Results 61 to 70 of about 4,460 (223)
Evaluating the Operational Application of SMAP for Global Agricultural Drought Monitoring
Over the past two decades, remote sensing has made possible the routine global monitoring of surface soil moisture. Regional agricultural drought monitoring is one of the most logical application areas for such monitoring.
Iliana E. Mladenova +6 more
doaj +1 more source
Control of Vegetation and Temperature on Topsoil Water Losses
Abstract Due to its location at the interface between land surface and atmosphere, soil moisture (SM) plays an important role in modulating energy, water and carbon fluxes. During periods of decreasing SM, SM loss is dependent on evapotranspiration (ET), drainage and changes in plant water storage. Investigating SM loss can give important insights into
Martin J. Baur +3 more
wiley +1 more source
Soil moisture‐air temperature coupling (SMTC) strength affects European summer air temperature variability. However, due to a lack of spatially extensive ground‐based soil moisture observations, General Circulation Model predictions of European‐mean SMTC
Jianzhi Dong, Wade T. Crow
doaj +1 more source
This article focuses on developing a data assimilation system that combines the modeled surface moisture estimates and satellite observations. Specifically, model states simulated by the Noah-MP land surface model are updated using an Ensemble Kalman ...
Tasnuva Rouf +3 more
doaj +1 more source
Fostering Application Opportunites for the NASA Soil Moisture Active Passive (SMAP) Mission [PDF]
The NASA Soil Moisture Active Passive (SMAP) Mission will provide global observations of soil moisture and freeze/thaw state from space. We outline how priority applications contributed to the SMAP mission measurement requirements and how the SMAP ...
Entekhabi, Dara +4 more
core +1 more source
Abstract Accurate rainfall information underpins land‐surface water budgets, extreme‐weather analyses, and climate‐model evaluation. Yet in many regions, rain gauge networks are sparse, making conventional calibration of bottom up rainfall products difficult. To address this, we propose a self calibration framework that removes the need for a dedicated
Mohammad Saeedi +4 more
wiley +1 more source
Data Assimilation to Extract Soil Moisture Information from SMAP Observations
This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations.
Jana Kolassa +11 more
doaj +1 more source
Abstract Many atmospheric chemical processes, including the formation of secondary organic aerosol (SOA), are strongly modulated by the reactions of NO and NO2NOx ${\text{NO}}_{2}\ \left({\text{NO}}_{x}\right)$. Though NOx ${\text{NO}}_{x}$ is controlled by anthropogenic emissions near urban areas, in rural areas soil microbes can be a significant ...
B. Gaudet +6 more
wiley +1 more source
Modeling soil moisture from rainfall: An evaluation of the diagnostic soil moisture equation
Abstract The diagnostic soil moisture equation (DSME), which estimates soil moisture from antecedent precipitation, can be used to gap‐fill and extend existing in situ records. We train and evaluate the DSME at 157 Soil Climate Analysis Network and 113 US Climate Reference Network (USCRN) stations across the contiguous United States.
Victoria A. Walker +4 more
wiley +1 more source
Abstract Surface soil moisture is essential for understanding energy exchange between land and atmosphere. Mesoscale modeling and remote sensing are two methods that can provide useful surface soil moisture information for helping characterize these exchanges.
Manh‐Hung Le +2 more
wiley +1 more source

