Predictions of floods, droughts, and fast drought‐flood transitions are required at different
time scales to develop management strategies targeted at minimizing negative societal and …

Hydroclimatic extremes such as intense rainfall, floods, droughts, heatwaves, and wind or
storms have devastating effects each year. One of the key challenges for society is …

Increasing floods and droughts are raising concerns of an accelerating water cycle,
however, the relative contributions to streamflow changes from climate and land …

High-quality datasets are essential to support hydrological science and modeling. Several
CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist …

Long short-term memory (LSTM) models are recurrent neural networks from the field of deep
learning (DL) which have shown promise for time series modelling, especially in conditions …

Hydrological catchment models are important tools that are commonly used as the basis for
water resource management planning. In the 1960s and 1970s, the development of several …

Very large and comprehensive datasets are increasingly used in the field of hydrology.
Large-sample studies provide insights into the hydrological cycle that might not be available …

The distribution of flowmeter data and basin characteristic information exhibits substantial
disparities, with most flow observations being recorded at a limited number of well …

We present CAMELS-CH (Catchment Attributes and MEteorology for large-sample Studies-
Switzerland), a large-sample hydro-meteorological data set for hydrological Switzerland in …