V | Morocco | 1.5 | 34.6514 | -2.9653 |
300014959 | Orba lake | China | 2.2 | 34.5819 | 81.0347 |
300014966 | Qingche lake | China | 2.8 | 34.4764 | 81.7903 |
300014984 | Laxiong lake | China | 3.4 | 34.3458 | 85.2208 |
300014998 | Tuoheping | China | 2.3 | 34.1875 | 83.1542 |
300015002 | Xuelian-hu | China | 2.6 | 34.0958 | 90.2542 |
300015030 | Cemar | China | 2.9 | 33.5542 | 84.5792 |
300015037 | Chagbo | China | 3.2 | 33.3625 | 84.1958 |
300015058 | Rebang | China | 2 | 33.0292 | 80.6042 |
300015115 | Yaggain | China | 2.7 | 32.3458 | 87.3125 |
300015125 | Naiqam | China | 2.9 | 32.3208 | 88.6958 |
300015130 | Zhaxi | China | 3 | 32.1958 | 85.1208 |
300015151 | Maysan Wetlands | Iraq | 1.6 | 31.9292 | 47.2958 |
300015160 | Gopug lake | China | 2.4 | 31.8514 | 83.1625 |
300015169 | Daru | China | 2.5 | 31.6625 | 90.7375 |
300015175 | Cuona lake | China | 2.4 | 31.6653 | 82.3458 |
300015178 | Gemang lake | China | 2.8 | 31.5847 | 87.2514 |
300015197 | Zigu lake | China | 3.2 | 31.3764 | 87.8764 |
300015217 | Chenghu | China | 2.6 | 31.2208 | 120.8208 |
300015220 | Al Manzalah | Egypt | 1.7 | 31.3125 | 32.0625 |
300015240 | Qoi'nyi lake | China | 2.1 | 31.0347 | 84.5764 |
300015245 | Argog lake | China | 3 | 30.9958 | 82.2292 |
300015248 | Shen | China | 2.3 | 31.0208 | 90.4875 |
300015252 | Maerxia | China | 2.5 | 30.9625 | 87.5375 |
300015257 | Ringco Ogma | China | 3.4 | 30.9292 | 89.8292 |
300015260 | Longkou Yezhu Lakes | China | 1.6 | 30.8792 | 114.0792 |
300015265 | Garen lake | China | 2.7 | 30.7819 | 84.9819 |
300015267 | Dibu lake | China | 3.1 | 30.7958 | 84.8125 |
300015268 | Baidang | China | 1.9 | 30.8042 | 117.3875 |
300015276 | Kunggyu lake | China | 2.6 | 30.6347 | 82.1431 |
300015283 | Zzzz | Iran Islamic Republic of | 3.2 | 30.6208 | 48.1375 |
300015296 | Yoqag | China | 3.9 | 30.4708 | 88.6125 |
300015361 | Ramganga reservoir | India | 1.9 | 29.5569 | 78.7597 |
300015374 | Wadi El Rayan | Egypt | 2.7 | 29.2514 | 30.4792 |
300015376 | Siwa | Egypt | 1.9 | 29.2125 | 25.4542 |
300015380 | Wadi Al Rayan | Egypt | 2.2 | 29.1875 | 30.4042 |
300015405 | Zhegu lake | China | 2.6 | 28.6681 | 91.6764 |
300015419 | Como Chamling | China | 2.8 | 28.4014 | 88.2153 |
300015424 | Duoqing lake | China | 3.5 | 28.1403 | 89.3431 |
300015431 | Lugu | China | 2.4 | 27.7208 | 100.7792 |
300015455 | Chenghai | China | 2.5 | 26.5903 | 100.6653 |
300015502 | Rajghat | India | 3.7 | 24.6708 | 78.2708 |
300015520 | Masanjore | India | 2 | 24.1542 | 87.2875 |
300015523 | Dharoi | India | 3.5 | 24.0208 | 72.9208 |
300015536 | Mahi Bajaj Sagar | India | 1.9 | 23.5458 | 74.5375 |
300015538 | Halali dam | India | 1.9 | 23.4819 | 77.5014 |
300015552 | Barna | India | 2.7 | 23.0792 | 78.0208 |
300015554 | Chandil | India | 1.7 | 23.0042 | 86.0292 |
300015557 | Nalsarovar | India | 2.2 | 22.8042 | 72.0292 |
300015606 | Upper Wardha | India | 2.1 | 21.3125 | 78.0542 |
300015626 | Inle lake | Myanmar | 2.3 | 20.5903 | 96.9069 |
300015630 | Madhuban | India | 1.5 | 20.1958 | 73.0792 |
300015638 | Isapur | India | 1.6 | 19.7375 | 77.3792 |
300015650 | Majalgaon | India | 2.2 | 19.1375 | 76.1542 |
300015655 | Daguang | China | 1.9 | 18.9958 | 108.9875 |
300015657 | Zzzz | Myanmar | 2 | 18.9208 | 95.5958 |
300015672 | Lower Manair | India | 2.1 | 18.3708 | 79.1292 |
300015696 | Nam Um | Thailand | 2 | 17.2375 | 103.7125 |
300015697 | Yeleru | India | 2.2 | 17.3208 | 82.0708 |
300015714 | Jurala | India | 1.5 | 16.3375 | 77.6875 |
300015736 | Supa | India | 2.4 | 15.2625 | 74.5042 |
