Abstract CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate
dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except …

Accurate quantification of global land evapotranspiration is necessary for understanding
variability in the global water cycle, which is expected to intensify under climate change …

Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

Having recognized the limitations in spatial representativeness and/or temporal coverage of
(i) current ground ETa observations and (ii) land surface model‐and remote sensing‐based …

This study examines whether deep learning models can produce reliable future projections
of streamflow under warming. We train a regional long short‐term memory network (LSTM) …

An optimal use of the global scale actual evapotranspiration (AET) products for various
hydro-meteorological applications requires a systematic characterization of their …

Accurate high-resolution actual evapotranspiration (ET) and gross primary production (GPP)
information is essential for understanding the large-scale water and carbon dynamics …

Recent advancements in catchment hydrology (such as understanding catchment similarity,
accessing new data sources, and refining methods for parameter constraints) make it …

Twelve actual evaporation datasets are evaluated for their ability to improve the
performance of the fully distributed mesoscale Hydrologic Model (mHM). The datasets …

Evapotranspiration (ET) is a key variable in terrestrial water, energy and carbon cycles. ET
products have proliferated. This study evaluates ten monthly, globally available products …