Stochastic weather generators: an overview of weather type models

P Ailliot, D Allard, V Monbet, P Naveau - Journal de la société …, 2015 - numdam.org
A recurrent issue encountered in environmental, ecological or agricultural impact studies in
which climate is an important driving force is to provide fast and realistic simulations of …

[HTML][HTML] Stationarity is undead: Uncertainty dominates the distribution of extremes

F Serinaldi, CG Kilsby - Advances in Water Resources, 2015 - Elsevier
The increasing effort to develop and apply nonstationary models in hydrologic frequency
analyses under changing environmental conditions can be frustrated when the additional …

Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency

SM Papalexiou - Advances in water resources, 2018 - Elsevier
Hydroclimatic processes come in all “shapes and sizes”. They are characterized by different
spatiotemporal correlation structures and probability distributions that can be continuous …

Large‐domain multisite precipitation generation: Operational blueprint and demonstration for 1,000 sites

SM Papalexiou, F Serinaldi… - Water Resources …, 2023 - Wiley Online Library
Stochastic simulations of spatiotemporal patterns of hydroclimatic processes, such as
precipitation, are needed to build alternative but equally plausible inputs for water‐related …

Stochastic generation of multi-site daily precipitation focusing on extreme events

G Evin, AC Favre, B Hingray - Hydrology and Earth System …, 2018 - hess.copernicus.org
Many multi-site stochastic models have been proposed for the generation of daily
precipitation, but they generally focus on the reproduction of low to high precipitation …

[HTML][HTML] The role of spatial dependence for large-scale flood risk estimation

AD Metin, NV Dung, K Schröter… - … Hazards and Earth …, 2020 - nhess.copernicus.org
Flood risk assessments are typically based on scenarios which assume homogeneous
return periods of flood peaks throughout the catchment. This assumption is unrealistic for …

Simulation of stochastic processes exhibiting any‐range dependence and arbitrary marginal distributions

I Tsoukalas, C Makropoulos… - Water Resources …, 2018 - Wiley Online Library
Hydrometeorological processes are typically characterized by temporal dependence, short‐
or long‐range (eg, Hurst behavior), as well as by non‐Gaussian distributions (especially at …

[PDF][PDF] Estimation of future precipitation conditions for Hungary with special focus on dry periods

R Pongrácz, J Bartholy, A Kis - Időjárás, 2014 - academia.edu
In this paper, estimated trends of precipitation-and drought-related climate indices and the
return period of the daily precipitation amount are analyzed. For this purpose 11 regional …

A blueprint for full collective flood risk estimation: Demonstration for European river flooding

F Serinaldi, CG Kilsby - Risk Analysis, 2017 - Wiley Online Library
Floods are a natural hazard evolving in space and time according to meteorological and
river basin dynamics, so that a single flood event can affect different regions over the event …

The devil Is in the tail dependence: an assessment of multivariate copula‐based frameworks and dependence concepts for coastal compound flood dynamics

RC Phillips, S Samadi, DB Hitchcock… - Earth's …, 2022 - Wiley Online Library
A hurricane event can often produce both intense rainfall and a storm tide that can cause a
major compound flooding threat to coastlines. This paper examined applications of …