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Intercomparison of products for climate applications

Show simple item record Masunaga, Hirohiko Akimoto, Fumie F. Kubota, Takuji Kummerow, Chris Schröder, Marc 2021-07-09T20:39:01Z 2021-07-09T20:39:01Z 2021
dc.identifier.citation Masunaga, H., F.F. Akimoto, T. Kubota, C. Kummerow, and M. Schröder, 2021: Intercomparison of products for climate applications, in The Joint IPWG/GEWEX Precipitation Assessment (ed. R. Roca), WCRP Report 2/2021, World Climate Research Programme (WCRP), Geneva, Switzerland. en_US
dc.description.abstract Observational datasets of global precipitation are widely used for a range of climate applications. The precipitation products, however, are not strictly a “true” representation of nature, but have their own uncertainties related to issues such as sampling errors and algorithmic assumptions. We present here an intercomparison of 11 global precipitation datasets. Major conclusions are: • While the overall geographical pattern of precipitation is coherent among products, the magnitude varies from one dataset to the other. The agreement is poor particularly at high latitudes, since light and/or solid precipitation typical of high latitudes is difficult to estimate accurately from satellite microwave radiometry. • A systematic bias is present between gridded gauge products, which is presumably partially responsible for the spread in merged multi-satellite datasets adjusted to the gauge products. • The bias characteristics in the annual/monthly mean precipitation are a poor predictor of those in extreme precipitation. en_US
dc.language.iso en_US en_US
dc.publisher World Climate Research Programme en_US
dc.rights Attribution 3.0 IGO *
dc.rights.uri *
dc.subject product intercomparison en_US
dc.subject global mean precipitation en_US
dc.subject extreme precipitation en_US
dc.subject regional bias en_US
dc.title Intercomparison of products for climate applications en_US
dc.title.alternative Chapter 2.4 en_US
dc.type Book chapter en_US
dc.identifier.doi 10.13021/gewex.precip.2.4

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