We present an approach to estimate intensity–duration–frequency (IDF) curves based on
max-stable processes. The proposed method has been inspired by the seminal study of …

The effective management of flood risk and urban drainage design hinges on a
comprehensive understanding and accurate modeling of extreme rainfall variations …

Max-stable process (MSP) models can be fit to data collected over a spatial domain to
estimate areal-based exceedances while accounting for spatial dependence in extremes …

The recent contribution (Dieker and Mikosch, 2015) obtained representations of max-stable
stationary Brown–Resnick process ζ Z (t), t∈ R d with spectral process Z being Gaussian …

Detection and attribution of climate change plays a central role in establishing the causal
relationship between the observed changes in the climate and their possible causes …

India's complex topography and the increasing influence of climate change have
exacerbated the challenges of modeling 1-hour non-stationary extreme rainfall events. Prior …

Addressing spatial variation of extreme precipitation in urban areas is important for urban
hydrologic designs. Climatology of urban areas is, in general, different from that of its …

Due to climate change, the Iberian Peninsula is suffering an increasing trend of extreme
temperature events. The main objective of this study is to analyse this trends in frequency …

Abstract The Prairie region of Canada is an agriculture-intensive area and is strategic to
Canada's food security. Moisture deficit due to extreme temperatures leading to high …

ABSTRACT A statistical study was made of the temporal trend in extreme rainfall in the
region of Extremadura (Spain) during the period 1961–2009. A hierarchical spatio-temporal …