Fresh water, despite being a renewable natural resource, is currently limited and scarce. Its
necessity for life and economic growth has led to permanent conflicts of interest. Social and …

Together with other “bottom‐up” methods, climate stress testing is becoming a prominent
approach for climate change impact assessment of water systems. Compared with …

This work presents a comprehensive assessment of the suitability of random forests, a well‐
known machine learning technique, for the statistical downscaling of precipitation. Building …

Urbanization and competing water demand, as well as rising temperatures and changing
weather patterns, are manifesting as gradual processes that increasingly challenge urban …

In this study we investigated the impact of climate change on nutrient loading in the
Cannonsville Reservoir watershed of the New York City (NYC) water supply system where …

Stochastic rainfall models have been widely used for hydrological modelling and climate
change impact studies, the accuracy of which can substantially affect the reliability of water …

Modelling the impact of climate change on streamflow for remote or data sparse regions is a
challenge for hydrologists, as large datasets are often needed to adequately characterise …

This study proposes a framework for the attribution analysis of urban flooding to historical
anthropogenic climate impacts using real (historical) and counterfactual (natural) …

Climate change will modify the spatiotemporal distribution of water resources in the future.
Snow availability in alpine systems plays an important role for water dependent ecosystems …

In order to more reasonably predict runoff under extreme precipitation and corresponding
meteorological conditions, and explore the influences of annual precipitation and extreme …