This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort,
funded by the European Space Agency, to serve as a centralised data hosting facility for …

Soil moisture (SM) is an essential parameter for understanding the interactions and
feedbacks between the atmosphere and the Earth's surface through energy and water …

Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …

This paper presents a community effort to develop good practice guidelines for the validation
of global coarse-scale satellite soil moisture products. We provide theoretical background, a …

Representing unresolved moist convection in coarse‐scale climate models remains one of
the main bottlenecks of current climate simulations. Many of the biases present with …

The fusion of active and passive microwave measurements is expected to provide more
robust surface soil moisture (SSM) map** across various environmental conditions …

Land–atmosphere (LA) interactions are a main driver of Earth's surface water and energy
budgets; as such, they modulate near-surface climate, including clouds and precipitation …

The terrestrial carbon and water cycles are strongly coupled. As atmospheric carbon dioxide
concentration increases, climate and the coupled hydrologic cycle are modified, thus …

Critical to the reliable application of gridded soil moisture products is a thorough assessment
of their quality at spatially compatible scales. While previous studies have attempted to …