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 …

Although a key driver of Earth's climate system, global land-atmosphere energy fluxes are
poorly constrained. Here we use machine learning to merge energy flux measurements from …

Anthropogenic warming is anticipated to increase soil moisture drought in the future.
However, projections are accompanied by large uncertainty due to varying estimates of …

The goal of this commentary is to critically evaluate the use of popular performance metrics
in hydrologic modeling. We focus on the Nash‐Sutcliffe Efficiency (NSE) and the Kling …

In this synthesis paper addressing hydrologic scaling and similarity, we posit that roadblocks
in the search for universal laws of hydrology are hindered by our focus on computational …

Abstract Climate Data Records of soil moisture are fundamental for improving our
understanding of long-term dynamics in the coupled water, energy, and carbon cycles over …

In 2022, Europe faced an extensive summer drought with severe socioeconomic
consequences. Quantifying the influence of human-induced climate change on such an …

Early 21st-century droughts in Europe have been broadly regarded as exceptionally severe,
substantially affecting a wide range of socio-economic sectors. These extreme events were …

Current state‐of‐the‐art models typically applied at continental to global scales (hereafter
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …

Drought is one of the main threats to food security and ecosystem productivity. During the
past decades, Europe has experienced a series of droughts that caused substantial …