Directions in error modeling




Maggioni, Viviana
Massari, Christian

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World Climate Research Programme


Although 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.



Error, Uncertainty, Modeling


Maggioni, 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.