Extreme precipitation in China: A review on statistical methods and applications

X Gu, L Ye, Q ** method
CR Rajulapati, SM Papalexiou - Earth and Space Science, 2023 - Wiley Online Library
Bias correction methods are used to adjust simulations from global and regional climate
models to use them in informed decision‐making. Here we introduce a semi‐parametric …

The response of three Mediterranean karst springs to drought and the impact of climate change

SD Nerantzaki, NP Nikolaidis - Journal of Hydrology, 2020 - Elsevier
Karst springs are the exclusive source of water during dry months for many Mediterranean
regions. The impact of climate change on the hydrology of Mediterranean karst springs has …

Nonstationary frequency analysis of extreme precipitation: Embracing trends in observations

G Anzolin, DY de Oliveira, JA Vrugt, A AghaKouchak… - Journal of …, 2024 - Elsevier
Abstract Knowledge of the recurrence intervals of precipitation extremes is vital for
infrastructure design, risk assessment, and insurance planning. However, trends and shifts …

Advancing space‐time simulation of random fields: From storms to cyclones and beyond

SM Papalexiou, F Serinaldi… - Water Resources …, 2021 - Wiley Online Library
Realistic stochastic simulation of hydro‐environmental fluxes in space and time, such as
rainfall, is challenging yet of paramount importance to inform environmental risk analysis …

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 …

Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity

G Papacharalampous, H Tyralis, SM Papalexiou… - Science of the Total …, 2021 - Elsevier
Hydroclimatic time series analysis focuses on a few feature types (eg, autocorrelations,
trends, extremes), which describe a small portion of the entire information content of the …