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HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations Version 1
Note !!
(Version 2 is now available)

Always qoute citation when using data!
DOI for scientific and technical data
10.5676/DWD_CDC/HOGP_050/V001 (for 0.5° resolution)
10.5676/DWD_CDC/HOGP_100/V001 (for 1.0° resolution)
10.5676/DWD_CDC/HOGP_250/V001 (for 2.5° resolution)
Title
HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations (at 1.0° and 2.5°, at 0.5° only Europe)
Subtitle
Version 1
Citation
For 0.5° grid resolution:
Andersson, Axel; Ziese, Markus; Dietzsch, Felix; Schröder, Marc; Becker, Andreas; Schamm, Kirstin (2016): HOAPS/GPCC European daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 0.5°

For 1.0° grid resolution:
Andersson, Axel; Ziese, Markus; Dietzsch, Felix; Schröder, Marc; Becker, Andreas; Schamm, Kirstin (2016): HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 1.0°

For 2.5° grid resolution:
Andersson, Axel; Ziese, Markus; Dietzsch, Felix; Schröder, Marc; Becker, Andreas; Schamm, Kirstin (2016): HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations at 2.5°

Creators
Andersson, Axel; Ziese, Markus; Dietzsch, Felix; Schröder, Marc; Becker, Andreas; Schamm, Kirstin
Publisher
Global Precipitation Climatology Centre (GPCC,  http://gpcc.dwd.de ) at Deutscher Wetterdienst (DWD)
Publication Year
2016
Summary
This dataset contains global precipitation observations combined from satellite and rain gauge data over ocean and over land, respectively. It spans the years 1988-2008 and has a spatial resolution of 2.5°×2.5°. Satellite observations are based on SSM/I data of the HOAPS-3.2 dataset of CM SAF (DOI:  10.5676/EUM_SAF_CM/HOAPS/V001 ). These data have been extended with observations from the TMI microwave imager platform. The basic rain rate retrieval is based on a neuronal network approach. The retrieval excludes sea-ice covered regions. Uncertainty estimations are given as standard deviation of pixel values in one grid cells. Precipitation observations over land are included from the GPCC Full Data Daily product (DOI:  10.5676/DWD_GPCC/FD_D_V1_100 ). Relative precipitation anomalies at the stations are interpolated by means of ordinary block kriging. For these data, uncertainty information is included as well. On coastal edges data gaps are interpolated. This dataset is recommended to be used for analyses of extreme events and related statistics at daily resolution as well as for verification and validation purposes of other precipitation products or climate models.
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).
Peer-reviewed articles
“Global gridded precipitation over land: a description of the new GPCC First Guess Daily product”
K. Schamm(1,2), M. Ziese(1), A. Becker(1), P. Finger(1), A. Meyer-Christoffer(1), U. Schneider(1), M. Schröder(2), and P. Stender(1)
(1) Deutscher Wetterdienst, Global Precipitation Climatology Centre, 63067 Offenbach/Main, Germany
(2) Deutscher Wetterdienst, Satellite Based Climate Monitoring, CM SAF, 63067 Offenbach/Main, Germany
in Earth System Science Data, DOI:  10.5194/essd-6-49-2014

“The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3”
A. Andersson(1,2), K.Fennig(1), C.Klepp(3), S. Bakan(4), H. Grassl(3), and J. Schulz(1,5)
(1) Deutscher Wetterdienst, Satellite Based Climate Monitoring, CM SAF, 63067 Offenbach/Main, Germany
(2) Deutscher Wetterdienst, Maritime Climate Monitoring, 20359 Hamburg, Germany
(3) University of Hamburg, Meteorological Institute, 20146 Hamburg, Germany
(4) Max-Planck-Institute for Meteorology, 20146 Hamburg, Germany
(5) Eumetsat, 64295 Darmstadt, Germany
in Earth System Science Data, DOI:  10.5194/essd-2-215-2010
Temporal coverage
1988/01/01-2008/12/31
Spatial coverage
global: Latitude: -90.0 to +90.0; Longitude: -180.0 to +180.0
Europe: Latitude: +30.0 to +80.0; Longitude: -30.0 to +65.0
Data format
NetCDF 4
Data size
282 MB to 1.2 GB
Contact
Dr. Andreas Becker, Head
Global Precipitation Climatology Centre (GPCC)
c/o Deutscher Wetterdienst
Postfach 10 04 65
D-63004 Offenbach/Main
GERMANY

e-mail: gpcc@dwd.de
Phone: +49 (0)69 8062-2900
Fax: +49 (0)69 8062-3987
Dr. Marc Schröder
Satellite Based Climate Monitoring (CM SAF)
c/o Deutscher Wetterdienst
Postfach 10 04 65
D-63004 Offenbach/Main
GERMANY

e-mail: marc.schroeder@dwd.de
Phone: +49 (0)69 8062-4939
Fax: +49 (0)69 8062-2512
NetCDF Format (gzip compressed) 0.5 ° (.gz ~ 364 MByte) 1.0 ° (.gz ~ 1.2 GByte) 2.5 ° (.gz ~ 282 MByte)
1988 - 2008 precipitation per gridcell
1988 - 2008 number of stations per gridcell
1988 - 2008 standard deviation per gridcell
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