300015755 | Ho Ya Li | Viet Nam | 1.9 | 14.2625 | 107.8458 |
300015761 | Bhadra reservoir | India | 2.6 | 13.6931 | 75.5847 |
300015778 | Naujan lake | Philippines | 3.4 | 13.1708 | 121.3542 |
300015798 | Zobe | Nigeria | 1.5 | 12.3708 | 7.4792 |
300015805 | Challawa Gorge | Nigeria | 2.5 | 11.6792 | 8.0042 |
300015811 | Bhavanisagar | India | 1.9 | 11.4625 | 77.0875 |
300015812 | Afambo | Ethiopia | 1.5 | 11.4542 | 41.6708 |
300015815 | Abbe | Ethiopia | 1.8 | 11.3708 | 41.5875 |
300015816 | Hayk | Ethiopia | 2 | 11.3458 | 39.7125 |
300015836 | Hawal River | Nigeria | 2.6 | 9.7542 | 12.0208 |
300015839 | Lere | Chad | 2 | 9.6208 | 14.1875 |
300015857 | Kampe Oyi | Nigeria | 1.6 | 8.1958 | 5.6125 |
300015858 | Ikere Gorge | Nigeria | 1.5 | 8.1958 | 3.7542 |
300015873 | Maduru Oya | Sri Lanka | 1.9 | 7.6042 | 81.2042 |
300015875 | Noung Jur | Sudan | 1.9 | 7.4208 | 30.5792 |
300015880 | Senanayake Samudra | Sri Lanka | 2 | 7.2014 | 81.4931 |
300015883 | Melka-Wakena | Ethiopia | 1.7 | 7.1625 | 39.4208 |
300015885 | Sudd | Sudan | 1.8 | 7.0875 | 30.7958 |
300015892 | lake Bosomtwe | Ghana | 3.7 | 6.5069 | -1.4097 |
300015900 | Tasik Pedu | Malaysia | 1.9 | 6.2569 | 100.8181 |
300015901 | lac Togo | Togo | 2.2 | 6.2569 | 1.4042 |
300015914 | Danau | Indonesia | 2.4 | 4.6153 | 96.9264 |
300015923 | Nyaguo | Uganda | 1.6 | 1.3375 | 33.7042 |
300015924 | Tele | Congo | 2.2 | 1.3458 | 17.1458 |
300015927 | Tondano | Indonesia | 2.4 | 1.2125 | 124.8875 |
300015949 | Nabugabo | Uganda | 2.5 | -0.3625 | 31.9042 |
300015950 | Nakuru | Kenya | 2.4 | -0.3708 | 36.0875 |
300015953 | lac Azingo | Gabon | 2.2 | -0.5597 | 10.0264 |
300015969 | Mutanda | Uganda | 1.5 | -1.2375 | 29.6708 |
300015975 | Ikimba | Tanzania United Republic of | 2.2 | -1.4792 | 31.5542 |
300015976 | lac Burera | Rwanda | 1.9 | -1.4319 | 29.7708 |
300015978 | Crique de Banga | Congo The Democratic Republic of the | 1.8 | -1.5458 | 18.7208 |
300015983 | Crique d'Obeke | Congo The Democratic Republic of the | 2.8 | -1.7208 | 18.8375 |
300015985 | Crique de Gongo | Congo The Democratic Republic of the | 1.9 | -1.8458 | 18.7042 |
300015994 | Kerinci | Indonesia | 3.1 | -2.1458 | 101.4958 |
300016011 | Jipe | Tanzania United Republic of;Kenya | 1.5 | -3.6125 | 37.7625 |
300016017 | Burungi | Tanzania United Republic of | 2.9 | -3.8708 | 35.8875 |
300016021 | Ambussel | Tanzania United Republic of | 1.8 | -3.9542 | 37.2708 |
300016024 | Sidenreng | Indonesia | 2.9 | -3.9875 | 119.8708 |
300016034 | Balangida Lehu | Tanzania United Republic of | 2.1 | -4.6792 | 35.2375 |
300016040 | Lagoa de Massabi | Angola | 1.5 | -5.0208 | 12.1208 |
300016041 | Dakataua | Papua New Guinea | 1.7 | -5.0292 | 150.0792 |
300016043 | Wisdom lake | Papua New Guinea | 4.2 | -5.3431 | 147.1153 |
300016052 | Waduk Jatiluhur | Indonesia | 2.5 | -6.5264 | 107.3458 |
300016090 | Waduk Gadjah Mungkur | Indonesia | 2 | -7.9125 | 110.8875 |
300016109 | Quilunda | Angola | 2 | -8.8958 | 13.5958 |
300016110 | lake Mweru Wantipa | Zambia | 2.2 | -8.9097 | 29.7792 |
300016120 | Zzzz | Congo The Democratic Republic of the | 2.8 | -10.0292 | 27.2542 |
300016137 | Lusiwasi | Zambia | 1.6 | -12.9708 | 30.7625 |
300016144 | Zzzz | Australia | 2.6 | -13.8375 | 141.5125 |
300016145 | Mita Hills dam | Zambia | 1.5 | -14.1958 | 29.1153 |
300016205 | Zzzz | Australia | 1.8 | -17.0292 | 123.9625 |
300016223 | lake Manyame | Zimbabwe | 2.4 | -17.8236 | 30.5319 |
300016225 | Chivero | Zimbabwe | 1.7 | -17.8958 | 30.7875 |
300016238 | Sebakwe | Zimbabwe | 1.5 | -19.0208 | 30.2375 |
300016239 | Itasy | Madagascar | 1.9 | -19.0708 | 46.7875 |
300016252 | Zzzz | Australia | 3.2 | -20.2375 | 118.9458 |
300016266 | Nkokwane Pan | Botswana | 2.5 | -21.0542 | 25.5375 |
300016302 | Macleod | Australia | 11 | -24.1458 | 113.6625 |
300016306 | Nhangela Cudhui Lakes | Mozambique | 1.5 | -24.3458 | 35.0042 |
300016309 | Hardap | Namibia | 1.7 | -24.5042 | 17.8375 |
300016311 | lagoa Bambene | Mozambique | 1.7 | -24.5042 | 33.3847 |
300016320 | Quissico | Mozambique | 1.5 | -24.7625 | 34.7125 |
300016372 | Kosi | South Africa | 2.5 | -26.9792 | 32.8375 |
300016389 | Sibayi | South Africa | 2.7 | -27.3514 | 32.6875 |
300016455 | Albert Falls | South Africa | 1.5 | -29.4458 | 30.4042 |
300016482 | Salt | Australia | 2.9 | -30.1042 | 142.1292 |
300016504 | Younghusband | Australia | 3 | -30.8625 | 136.0625 |
300016505 | Peery | Australia | 2 | -30.8125 | 143.5958 |
300016506 | Deborah West | Australia | 2.2 | -30.7792 | 119.0875 |
300016507 | Deborah East | Australia | 2.6 | -30.9375 | 119.4375 |
300016509 | Seabrook | Australia | 2.7 | -30.8958 | 119.6625 |
300016510 | Baladjie | Australia | 1.8 | -30.8875 | 118.9625 |
300016514 | Hanson | Australia | 2.8 | -31.0458 | 136.2542 |
300016517 | Hart | Australia | 3.4 | -31.1792 | 136.3875 |
300016537 | Dutton | Australia | 3.4 | -31.7875 | 137.1458 |
300016597 | Dumbleyung | Australia | 2 | -33.3458 | 117.6708 |
300016602 | lake Ballyrogan | Australia | 2.7 | -33.4764 | 145.9681 |
300016632 | Waranga basin | Australia | 2.7 | -36.5514 | 145.0875 |
300016649 | lake Rotorua | New Zealand | 3.1 | -38.0625 | 176.2514 |
300016658 | Waikaremoana | New Zealand | 1.7 | -38.7708 | 177.1042 |
300016665 | Arthurs lake | Australia | 2 | -42.0042 | 146.9097 |
300016679 | lake Ohau | New Zealand | 2.5 | -44.2014 | 169.8486 |
300016680 | lake Benmore | New Zealand | 2.1 | -44.4042 | 170.2319 |
300016688 | Poteriteri | New Zealand | 1.5 | -46.1042 | 167.1292 |
300016781 | Zzzz | Greenland | 2.2 | 81.5375 | -51.0292 |
300118181 | lago do Padre | Brazil | 1.7 | -3.4347 | -61.0014 |
300134644 | Rihpojavri | Norway | 0.7 | 69.2125 | 20.6042 |
300136326 | Toboy | Russian Federation | 1.5 | 68.8208 | 59.0292 |
300140744 | Korgovoye | Russian Federation | 1.5 | 67.4625 | 49.8458 |
300164228 | Chebarkul | Russian Federation | 1.5 | 53.3792 | 58.6542 |
300165102 | Muggelsee | Germany | 1.2 | 52.4375 | 13.6458 |
References
Carrea, L., Embury, O. and Merchant, C. J. (2015) Datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifiers and lake-centre co-ordinates. Geoscience Data Journal, 2(2). pp. 83-97. ISSN 2049-6060 https://doi.org/10.1002/gdj3.32
Carrea, L., Merchant, C. and Simis, S. (2022) Lake mask and distance to land dataset of 2024 lakes for the European Space Agency Climate Change Initiative Lakes v2 (Version 2.0.1). zenodo https://doi.org/10.5281/zenodo.6699376
Carrea, L., Crétaux, JF., Liu, X. et al. (2023) Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30. https://doi.org/10.1038/s41597-022-01889-z
MacCallum, S.N. and Merchant, C. J. (2012) Surface water temperature observations for large lakes by optimal estimation. Canadian Journal of Remote Sensing, 38(1). pp. 25-45. ISSN 1712-7971 https://doi.org/10.5589/m12-010
This document has been produced in the context of the Copernicus Climate Change Service (C3S).
The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Contribution agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose.
The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view.
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