Abstract Since the North American and Global Land Data Assimilation Systems (NLDAS and
GLDAS) were established in 2004, significant progress has been made in development of …

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 …

Irrigation is the largest human intervention in the water cycle that can modulate climate
extremes, yet irrigation water use (IWU) remains largely unknown in most regions …

The role of soil moisture in NWP has gained more attention in recent years, as studies have
demonstrated impacts of land surface states on ambient weather from diurnal to seasonal …

Vegetation optical depth (VOD) retrievals from passive microwave sensors provide analog
estimates of above-ground canopy biomass. This study presents the development and …

The impact of soil moisture initialization on the 2016 Northeast Asian heat wave was
explored using the Land Information System (LIS) Weather Research and Forecasting …

When initial soil moisture is perturbed among ensemble members in the operational NWS
global forecast model, surface latent and sensible fluxes are immediately affected much …

Data assimilation (DA) offers immense potential for uncertainty identification, improving the
initial estimates for hydrological and atmospheric modelling. This paper reviews the studies …

This study examines the impacts of assimilating Soil Moisture Active Passive (SMAP) L-band
brightness temperatures (TBs) on warm season short-range numerical weather prediction …

The interaction between the land surface and the atmosphere is a crucial driver of
atmospheric processes. Soil moisture and precipitation are key components in this …