| hasReference |
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Ziese, M., U. Schneider, A. Meyer-Christoffer, K. Schamm, J. Vido,
P. Finger, P. Bissolli, S. Pietzsch, and A. Becker, 2014: The GPCC
Drought Index - a new, combined and gridded global drought index.
Earth Syst. Sci. Data, 6, 285-295 (DOI: 10.5194/essd-6-285-2014),
URL: http://dx.doi.org/10.5194/essd-6-285-2014.
Schamm, K., M. Ziese, A. Becker, P. Finger, A. Meyer-Christoffer, U.
Schneider, M. Schröder, and P. Stender, 2014: Global gridded
precipitation over land: A description of the new GPCC First Guess
Daily product. Earth Syst. Sci. Data, 6, 49-60 (DOI:
10.5194/essd-6-49-2014), URL:
http://dx.doi.org/10.5194/essd-6-49-2014.
Becker, A., P. Finger, A. Meyer-Christoffer, B. Rudolf, K. Schamm,
U. Schneider, and M. Ziese, 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 Syst. Sci. Data, 5, 71-99
(DOI: 10.5194/essd-5-71-2013), URL:
http://dx.doi.org/10.5194/essd-5-71-2013.
Schneider, U., A. Becker, P. Finger, A. Meyer-Christoffer, M. Ziese,
and B. Rudolf, 2013: 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 (DOI: 10.1007/s00704-013-0860-x), URL:
http://dx.doi.org/10.1007/s00704-013-0860-x.
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| hasSummary |
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This dataset contains the centennial Global Precipitation
Climatology Centre (GPCC) Full Data Reanalysis of monthly global
land-surface precipitation based on the 75,000 stations world-wide
that feature record durations of 10 years or longer. This product
contains the monthly totals on a regular grid with a spatial
resolution of 0.5, 1.0, and 2.5 degrees latitude by longitude.
Precipitation anomalies at the stations are interpolated and then
superimposed on the GPCC Climatology V2015 in the corresponding
resolution. The temporal coverage of the dataset ranges from January
1901 until December 2013.
The GPCC Full Data Reanalysis is the most accurate in situ
precipitation reanalysis data set of GPCC. In addition, it supports
regional climate monitoring, model validation, climate variability
analysis and water resources assessment studies.
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