Binayak P. Mohanty

TL;DR: In this paper, the authors describe the magnitude of the soil moisture upscaling problem and measurement density requirements for ground-based soil moisture networks, and summarize a number of existing soil moisture-upscaling strategies which may reduce the detrimental impact of spatial sampling errors on the reliability of satellite soil moisture validation using spatially sparse ground based observations.

TL;DR: In this article, the authors developed a numerical model in the HYDRUS-1D code that solves the coupled equations governing liquid water, water vapor, and heat transport, together with the surface water and energy balance, and provides flexibility in accommodating various types of meteorological information to solve the surface energy balance.

TL;DR: In this paper, daily surface soil moisture sampling at 90-140 locations were conducted in four fields in the Walnut Creek watershed, Iowa, where various combinations of soils, vegetation, and topography characterize the fields.

TL;DR: In this paper, a comparison of ground-based and remote sensing data showed that ESTAR footprint-average soil moisture was well calibrated for the LW03 pixel with sandy loam soil, rolling topography, and pasture land cover.

TL;DR: In this paper, the authors bring together hydrologists, critical zone scientists, and ESM developers to explore how hillslope structures may modulate ESM grid-level water, energy, and biogeochemical fluxes.