Global Precipitation Climatology Centre (GPCC) DE

GPCC Precipitation Normals in mm/ month (Version 2022) per 0.25 degree grid for July (Source DWD, GPCC )

GPCC Precipitation Normals in mm/ month (Version 2022) per 0.25 degree grid for July

The Global Precipitation Climatology Centre (GPCC): operated by DWD under the auspices of the World Meteorological Organization (WMO)

The Global Precipitation Climatology Centre (GPCC) provides global precipitation analyses for monitoring and research of the earth's climate. The centre is a German contribution to the World Climate Research Programme (WCRP) and the Global Climate Observing System (GCOS).

First Guess precipitation anomaly in mm/month for the last available month
(deviation from normals 1951/ 2000)
First Guess WorldFirst Guess Europe

To the GPCC Visualizer

Product Info

The GPCC provides unrestricted access to its gridded monthly and daily precipitation data sets for climate monitoring purposes and related research. All users are requested to refer to the GPCC and the product specific DOI (Digital Object Identifier) reference as provided with the products. Available are the following user tailored products that differ with regard to the underlying data and the use case:
First Guess Monthly of monthly precipitation anomalies based on SYNOP messages of approx. 7,000 stations arriving with DWD (Offenbach). Maps (GIF) and data product become retrievable within 5 days after observation month through the GPCC Visualizer (Drop Down Menu Item „GPCC Landsurface First Guess Product 1.0°“) and the GPCC Download Gate.
First Guess Daily analysis of global precipitation totals and anomalies based on SYNOP messages of meanwhile approx. 7,000 stations arriving with DWD (Offenbach). The data product becomes available 5 days after the observation month through the GPCC Download Gate.
Monitoring Product (Version 2020) for the period 1982 to present based on quality-controlled monthly data from 7,000-9,000 stations. Maps and the gridded product become retrievable at resolutions 1.0° and 2.5° degrees lat/long 2 months after the observation month through the GPCC Visualizer (Drop Down Menu Item „GPCC Landsurface Monitoring Monthly Product 1.0° / 2.5°“) and the GPCC Download Gate.
Full Data Monthly V.2020 for the period 1891 to 2019 based on quality-controlled data from all stations in GPCC's data base available at the month of regard with a maximum number of more than 53,000 stations in 1986/1987. This product is optimized for best spatial coverage and use for water budget studies. Maps and the gridded product become retrievable at resolutions 0.25°, 0.5°, 1.0° and 2.5° degrees lat/long through the GPCC Visualizer (Drop Down Menu Item „GPCC Landsurface Full Data Monthly Product V.2020 0.25°/ 0.5° / 1.0° / 2.5°“) and the GPCC Download Gate.
Full Data Daily V.2020 of daily global land-surface precipitation is based on data provided by national meteorological and hydrological services, global and regional data collections as well as WMO GTS-data. This product contains the daily totals on a regular grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Relative precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Full Data Monthly V.2020. The temporal coverage of the dataset ranges from January 1982 until December 2019. This GPCC product is recommended to be used when the daily precipitation information is of highest importance, e.g. for analyses of extreme events and related statistics at daily resolution and available as netCDF files through the GPCC Download Gate.
HOAPS/GPCC global daily precipitation data set is a combined analysis of satellite and in-situ observations for the period 1988 to 2008 with an uncertainty estimation of the gridded values. A spatial resolution of 1.0° and 2.5° is provided for the global analysis and additionally 0.5° resolution for an European sector and available as netCDF files through the GPCC Download Gate. This dataset was created within the DAPACLIP project (Daily Precipitation Analysis for Climate Prediction). The DAPACLIP project was part of the MiKlip project framework (Mittelfristige Klimaprognosen) and funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF).
Gridded Precipitation Climatology (V.2020) based on monthly means focussing on the period 1951-2000 for approx. 85,000 stations. The gridded climatology fields (0.25°, 0.5°, 1.0° and 2.5°) form the background fields for the anomaly interpolation utilized on all DOI referenced GPCC products and are available via the GPCC Visualizer (Drop Down Menu Item „GPCC Precipitation Climatology V. 2020 0.25° /  0.5° / 1.0° / 2.5°“) and as netCDF files through the GPCC Download Gate.
HOMPRA Europe (V1) is a homogenized and quality-controlled data product suitable for trend analysis. The product is provided for the years 1951-2005 and is based on 5536 stations. The gridded data are available in netCDF format with a spatial resolution of 0.5 °, 1.0 ° and 2.5 ° and available as netCDF files through the GPCC Download Gate.
GPCC drought index is a standardized anomaly of precipitation and potential evapotranspiration regarding to long term means. Precipitation data are taken from GPCC's "First Guess" product and temperature data from "NOAA's Climate Prediction Center (CPC) Monthly Global Surface Air Temperature Data Set". Aggregation periods of 1, 3, 6, 9, 12, 24 and 48 months are calculated and available as netCDF files through the GPCC Download Gate.
Retrospective GPCC drought index is a standardized anomaly of precipitation and potential evapotranspiration regarding long term means for the period 1952 to 2013. Precipitation data are taken from GPCC's "Full Data Monthly" product and temperature data from "NOAA's Climate Prediction Center (CPC) Monthly Global Surface Air Temperature Data Set". Aggregation periods of 1, 3, 6, 9, 12, 24 and 48 months are calculated and available as netCDF files through the GPCC Download Gate.
50-Year VASClimO Data Set 1951 to 2000 (V1.1), based on quality-controlled and homogenized time-series from 9343 stations. This product is optimized for homogeneity in time and for application in climate variability studies. Direct download of gridded data (0.5°) is possible from the VASClimO page of this Website.
GPCC Interpolation Test Dataset (ITD) was created to provide "open" precipitation data for users to compare their interpolation results with the GPCC interpolation procedure. Depart from the operational interpolation of anomalies, monthly precipitation totals were interpolated, because the necessary long term means to compute the anomalies could not be provided. As described in Becker et al. (2013), the interpolation was done at a finer subgrid and subsequent area and land portion weighting. Only (aggregated) monthly precipitation totals from the GHCN dataset (e.g., Menne et al., 2012) were used as input data. This dataset is applicable for the comparison of interpolation schemes, but not for hydrological or climatological analyses, and available as netCDF files through the GPCC Download Gate.
GPCC's Monitoring Product is used as land-surface reference for the GPCP Satellite-Gauge Combination, which is available in the resolution 2.5° degrees lat/long. This combined product includes gauge-bias corrections!
The gridded gauge-analysis products provided by the GPCC are not bias corrected for systematic gauge measuring errors. However, the GPCC provides estimates for that error (climatological estimates up to Dec. 2006; since Jan. 2007 taking the weather conditions during the month into account) as well as the number of gauges used on the grid (accessible via the Visualizer). In addition to that, information about the proportion of the different precipitation phases (liquid, solid, mixed) is available since Jan. 2007 (detailed description of GPCC's global precipitation analysis products).
Users of the gauge products are recommended to apply the correction factors within the application, to consider the station density of the respective precipitation product, and to select the product which fits best your scientific application.