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To get grevious versions please contact ECMWF (see CMEM contact page).
CMEM Input/ Output
Download CMEM I/O sample:
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Note that for grib input/output you can use either GRIB API encoding ('gribapi' option, which is the default in cmem v2.1) or GRIBEX encoding ('gribex' option which was the default option until cmem_v1.3, named 'grib' at this stage).
Frequently Asked Questions
What happens when two vegetation types (with different LAIs) are equally dominant in the grid cell?
You need to decide for at most one dominant Low vegetation type and one dominant High vegetation type per grid box in the CMEM input files.
When we use the CIDVEG='ECOCLIMAP' is it based on (H)TESSEL clasification ?
No. When this option is activated, the vegetation classification used is:
0 No vegetation; 1 Decidious forests; 2 Coniferous forests; 3 Rain forests; 4 C3 Grasslands; 5 C4 Grasslands; 6 C3 Crops; 7 C4 Crops.
When I use the 'gribapi option' in cmem_v2.0, I have no probleme with compilation, but running cmem fails with this message (when it starts to write the outputs):
GRIB_API ERROR : grib_new_from_template: Internal error
In your xterm you must do:setenv GRIB_TEMPLATES_PATH /YourPathWhereTemplateFileIs/
It seems to be a problem with the netCDF libraries. Do you probably have some already precompiled netCDF libraries that work well together with CMEM (32bit and 64bit Linux) that you could probably send us for testing?
No CMEM does not use any specific libraries. There must be a problem with your netcdf installation and link to fortran. You have more informations on http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-f90/
A simple test for you to test your installation would be to try to compile and to use a very simple fortran programme which do uses netcdf functions. Examples are given in http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-f90/index.html#Top
Based on this documentation I also put one example here: test_netcdf.F90 to read the foo.nc test file.
In dielsoil_sub.F90 the Dobson model computation of beta does not match with the equation given in the Dobson et al. (1985) paper for the imaginary part. CMEM uses beta = (133.797_JPRM - 0.603_JPRM * sand - 0.166_JPRM * clay) / 100._JPRM, while Dobson et al. indicates that beta = (1.33797 - 0.603 * sand - 0.166 * clay) / 100.
The original Dobson paper had a typo error and was later corrected in Peplinski et al. (1995) (IEEE TGRS, Vol 33) where the expression is given as: beta = (1.33797 - 0.603 * sand - 0.166 * clay), where sand and clay are expressed in fraction. This formulation is used in CMEM where sand and clay contents are expressed in percent.
CMEM TBs are identical in horizontal and vertical polarizations when CMEM is used in C-band. However the 1.4 GHz simulations seem to behave as they should.
Before using CMEM please ensure that soil parameters are properly defined. The soil roughness parameter ip_rgh_surf is defined by default to be 2.2 cm in cmem_setup.F90. It must be replaced by an appropriate value for each case study (lower than 1 in most cases).
CMEM Users
Name | Institute | Country |
Mahdi Allahmoradi | Department of Civil and Environmental Engineering The University of Melbourne | Australia |
Anais Barella Ortis | Laboratoire de Météorologie Dynamique | Paris |
Simone Bircher | Technical University of Denmark | Denmark |
Jean-Christophe Calvet | CNRM/Météo-France | France |
Marco Carrera | Environment Canada | Canada |
Chasmita Chaurasia | Space Applications Centre ISRO | India |
Gabrielle De Lannoy | NASA GSFC | USA |
Thomas Holmes | USDA | US |
Binghao Jia | LASG, Institute of Atmospheric Physics # Chinese Academy of Sciences, Beijing | China |
Thomas Kaminski | FastOpt | Hamburg, Germany |
Yann Kerr | Centre d'Etudes Spatiales de la BIOsphère (CESBIO) | France |
Seungbum Kim | NASA GSFC | USA |
Chen Liang | Institute of Remote Sensing | China |
Hans Lievens | Laboratory of Hydrology and Water Management | Belgium |
Alexander Löw | University of Munich (LMU) | Germany |
Qifeng Lu | National Satellite Meteorological Center, China Meteorological Adminstration | China |
Chunfeng Ma | Laboratory of Remote Sensing and Geospatial Science; Chinese Academy of Sciences | China |
Wojciech Marczewski | Space Research Center PAS, Warsaw | Poland |
Maheshwari Neelam | Texas AM University | USA |
Valentijn Pauwels | Laboratory of Hydrology and Water Management | Belgium |
Jan Polcher | LMD/CNRS, currently at Institut Català de Ciències del Clima (IC3) | Spain |
Jayesh P. Pabari | Physical Research Laboratory | India |
Yubao Qiu | Center for Earth Observation and Digital Earth Chinese Academy of Sciences | China |
Luigi Renzullo | CSIRO Land and Water | Australia |
Sandra Slowinska | Institute of Technology and Life Sciences, Bydgoszcz | Poland |
Ewa Slowinska | Space Research Center PAS, Warsaw | Poland |
Jan Slowinski | Space Research Center PAS, Warsaw | Poland |
Z. (Bob) Su | International Institute for Geo-Information Science and Earth Observation (ITC) | The Netherlands |
Yudong Tian | NASA GSFC | USA |
Han Xujun | Laboratory of Remote Sensing and Geospatial Science; Chinese Academy of Sciences | China |
Eric Wood | Princeton University | USA |
Long Zhao | Institute of Tibetan Plateau Research, Chinese Academy of Sciences | China |
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