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Country specific Evapotranspiration info
This is outdated info as V2 does not require Evapotranspiration info any more. However, we're still keeping this around in case anyone needs it for some other purpose.
The Australian Bureau of Meteorology average and monthly evapotranspiration data grid provides evapotranspiration data: http://www.bom.gov.au/jsp/ncc/climate_averages/evapotranspiration/index.jsp?maptype=1&period=an#maps. Potential options from this tool include 'Areal Actual', 'Areal Potential', and 'Point Potential' and I haven't read up enough to know what the best would be to recommend for use here. Based on the small synopsis on the page it seems like 'Areal Actual' would be the most appropriate. It's also worth noting that this generates month data-sets that are space delimited where each cell represents 0.1 degree 'cells' starting from a known corner (specified at the top of the file). Refer to https://github.com/jeroenterheerdt/HAsmartirrigation/issues/79 for more information.
https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=117&id_rubrique=39
The data can be found here in 1/10mm: https://opendata.dwd.de/climate_environment/CDC/derived_germany/soil/multi_annual/mean_91-10/derived_germany_soil_multi_annual_mean_91-10_VGLS.txt (real evapotranspiration over grass and loamy sand). Before entering this data, the data has to be divided by 10 to have the mm values.
https://ims.gov.il/en/evaporation
Here's a paper that lists ET data for Latvia: https://www.geo.lu.lv/fileadmin/user_upload/LU.LV/Apaksvietnes/Fakultates/www.gzzf.lu.lv/Folia_Geographica/FG_raksti_2004/2004Geografiskie_raksti_XII_2.pdf, although it's on the monthly level, so you will need to divide it by 30.
Reference evaporation values for 14 stations in the Netherlands can be found at the link below. The file contains evaporation values from January 1981 till December 2010. You can use the data to calculate average values based on your preference, e.g. most recent average (2010), average over the last x years or average over the period 1981 - 2010. The data is provided by the KNMI:
https://dataplatform.knmi.nl/nl/dataset/knmi14-referentieverdamping-3-2
KNMI14____ref_evmk___19810101-20101231_v3.2.txt
You can also find it here, in case the file gets taken down: list_dx.txt
The 14 weather stations in the data can be identified through their GPS coordinates. Use Google Maps or the attached list_dx.txt to find the one closest to your home.
Data can be found at the National Institute of Water and Atmospheric Research (NIWA), National Climate Database. https://cliflo.niwa.co.nz/ Register for an account first https://cliflo.niwa.co.nz/pls/niwp/wh.do_help?id=sub_join Use the Database Query form https://cliflo.niwa.co.nz/pls/niwp/wgenf.genform1 Select "Statistics Calculated from Observations", "Monthly Statistics", "Evaporation and PET". Then "Penman" potential evapo-transpiration. Then Add. Next choose a station which is closest to your location has lots of sensors (Rain, Wind, Sun, Temp), then start/end dates. Download the data. This provides the total for the month and I believe Smart Irrigation requires the daily average for the month. So next divide the monthly values by the number of days in each month.
https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://journals.umcs.pl/b/article/download/14307/10395&ved=2ahUKEwjiqNDE36WAAxVJBhAIHZ0hCbYQFnoECBAQAQ&usg=AOvVaw1StPjzOK_JQfrXA1aioG9E. Divide values by 30 since this is monthly data.
https://api.ipma.pt/open-data/observation/climate/evapotranspiration/