Monthly precipitation in mm at 1 km resolution (multisource average) based on SM2RAIN-ASCAT 2007-2021, CHELSA Climate and WorldClim

Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2021 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and combined with WorldClim (https://worldclim.org/data/worldclim21.html) and CHELSA Climate (https://chelsa-climate.org/downloads/) monthly values. Final values are estimated as a simple average between the three precipitation data sources; a more objective approach would be to use training points e.g. meteo-station monthly values, then train an ensemble model using the 3 data sources as independent variables. Another global data source of precipitation images is the monthly IMERGE dataset, however this requires transformation and is available only for limited span of years.

Processing steps are available here. Antarctica is not included. Standard deviation (sd) indicates a difference between the 3 data sources. To access and visualize maps use: https://openlandmap.org. If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:

Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues 

General questions and comments: https://disqus.com/home/forums/landgis/

All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:

clm = theme: climate,

precipitation = variable: precipitation,

wc.v2.1.chelsa.v2.1.sm2rain.oct = determination method: long-term average values for October,

m = mean value,

1km = spatial resolution / block support: 1 km,

s0..0cm = vertical reference: land surface,

1980..2020 = time reference: from 1980 to 2020,

v0.3 = version number: 0.3,