Results 71 to 80 of about 1,110 (203)
Influx of Bay of Bengal Waters and Stirring Trends in the Arabian Sea Based on Satellite Altimetry
Abstract Freshwater transport and stirring affect air–sea interactions in the Arabian Sea (AS). Using three decades of satellite‐based surface currents, this study examines (a) the volume influx of water masses into southeastern AS from the Bay of Bengal (BoB), and (b) horizontal stirring over seasonal to interannual timescales in the AS.
Nihar Paul +4 more
wiley +1 more source
Abstract Accurate regional air quality modeling is crucial for the development of effective air pollution mitigation plans. Precisely simulating meteorological conditions, especially planetary boundary layer (PBL) properties, is challenging due to complex land surface conditions.
Yueqi Jiang +7 more
wiley +1 more source
Evaluation of the Bayesian Downscaling Algorithm for Achieving Higher Resolution Soil Moisture Data
The NASA-launched Soil Moisture Active Passive satellite mission (SMAP) had the objective to globally characterize soil moisture with an intermediate resolution (9 km), through the integration of radar (3 km) and radiometer (36 km) observations. The SMAP
Xiaoling Wu, Jeffrey P. Walker, Nan Ye
doaj +1 more source
Soil Moisture Active/Passive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration Revisit: Approach and Performance [PDF]
Jinzheng Peng +9 more
openalex +1 more source
We evaluated the influence of environmental factors on detection probability of ring‐necked pheasant broods surveyed during roadside surveys across 11 states. Wind speed, cloud cover, morning dew conditions, and soil moisture influenced detection probabilities and should be the focus of methodological or statistical control in future landscape‐scale ...
Adam K. