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titleTable 4: assimilated satellite observations (real-time)


Instrument

Satellite

Space Agency

Data Provider

Species

MODIS

EOS-Aqua, EOS-Terra

NASA

NASA

AOD

MLS

EOS-Aura

NASA

NASA

O3 profile

OMI

EOS-Aura

NASA

KNMI

O3

OMIEOS-AuraNASANASASO2

OMPS

NOAA-20*, Suomi NPP

NOAA

EUMESAT

O3 layers

IASI

METOP-B, METOP-C

EUMETSAT/CNES

AC-SAF

CO

MOPITT

EOS-Terra

NASA

NCAR

CO

GOME-2

METOP-B, METOP-C

EUMETSAT/ESA

AC-SAF

O3, NO2, SO2

PMAp

METOP-B, METOP-C

EUMETSAT

EUMETSAT

AOD

TROPOMI

Sentinel-5p

ESA/NSO

ESA/KNMI/DLR

O3, SO2, CO

VIIRS

 S-NPP and NOAA20 

NOAA

NOAA/Eumetsat

AOD


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  1. Convert mass mixing ratio (MMR) to mass concentration or to volume mixing ratio (VMR)

  2. Representations of SO2 and SO4 in CAMS reanalysis

  3. CAMS global sea salt aerosol mixing ratios
  4. For details on how convert from mixing ratio (kg per kg dry air) to concentration (kg/m3): CAMS Surface concentration of a given species

  5. Anchor
    uv_index
    uv_index

    Expand
    titleUV Index definition and computation

    CAMS provides a global solar UV index forecast (from the ADS), conforming to the WHO definition.

    UV Index data is available as:

    To generate this data, we compute the surface down-welling spectral solar irradiance in the range 280-340nm at 5nm resolution taking into account local surface albedo, aerosol, clouds and ozone in the model profile. This is then convoluted with the erythema spectrum, resulting in the biologically active UV radiation. For more details please have a look here.

    UV Index plots are available showing:

    corresponding to the two UV index parameters described above. To create the plots we divide the UV biologically effective dose rate by 0.025 W/m2 (i.e. multiplied by 40), resulting in the dimensionless UV index where one unit of measurement (ie the difference between UV Index X and X+1) represents 25mW/m2 of UVA and UVB radiation absorbed by the human skin.

    UV Index values are instantaneous, not cumulated.



  6. Expand
    titleWeb charts of biomass-burning AOD

    The actual aerosol species represented in the model are defined more according to their chemical composition (e.g. sulphate, black carbon, organic matter) rather than their source type (e.g. biomass burning or fossil fuels).

    What is presented on the web charts as "biomass-burning AOD" is the sum of organic matter AOD (omaod550) and black carbon AOD (bcaod550). Organic matter is almost always the dominant component out of these.

    Historically, biomass-burning was the main source of such aerosols in the model, apart from a much lower background of primary OM+BC from fossil fuels and of OM from biogenic secondary organic aerosol (SOA).

    However, since a representation of anthropogenic SOA as a source of OM was added (in cycle 43r1, implemented in January 2017), the model also captures the relatively high levels of this OM around polluted cities.

    To sum up, if you want the data used for those web charts, take omaod550+bcaod550 (which will usually be fairly close to omaod550 alone). However, note that this will also show significant aerosol plumes from anthropogenic pollution as well as biomass burning.


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Issue typeDescriptionCycleNote
High SO2 values over north-eastern Brazil

High SO2 values over north-eastern Brazil on 18 January 2020 and 16 June 2020 at 06:00:00 are artificial and are due to the assimilation of some spurious satellite observations of SO2 in one of the datasets used by CAMS. 

47r1
BC concentrations in the mid/upper troposphere tend to be too high

Some of the low background BC concentrations in the mid/upper troposphere tend to be too high as an artefact of the data assimilation as it improves the total AOD. (They're still very low compared to polluted areas, but can be somewhat higher than they should.) This aspect of the impact of data assimilation on aerosol speciation is something that we're continuing to look into. (The accompanying "control run", a model-only product with no AOD assimilation, can often has a more realistic speciation and vertical profile in this regard, but at the cost of a poorer agreement with observations of total AOD.)

47r1 or 46r1

Dust emissions are too high in cycle 46r1

See details here: Dust emissions are too high in Cycle 46r146r1

AOD and PM data are zero at forecast step 0

Aerosol optical depth (AOD) and particulate matter (PM10, PM2.5) at forecast step 0: all values are zero41r1 and 43r1



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  1. Please acknowledge the use of the CAMS as stated in the Licence to Use Copernicus Products:

    false

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  2. Indicate where data was downloaded from:

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    <authors> (year of publication) data downloaded from the Copernicus Atmosphere Monitoring Service (ADS) Atmosphere Data Store (ADS) (doi or url)


  3. Cite each dataset version (as applicable): 
false

check with Johannes. Format is:

Surname, initial., Surname, Initial. (Year of publication): <title as shown in ADS>, <version number if applicable>, Copernicus Atmosphere Monitoring Service (CAMS) Atmosphere Data Store (CDS). (<date of access>), xxx.


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