Directions in error modeling

dc.contributor.authorMaggioni, Viviana
dc.contributor.authorMassari, Christian
dc.date.accessioned2021-07-09T20:38:37Z
dc.date.available2021-07-09T20:38:37Z
dc.date.issued2021
dc.description.abstractAlthough in the recent past numerous attempts have been made to develop error models of satellite precipitation products, several issues limit their use in applications. First off, the majority of these approaches is based on assumptions regarding the distribution of precipitation and/or associated errors. Second, simple error models may be preferable for some applications, but more complex solutions may be more appropriate for others. For instance, hydrological models used to simulate floods should be particularly sensitive to extreme precipitation events and the ability of detecting such events. Thus, an error model that account for missed precipitation cases and false alarms would be preferable. Third, precipitation errors and uncertainties depend on seasonality, rain rate, geophysical features, and the product’s temporal and spatial resolutions. Thus, the same error model would unlikely perform similarly everywhere in the world, at any time, for any precipitation event type, and for any application.
dc.identifier.citationMaggioni, V., and C. Massari, 2021: Directions in error modeling, in The Joint IPWG/GEWEX Precipitation Assessment (ed. R. Roca), WCRP Report 2/2021, World Climate Research Programme (WCRP), Geneva, Switzerland.
dc.identifier.urihttps://hdl.handle.net/1920/11977
dc.identifier.urihttps://doi.org/10.13021/gewex.precip.3.2
dc.language.isoen_US
dc.publisherWorld Climate Research Programme
dc.rightsAttribution 3.0 IGO
dc.rights.urihttps://www.creativecommons.org/licenses/by/3.0/igo/
dc.subjectError
dc.subjectUncertainty
dc.subjectModeling
dc.titleDirections in error modeling
dc.title.alternativeChapter 3.2
dc.typeBook chapter

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