Assessing extremes in hydroclimatology: A review on probabilistic methods

SD Nerantzaki, SM Papalexiou - Journal of Hydrology, 2022 - Elsevier
Here we review methods used for probabilistic analysis of extreme events in
Hydroclimatology. We focus on streamflow, precipitation, and temperature extremes at …

[HTML][HTML] Deep graphical regression for jointly moderate and extreme Australian wildfires

D Cisneros, J Richards, A Dahal, L Lombardo, R Huser - Spatial Statistics, 2024 - Elsevier
Recent wildfires in Australia have led to considerable economic loss and property
destruction, and there is increasing concern that climate change may exacerbate their …

A comparison of moderate and extreme ERA‐5 daily precipitation with two observational data sets

P Rivoire, O Martius, P Naveau - Earth and Space Science, 2021 - Wiley Online Library
A comparison of moderate to extreme daily precipitation from the ERA‐5 reanalysis by the
European Centre for Medium‐Range Weather Forecasts against two observational gridded …

Statistical methods for extreme event attribution in climate science

P Naveau, A Hannart, A Ribes - Annual Review of Statistics and …, 2020 - annualreviews.org
Changes in the Earth's climate have been increasingly observed. Assessing the likelihood
that each of these changes has been caused by human influence is important for decision …

Regimes of precipitation change over Europe and the Mediterranean

J André, F d'Andrea, P Drobinski… - Journal of Geophysical …, 2024 - Wiley Online Library
The Mediterranean region is experiencing pronounced aridification and in certain areas
higher occurrence of intense precipitation. In this work, we analyze the evolution of the …

Modeling intensity‐duration‐frequency curves for the whole range of non‐zero precipitation: A comparison of models

A Haruna, J Blanchet, AC Favre - Water Resources Research, 2023 - Wiley Online Library
Abstract Intensity‐duration‐frequency (IDF) curves are useful in water resources
engineering for the planning and design of hydrological structures. As opposed to the …

Building up cyber resilience by better gras** cyber risk via a new algorithm for modelling heavy-tailed data

M Dacorogna, N Debbabi, M Kratz - European Journal of Operational …, 2023 - Elsevier
Cyber security and resilience are major challenges in our modern economies; this is why
they are top priorities on the agenda of governments, security and defense forces …

[HTML][HTML] A universal Standardized Precipitation Index candidate distribution function for observations and simulations

P Pieper, A Düsterhus, J Baehr - Hydrology and Earth System …, 2020 - hess.copernicus.org
Abstract The Standardized Precipitation Index (SPI) is a widely accepted drought index. Its
calculation algorithm normalizes the index via a distribution function. Which distribution …

Convection‐permitting climate models can support observations to generate rainfall return levels

B Poschlod, J Koh - Water Resources Research, 2024 - Wiley Online Library
Abstract Information about the frequency and intensity of extreme precipitation is generally
derived from fitting extreme value models using point‐observations, but the regionalization …

A flexible extended generalized Pareto distribution for tail estimation

P Gamet, J Jalbert - Environmetrics, 2022 - Wiley Online Library
For both financial and environmental applications, tail distributions often correspond to
extreme risks and an accurate modeling is mandatory. The peaks‐over‐threshold model is a …