Accurate prediction of soil moisture in a land surface model (LSM) is critical in improving land surface and atmosphere interactions in the atmospheric general circulation models used in numerical weather prediction and global climate models. Gravity is a relatively new source of remotely sensed data, available since the launch of the twin Gravity Recovery And Climate Experiment (GRACE) satelli...

Soil moisture monitoring and characterization of the spatial and temporal variability of this hydrologic parameter at scales from small catchments to large river basins continues to receive much attention, reflecting its critical role in subsurface-land surface-atmospheric interactions and its importance to drought analysis, irrigation planning, crop yield forecasting, flood protection, and for...

Reliable estimation of hydrological soil moisture state is of critical importance in operational hydrology to improve the flood prediction and hydrological cycle description. Although there have been a number of soil moisture products, they cannot be directly used in hydrological modelling. This paper attempts for the first time to build a soil moisture product directly applicable to hydrology ...

In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP’s sensor configurations using the radiative transfer model with a wide range of conditions for surface soil moisture, roughness and vegetation properties that we considered as ...

Soil moisture governs the surface fluxes of mass and energy and is a major influence on floods and drought. Existing techniques measure soil moisture either at a point or over a large area many kilometers across. To bridge these two scales we used the cosmic-ray rover, an instrument similar to the recently developed COSMOS probe, but bigger and mobile. This paper explores the challenges and opp...

[1] Characterization of the space-time variability of soil moisture is important for land surface and climate studies. Here we develop an analytical model to investigate how, at the dry-end of the soil moisture range, the main characteristics of the soil moisture field (spatial mean and variability, steady state distribution) depend on the intermittent character of low intensity rain storms. Ou...

[1] This study presents a systematic and integrated analysis of the sensitivity of the available satellite observations to in situ soil moisture measurements. Although none of these satellites is optimized for land surface characterization, before the launches of the SMOSand HYDROS-dedicated missions they are the only potential sources of global soil moisture measurements. The satellite observa...

Spatial and temporal variation in soil moisture plays a significant role in establishing efficient irrigation scheduling, climate change prediction, and sustainable land and water management. Passive microwave remote sensing at L-band is widely recognised as the preferred technique to measure surface soil moisture globally, with spatial resolution ranging from 40-100km. However, passive microwa...