Hydrologic signatures are quantitative metrics or indices that describe statistical or
dynamical properties of hydrologic data series, primarily streamflow. Hydrologic signatures …

Large-sample hydrology (LSH) relies on data from large sets (tens to thousands) of
catchments to go beyond individual case studies and derive robust conclusions on …

2 Chapter 2 assesses observed large-scale changes in climate system drivers, key climate
indicators and 3 principal modes of variability. Chapter 3 considers model performance and …

Flowing waters have a unique role in supporting global biodiversity, biogeochemical cycles
and human societies,,,–. Although the importance of permanent watercourses is well …

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

Anthropogenic climate change is expected to affect global river flow. Here, we analyze time
series of low, mean, and high river flows from 7250 observatories around the world covering …

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

Compound events (CEs) are weather and climate events that result from multiple hazards or
drivers with the potential to cause severe socio-economic impacts. Compared with isolated …

Freshwater resources are of high societal relevance, and understanding their past variability
is vital to water management in the context of ongoing climate change. This study introduces …

The machine learning algorithm 'random forest'has been applied in many areas of water
resources research including discharge simulation. Due to low setup and operation cost …