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Joint Estimation of Extreme Spatially Aggregated Precipitation at Different Scales through Mixture Modelling by Richards, Jordan; Tawn, Jonathan A.; Brown, Simon is a scholarly article available to read on EtoBox.

What is Joint Estimation of Extreme Spatially Aggregated Precipitation at Different Scales through Mixture Modelling about?

Although most models for rainfall extremes focus on point-wise values, it is aggregated precipitation over areas up to river catchment scale that is of the most interest. To capture the joint behaviour of precipitation aggregates evaluated at different spatial scales, parsimonious and effective models must be built with knowledge of the underlying spatial process. Precipitation is driven by a mixture of processes acting at different scales and intensities, e.g., convective and frontal, with extremes of aggregates for typical catchment sizes arising from extremes of only one of these processes, rather than a combination of them. High-intensity convective events cause extreme spatial aggregates at small scales but the contribution of lower-intensity large-scale fronts is likely to increase as the area aggregated increases. Thus, to capture small to large scale spatial aggregates within a single approach requires a model that can accurately capture the extremal properties of both convective and frontal events. Previous extreme value methods have ignored this mixture structure; we propose a spatial extreme value model which is a mixture of two components with different marginal and dep

Author

Richards, Jordan; Tawn, Jonathan A.; Brown, Simon

Published

2021

Language

EN