Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

Growth in satellite observations and modelling capabilities has transformed drought
monitoring, offering near-real-time information. However, current monitoring efforts focus on …

Severe and persistent 21st-century drought in southwestern North America (SWNA)
motivates comparisons to medieval megadroughts and questions about the role of …

Remotely sensed evapotranspiration (ET) data offer strong potential to support data-driven
approaches for sustainable water management. However, practitioners require robust and …

Abstract The China Meteorological Forcing Dataset (CMFD) is the first high spatial-temporal
resolution gridded near-surface meteorological dataset developed specifically for studies of …

The emergence of flash drought has attracted widespread attention due to its rapid onset.
However, little is known about the recent evolution of flash droughts in terms of the speed of …

Predictions of hydrologic variables across the entire water cycle have significant value for
water resources management as well as downstream applications such as ecosystem and …

The lack of consistent, accurate information on evapotranspiration (ET) and consumptive
use of water by irrigated agriculture is one of the most important data gaps for water …

Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various
approaches exist, ranging from physically based over conceptual to fully data-driven …

Droughts occur naturally, but climate change has generally accelerated the hydrological
processes to make them set in quicker and become more intense, with many consequences …