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author | climate |
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date | Sun, 07 Jul 2019 10:04:37 -0400 |
parents | b9d9fe0c2ce7 |
children | ee42b7a33dc7 |
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<tool id="cds_essential_variability" name="Copernicus Essential Climate Variables" version="0.1.4"> <description>for assessing climate variability</description> <requirements> <requirement type="package" version="3">python</requirement> <requirement type="package" version="0.1.4">cdsapi</requirement> <requirement type="package" version="1.9.6">cdo</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ HOME=`pwd` && cp \$COPERNICUS_CDSAPIRC_KEY_FILE .cdsapirc | true && python3 '$__tool_directory__/ecv_retrieve.py' 'ecv-for-climate-change' '$variable' --month '$month' #if str($product_type.product) == 'monthly_mean' --year '$product_type.year' --time_aggregation '1_month' #else if str($product_type.product) == 'anomaly' --time_aggregation '$product_type.selector' --year '$product_type.year' #else --year '2018' --time_aggregation '1_month' #end if --product_type '$product_type.product' --format 'tgz' --output 'tmp.tgz' --verbose && tar zxvf tmp.tgz && cat *.grib > tmpg.grib && cdo remapcon,$adv.resol -setgridtype,regular tmpg.grib tmp.grib && cdo -f nc -t ecmwf copy tmp.grib tmp.nc ]]></command> <inputs> <param name="variable" type="select" multiple="true" label="Variable(s)"> <option value="surface_air_temperature" selected="true">Surface air temperature</option> <option value="surface_air_relative_humidity" selected="true">Surface air relative humidity</option> <option value="0_7cm_volumetric_soil_moisture" selected="true">0-7cm volumetric soil moisture</option> <option value="precipitation" selected="true">Precipitation</option> <option value="sea_ice_cover" selected="true">Sea-ice cover</option> </param> <conditional name="product_type"> <param name="product" type="select" label="Select type of data"> <option value="monthly_mean" selected="true">Monthly mean</option> <option value="climatology">Climatology</option> <option value="anomaly">Anomaly</option> </param> <when value="monthly_mean"> <param name="year" type="select" multiple="true" label="Select year(s)"> <option value="1979">1979</option> <option value="1980">1980</option> <option value="1981">1981</option> <option value="1982">1982</option> <option value="1983">1983</option> <option value="1984">1984</option> <option value="1985">1985</option> <option value="1986">1986</option> <option value="1987">1987</option> <option value="1988">1988</option> <option value="1989">1989</option> <option value="1990">1990</option> <option value="1991">1991</option> <option value="1992">1992</option> <option value="1993">1993</option> <option value="1994">1994</option> <option value="1995">1995</option> <option value="1996">1996</option> <option value="1997">1997</option> <option value="1998">1998</option> <option value="1999">1999</option> <option value="2000">2000</option> <option value="2001">2001</option> <option value="2002">2002</option> <option value="2003">2003</option> <option value="2004">2004</option> <option value="2005">2005</option> <option value="2006">2006</option> <option value="2007">2007</option> <option value="2008">2008</option> <option value="2009">2009</option> <option value="2010">2010</option> <option value="2011">2011</option> <option value="2012">2012</option> <option value="2013">2013</option> <option value="2014">2014</option> <option value="2015">2015</option> <option value="2016">2016</option> <option value="2017">2017</option> <option value="2018">2018</option> <option value="2019" selected="true">2019</option> </param> </when> <when value="anomaly"> <param name="year" type="select" multiple="true" label="Select year(s)"> <option value="1979">1979</option> <option value="1980">1980</option> <option value="1981">1981</option> <option value="1982">1982</option> <option value="1983">1983</option> <option value="1984">1984</option> <option value="1985">1985</option> <option value="1986">1986</option> <option value="1987">1987</option> <option value="1988">1988</option> <option value="1989">1989</option> <option value="1990">1990</option> <option value="1991">1991</option> <option value="1992">1992</option> <option value="1993">1993</option> <option value="1994">1994</option> <option value="1995">1995</option> <option value="1996">1996</option> <option value="1997">1997</option> <option value="1998">1998</option> <option value="1999">1999</option> <option value="2000">2000</option> <option value="2001">2001</option> <option value="2002">2002</option> <option