{ "info": { "author": "Yoann M", "author_email": "yoann.moreau@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha" ], "description": "=======\n# Evapo_EraInterim\nTool to calculate refence Evapo-transpiration on an area based on Era Interim models\nThe calculation is based on FAO equation. \n\n\n

Installation

\n\nmkdir PATH/TO/INSTALL
\ncd PATH/TO/INSTALL/Evapo_EraInterim
\ngit clone git+git://github.com/yoannMoreau/Evapo_EraInterim.git
\nsudo pip install https://software.ecmwf.int/wiki/download/attachments/23694554/ecmwf-api-client-python.tgz \npython python/calculateETfromERAI.py.py -help
\n\n( or you cas Use pip to install Evapo_EraInterim )\n\n

Overview: What can Evapo_EraInterim do?

\n\nEvapo_EraInterim has a main function, allow download parameters for evapo-transpiration :
\nTemperature,
\nWind speed,
\nNet Solar radiation
\nPressure
\nPrecipitation
\n
\nAll these data are used to compute Et0 wherever the user need it. The result could be export on tif or in txt file\nfor precise analysis. \nIt's possible to compute Et0 over large period of time, the final result will have as band as years needed.\n\nThree paramaters are mandatory:

\n--Interval needed :
\ninit date ' AND end date '\ninit date and end date coul not exceed, at the time of writing 2014-31-12\n

\n--Area needed
\nshapefile (srs is not important because it will be reprojected in WGS84)\nOR \n--Extend in WGS84\n

\n\nEXAMPLES :
\nEvapoTranspiration during january 2014
\npython calculateETfromERAI.py -i 2014-01-01 -e 2014-01-31 -s PATH_TO_SHAPE'
\n

\nFive paramaters are optional:

\n----typeData (default analyse)'
\nThe type of data needed. \nAnalyse is post production data. At time of writing it's possible to use until the end of 2014\nForecast are less precise but operationnal data. \nForecast use step of 3 hour during all the day (start a 00h until midnight). \nThe last part (from 21h00 to 00h) is not used due to some error on Era-Interim modelisaton\nAnalyse use 4 time : 00h00 06h00 12h00 and 18h00\n

\npython calculateETfromERAI.py -i 2013-11-08 -e 2013-12-09 -E xmin,ymax,xmax,ymin -t analyse\n

\n--grid (default 0.75)'
\nthe grid of output data. It should be from 0.125 to 3 (almost 12km to 300km pixel width) But the model \nrun for an output of 80km, the data are interpolasized for finest grid.\ndefault is 0.75\n

\npython calculateETfromERAI.py -i 2013-11-08 -e 2013-12-09 -E xmin,ymax,xmax,ymin -g 0,125'\n

\n--calculateETfromERAI (default /home/user/eraInterim)'\n

\npython calculateETfromERAI.py -i 2011-10-01 -e 2011-10-02 -s PATH/TO/SHAPEFILE -o PATH/TO/FILE'\nAll downloaded raster are TIF \n

\n--proxy (default False)\n

\nSometimes a proxy definition is needed for downloading from external network.\nWhen this option is activated, a proxy user/key/site could be defined to overpass it\n

\n--temporaryFile (default False)\n

\nIt could be useful to have intermediary product to check how computation have been done.\ndefault is False :\nTemporary files are : \naltitude / humidityMax / humidityMin / latLon / precipitationAcc / pressureMean / RayonnementMean / TemperatureMax / TemperatureMin / ventMean\n

\npython calculateETfromERAI.py -i 2014-01-01 -e 2014-01-04 -s /home/ouaf/landsat/zone_etude.shp -f True\n

\n--resultOutput (default False)\n

\nFor some reason it could be useful to have txtfiles for each pixel. it could be done using -r TxtFile option.\nEach pixel will be export in a txt format.\nDefaut is RasterFile.\n

\npython calculateETfromERAI.py -i 2014-01-01 -e 2014-01-04 -s /home/ouaf/landsat/zone_etude.shp -r TxtFile\n\n\n

Important Notes

\n\nAll downloaded and processed images are stored by default in your home directory in eraInterim forlder: ~/eraInterim\n

\nTo Do List\n

\nImprove console output
\nMaintain with bug error
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