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Coping with Spatial heterogeneity and Non-stationarity of Rainfall: A Fresh View to High Resolution Precipitation Simulations over Large Domains

Qu, Yizhong (2009) Coping with Spatial heterogeneity and Non-stationarity of Rainfall: A Fresh View to High Resolution Precipitation Simulations over Large Domains. [Show/Exhibition]

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Abstract

Flood is a major peril in UK and Europe and as such, the realistic and statistically consistent simulation of its driving force, the precipitation, is of particular importance. Statistical coherence of precipitation simulations is even more important in the context of aggregate flood risk and corresponding extreme economic losses because these are result of the interplay between local intensities, spatial clustering and areal coverage of precipitation footprints. This interplay is further complicated by the fact that rainfall fields are spatially heterogeneous and non-stationary when considered at short time scales. The purpose of this presentation is to introduce a novel modeling approach to large scale - high resolution precipitation simulations which is computationally feasible for thousands annual realizations under the current climate conditions. The model preserves the rainfall patterns at large scales and incorporates anisotropic downscaling localized in space and time to preserve the non-stationary nature of the local precipitation variability. The entire simulation process is conducted in the domain of a Gaussian copula in order to deal with the inherent spatial heterogeneity of rainfall fields.

Item Type: Show/Exhibition
Uncontrolled Keywords: Flooding, Rainfall, Hydrology
Subjects: Hydrology
Earth Sciences
Meteorology and Climatology
Depositing User: Yizhong Qu
Date Deposited: 17 Aug 2009 11:32
Last Modified: 21 Apr 2017 11:02
URI: http://cedadocs.ceda.ac.uk/id/eprint/333

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