value="2003">2003</option> <option value="2004">2004</option> <option value="2005">2005</option> <option value="2006">2006</option> <option value="2007">2007</option> <option value="2008">2008</option> <option value="2009">2009</option> <option value="2010">2010</option> <option value="2011">2011</option> <option value="2012">2012</option> <option value="2013">2013</option> <option value="2014">2014</option> <option value="2015">2015</option> <option value="2016">2016</option> <option value="2017">2017</option> <option value="2018" selected="true">2018</option> </param> <param name="selector" type="select" label="Time aggregation"> <option value="12_month" selected="true">yearly</option> <option value="1_month">monthly</option> </param> </when> </conditional> <param name="month" type="select" multiple="true" label="Select month(s)"> <option value="01" selected="true">January</option> <option value="02" selected="true">February</option> <option value="03" selected="true">March</option> <option value="04" selected="true">April</option> <option value="05" selected="true">May</option> <option value="06" selected="true">June</option> <option value="07" selected="true">July</option> <option value="08" selected="true">August</option> <option value="09" selected="true">September</option> <option value="10" selected="true">October</option> <option value="11" selected="true">November</option> <option value="12" selected="true">December</option> </param> <section name="adv" title="Advanced Options" expanded="false"> <param name="resol" type="select" label="Resolution"> <option value="r1440x720" selected="true">high</option> <option value="r144x72">low</option> </param> </section> </inputs> <outputs> <data name="ofilename" format="netcdf" from_work_dir="tmp.nc"/> </outputs> <tests> <test> <param name="variable" value="0_7cm_volumetric_soil_moisture"/> <conditional name="product_type"> <param name="product" value="monthly_mean"/> <param name="year" value="2018"/> </conditional> <param name="month" value="12"/> <param name="resol" value="r144x72"/> <output name="ofilename" ftype="netcdf" file="soil_moisture.nc" compare="sim_size" delta="100"/> </test> <test> <param name="variable" value="precipitation"/> <conditional name="product_type"> <param name="product" value="anomaly"/> <param name="year" value="2017"/> <param name="time_aggregation" value="12_month"/> </conditional> <param name="month" value="12"/> <param name="resol" value="r144x72"/> <output name="ofilename" ftype="netcdf" file="prep_seaice.nc" compare="sim_size" delta="100"/> </test> </tests> <help><![CDATA[ **Copernicus Essential climate variables for assessment of climate variability from 1979 to present** ======================================================================================================= This tool is a wrapper to retrieve Copernicus Essential Climate Variables. It corresponds to the European Contribution to the Monitoring of Essential Climate Variables from Space. An Essential Climate Variable is a physical, chemical or biological variable or a group of linked variables that critically contributes to the characterization of Earth’ s climate. The Essential Climate Variables for assessment of climate variability from 1979 to present dataset contains a selection of climatologies and monthly anomalies of Essential Climate Variables (ECVs) suitable for monitoring and assessment of climate variability and change. Selection criteria are based on accuracy and temporal consistency on monthly to decadal time scales. The ECV data products in this set have been estimated from multiple sources and, depending on the source, may have been adjusted to account for biases and other known deficiencies. Data sources and adjustment methods used are described in the Product User Guide, as are various particulars such as the baseline periods used to calculate monthly climatologies and the corresponding anomalies. - ECV Factsheets: https://gcos.wmo.int/en/essential-climate-variables/ecv-factsheets - Copernicus Climate Data Store documentation on Essential Climate Variables: https://cds.climate.copernicus.eu/cdsapp#!/dataset/ecv-for-climate-change?tab=overview See climatedata.wmo.int/ for more information on Essential Climate Variables. .. class:: infomark It allows to retrieve estimates of Essential Climate Variables (ECVs) derived from Earth observations. License: ~~~~~~~~ Copernicus License V1.1 Generated using Copernicus Climate Change Service information [2019]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. ]]></help> <citations> <citation type="doi">10.1002/qj.828</citation> <citation type="doi">10.1002/qj.2949</citation> </citations> </tool>