Threshold Modelling of Spatial Extremes - Summer Rainfall of Korea

Bayesian hierarchical modelling of rainfall extremes

Understanding weather and climate extremes is important for assessing, and adapting to, the potential impacts of climate change. The design of hydraulic structures such as dams, drainage and sewers, for instance, relies in part on accurate information regarding patterns of extreme rainfall occurring at various locations and at different durations. Deriving this kind of information is challengin...

Indian Summer Monsoon Rainfall: Implications of Contrasting Trends in the Spatial Variability of Means and Extremes

India's agricultural output, economy, and societal well-being are strappingly dependent on the stability of summer monsoon rainfall, its variability and extremes. Spatial aggregate of intensity and frequency of extreme rainfall events over Central India are significantly increasing, while at local scale they are spatially non-uniform with increasing spatial variability. The reasons behind such ...

Trends in Rainfall Extremes

On spatial extremes: with application to a rainfall problem

We consider daily rainfall observations at 32 stations in the province of North Holland (The Netherlands) during 30 years. Let Q be the total rainfall in this area on one day. An important question is: what is the amount of rainfall Q that is exceeded once in 100 years? This is clearly a problem belonging to extreme value theory. Also it is a genuinely spatial problem. Recently, a theory of ext...

Lack of Dependence of Indian Summer Monsoon Rainfall Extremes on Temperature: An Observational Evidence

The intensification of precipitation extremes in a warming world has been reported on a global scale and is traditionally explained with the Clausius-Clapeyron (C-C) relation. The relationship is observed to be valid in mid-latitudes; however, the debate persists in tropical monsoon regions, with the extremes of the Indian Summer Monsoon Rainfall (ISMR) being a prime example. Here, we present a...