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GPCC

Overview

The Global Precipitation Climatology Centre (GPCC) provides gridded gauge-analysis products derived from quality controlled station data. There are different products available; we only downloaded the full reanalysis. The latest version of the full reanalysis is v2022 for monthly and v2020 for daily monthly and daily they cover from 1891 to respectively 2020 and 2019.

The data is available on 4 global grids for monthly and only at 1.0 degrees resolution for daily:

  • 0.25 degree latitude x 0.25 degree longitude global grid (1440 x 720) - only monthly
  • 0.5 degree latitude x 0.5 degree longitude global grid (720 x 360) - only monthly
  • 1.0 degree latitude x 1.0 degree longitude global grid (360 x 180)
  • 2.5 degree latitude x 2.5 degree longitude global grid (144 x 72) - only monthly

The data is not bias-corrected for gauges errors, but estimates on these are also provided. More information and a visualization tool for the dataset is available on the GPCC website. For a review of the data check the UCAR Climate Data Guide.

Data download

The data is downloaded from the GPCC data server. Updates are run once a new version is released. To run the script: ./gpcc.sh. A record of updates is kept in update_log.txt.

Data location

We've downloaded GPCC data to

/g/data/ia39/aus-ref-clim-data-nci/gpcc/data/full_data_<frequency>_<version>/<grid>/<files>

where <version> is:

  • v1: daily data only on 1.0 X 1.0 degree grid
  • v6: monthly data only on a 0.5 X 0.5 degree grid from 1901 to 2010
  • v7: monthly data only on 0.5 X 0.5 and 2.5 X 2.5 degrees grid from 1901 to 2013
  • v2020: on 4 grids for monthly and 1.0 X 1.0 grid for daily (as for V2022), from 1891 to 2019
  • v2022: full dataset as described in overview

<frequency> is:

  • mon
  • day

<grid> is:

  • g025 for 0.25 x 0.25
  • g05 for 0.5 x 0.5
  • g10 for 1.0 x 1.0
  • g25 for 2.5 x 2.5

License

Unknown.

Data citations

v2022 monthly (different citations for each resolution):

  • Schneider, Udo; Hänsel, Stephanie; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2022): GPCC Full Data Monthly Product Version 2022 at 0.25°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. DOI: 10.5676/DWD_GPCC/FD_M_V2022_025
  • Schneider, Udo; Hänsel, Stephanie; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2022): GPCC Full Data Monthly Product Version 2022 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. DOI: 10.5676/DWD_GPCC/FD_M_V2022_050
  • Schneider, Udo; Hänsel, Stephanie; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2022): GPCC Full Data Monthly Product Version 2022 at 1.0°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. DOI: 10.5676/DWD_GPCC/FD_M_V2022_100
  • Schneider, Udo; Hänsel, Stephanie; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2022): GPCC Full Data Monthly Product Version 2022 at 2.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. DOI: 10.5676/DWD_GPCC/FD_M_V2022_250

v2020 daily:

  • Ziese, Markus; Rauthe-Schöch, Armin; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Schneider, Udo (2020): GPCC Full Data Daily Version 2020 at 1.0°: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. https://doi.org/10.5676/DWD_GPCC/FD_D_V2020_100

v2020 monthly (different citations for each resolution):

  • Schneider, Udo; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2020): GPCC Full Data Monthly Product Version 2020 at 0.25°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. https://doi.org/10.5676/DWD_GPCC/FD_M_V2020_025
  • Schneider, Udo; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2020): GPCC Full Data Monthly Product Version 2020 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. https://doi.org/10.5676/DWD_GPCC/FD_M_V2020_050
  • Schneider, Udo; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2020): GPCC Full Data Monthly Product Version 2020 at 1.0°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. https://doi.org/10.5676/DWD_GPCC/FD_M_V2020_100
  • Schneider, Udo; Becker, Andreas; Finger, Peter; Rustemeier, Elke; Ziese, Markus (2020): GPCC Full Data Monthly Product Version 2020 at 2.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data. https://doi.org/10.5676/DWD_GPCC/FD_M_V2020_250

References

Becker A, Finger P, Meyer-Christoffer A, Rudolf B, Schamm K, Schneider U, and Ziese M (2013). A description of the global land-surface precipitation data products of the Global Precipitation Climatology Centre with sample applications including centennial (trend) analysis from 1901–present. Earth Systems Science Data, 5, 71–99. https://doi.org/10.5194/essd-5-71-2013

Schneider U, Becker A, Finger P, Meyer-Christoffer A, Ziese M, and Rudolf B (2014). GPCC's new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theoretical and Applied Climatology, 115, 15–40. https://doi.org/10.1007/s00704-013-0860-x

Ziese M, Schneider U, Meyer-Christoffer A, Schamm K, Vido J, Finger P, Bissolli P, Pietzsch S, and Becker A (2014). The GPCC Drought Index – a new, combined and gridded global drought index Earth Systems Science Data 6, 285–295. https://doi.org/10.5194/essd-6-285-2014

Schamm K, Ziese M, Becker A, Finger P, Meyer-Christoffer A, Schneider U, Schröder M, and Stender P (2014). Global gridded precipitation over land: a description of the new GPCC First Guess Daily product. Earth System Science Data, 6, 49–60. https://doi.org/10.5194/essd-6-49-2014

Acknowledgement

No statement provided.

Author note

According to the GPCC product acccess page, users of the data sets are kindly requested to give feedback and to refer to the GPCC publications listed in the references section above.

Assistance

For assistance with GPCC data on NCI, open a new issue at https://github.com/aus-ref-clim-data-nci/GPCC/issues

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