A long‐standing debate looks at whether air or soil dryness is more limiting to vegetation
water use and productivity. The answer has large implications for future ecosystem …

Flood disasters inflict extensive, serious damage on cities and society, significantly
constraining urban construction and development. There is an urgent demand to reduce …

Abstract In November 2021, the Artificial Intelligence for Earth System Predictability
(AI4ESP) workshop was held, which involved hundreds of researchers from dozens of …

Hydrological models are vital tools in environmental management. Weaknesses in model
robustness for hydrological parameters transfer uncertainties to the model outputs. For …

One of the major challenges in large‐domain hydrological modeling efforts lies in the
estimation of spatially distributed hydrological parameters while simultaneously accounting …

This paper presents a method to analyze and improve the set of equations constituting a
rainfall‐runoff model structure based on a combination of a data assimilation algorithm and …

Land surface models such as the Community Land Model version 5 (CLM5) seek to
enhance understanding of terrestrial hydrology and aid in the evaluation of anthropogenic …

In the context of global climate change and frequent extreme weather events, forecasting
future geospatial vegetation states under these conditions is of significant importance. The …

The expected change in rainfall patterns and the increase in evapotranspiration due to
climate change leads to earlier droughts, which aggravate water shortages. To ensure the …