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Published September 26, 2018 | Version 0.2
Dataset Open

Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERGE, CHELSA Climate and WorldClim

  • 1. Envirometrix Ltd

Description

Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018 (https://doi.org/10.5281/zenodo.2615278). Downscaled to 1 km resolution using gdalwarp (cubic splines) and combined with WorldClim (http://biogeo.ucdavis.edu/data/worldclim/v2.0/), CHELSA Climate (https://www.wsl.ch/lud/chelsa/data/climatologies/prec/) and IMERGE monthly (ftp://jsimpson.pps.eosdis.nasa.gov/NRTPUB/imerg/gis/ see files e.g. "3B-MO-L.GIS.IMERG.20180601.V05B.tif") products. Final values are estimated as a weighted average between the four precipitation data sources; 3x higher weight is given to the SM2RAIN-ASCAT data since it assumed to be the most accurate. Processing steps are available here. Antarctica is not included.

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:

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

  • clm = theme: climate,
  • precipitation = variable: precipitation,
  • sm2rain.oct = determination method: SM2RAIN-ASCAT long-term average values for October,
  • m = mean value,
  • 1km = spatial resolution / block support: 1 km,
  • s0..0cm = vertical reference: land surface,
  • 2007..2018 = time reference: from 2007 to 2018,
  • v0.2 = version number: 0.2,

Files

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Additional details

References

  • Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., Wagner, W. (2019). SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture. submitted to Earth System Science Data.
  • Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific data, 4, 170122.
  • Huffman, G. J., D. T. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, and P. Xie, (2014). NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD). https://storm- pps.gsfc.nasa.gov/storm/IMERG_ATBD_V4.pdf
  • Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315.