Many of the scientific and societal challenges in understanding and preparing for global
environmental change rest upon our ability to understand and predict the water cycle …

Soil moisture is a key variable of the climate system. It constrains plant transpiration and
photosynthesis in several regions of the world, with consequent impacts on the water …

Advances in computational science offer a principled pipeline for predictive modeling of
cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and …

Abstract Earth System Models (ESMs) are essential tools for understanding and predicting
global change, but they cannot explicitly resolve hillslope‐scale terrain structures that …

Understanding freshwater fluxes at continental scales will help us better predict hydrologic
response and manage our terrestrial water resources. The partitioning of evapotranspiration …

Soil moisture is widely recognized as a key parameter in the mass and energy balance
between the land surface and the atmosphere and, hence, the potential societal benefits of …

This work advances a unified approach to process‐based hydrologic modeling to enable
controlled and systematic evaluation of multiple model representations (hypotheses) of …

This first paper of the two‐part series describes the objectives of the community efforts in
improving the Noah land surface model (LSM), documents, through mathematical …

Monitoring Earth's terrestrial water conditions is critically important to many hydrological
applications such as global food production; assessing water resources sustainability; and …

The main objective of this research is to develop, test and validate a soil moisture content
(SMC) algorithm for GMES Sentinel-1 characteristics. The SMC product, which is to be …