Christian Franzke: Statistical modeling of extreme precipitation

Time: Mon 2019-11-25 15.15 - 16.15

Lecturer: Christian Franzke

Location: KTH, F11

Abstract

Precipitation is an important meteorological variable which is critical for weather risk assessment. For instance, intense but short precipitation events can lead to flash floods and landslides. Most statistical modeling studies assume that the occurrence of precipitation events is based on a Poisson process with exponentially distributed waiting times while precipitation intensities are typically described by a gamma distribution or a mixture of two exponential distributions. Here, I show by using hourly precipitation data over the United Sates that the waiting time between precipitation events is non-exponentially distributed and best described by a fractional Poisson process. I also show how to modeling spatial precipitation extremes. I will also discuss how well regional climate models and reanalysis products reproduce those extremes.

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Belongs to: Department of Mathematics
Last changed: Nov 18, 2019