Technological and methodological progress is essential to improve our understanding of
fundamental processes in natural and engineering sciences. In this paper, we will address …

Climate change, air quality, and environmental degradation are important societal
challenges for the Twenty-first Century. These challenges require an intelligent response …

The advent of new data sets describing soil texture and associated soil properties offers the
promise of improved hydrological simulation. Here we describe the composition of a new …

Spatial water resource monitoring systems (SWRMS) can provide valuable information in
support of water management, but current operational systems are few and provide only a …

Hydrological scientists develop perceptual models of the catchments they study, using field
measurements and observations to build an understanding of the dominant processes …

Land surface models (LSMs) use a large cohort of parameters and state variables to
simulate the water and energy balance at the soil–atmosphere interface. Many of these …

Soil moisture plays a significant role in the global hydrological cycle, which is an important
component of soil parameterization. Remote sensing is one of the most important methods …

This paper reviews the conceptual problems limiting our current knowledge of the
hydrological cycle over land. We start from the premise that to understand the hydrological …

The objective of the study is to investigate the potential of retrieving superficial soil moisture
content (mv) from multi-temporal L-band synthetic aperture radar (SAR) data and hydrologic …

In situ soil moisture sensors provide highly accurate but very local soil moisture
measurements, while remotely sensed soil moisture is strongly affected by vegetation and …