The latest version is V1.2 (released November 28, 2016)
Multi-Source Weighted-Ensemble Precipitation (MSWEP) retrospective is a new fully global precipitation dataset (1979–2015) with a high 3-hourly temporal and 0.25° spatial resolution (Beck et al., 2016). The dataset is unique in that it takes advantage of a wide range of data sources, including gauges, satellites, and atmospheric reanalysis models, to obtain the best possible precipitation estimates at global scale.
MSWEP has been validated at global scale using (i) hydrological modeling for approximately 9000 catchments and (ii) independent precipitation data from 125 FLUXNET stations. In both validation exercises MSWEP was found to perform favorably compared to popular gauge-adjusted precipitation datasets such as CPC Unified, TMPA 3B42, GPCP-1DD, and WFDEI-CRU. MSWEP was selected as the main precipitation forcing for the state-of-the-art evaporation model GLEAM and for Tier-2 of the EU-FP7 project eartH2Observe. For more information about MSWEP, see the following open-access paper:
- Beck, H.E., A.I.J.M. van Dijk, V. Levizzani, J. Schellekens, D.G. Miralles, B. Martens, A. de Roo (2016): MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data, Hydrology and Earth System Sciences, .
The latest MSWEP technical documentation, including the version history and examples on how to read the data with MATLAB and Python, can be viewed here.
By using MSWEP in any publication you agree to cite Beck et al. (2016). Please read the technical documentation carefully before attempting to use the data. The ocean estimates provided since V1.2 are experimental and should be used at your own risk. The MSWEP mean annual precipitation map is available here. The map of CHPclim bias correction factors is available here. Enter your name, affiliation, and email address to receive the FTP address for downloading the data.
MSWEP may not be used for commercial or business applications. MSWEP is being developed by Hylke Beck (Princeton University, Princeton, USA) in collaboration with Albert van Dijk (ANU, Canberra, Australia), Ad de Roo (JRC, Ispra, Italy), Vincenzo Levizzani (CNR-ISAC, Bologna, Italy), Jaap Schellekens (Deltares, Delft, The Netherlands), Diego Miralles (VU University Amsterdam, The Netherlands), and Brecht Martens (Ghent University, Belgium). We gratefully acknowledge the precipitation dataset developers for producing and making their datasets available. The Global Runoff Data Centre (GRDC) and the U.S. Geological Survey (USGS) are thanked for providing most of the observed streamflow data. We would also like to thank the FLUXNET community for providing the precipitation data. This research received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 603608, “Global Earth Observation for integrated water resource assessment”: eartH2Observe. By using MSWEP in any publication you agree to cite Beck et al. (2016).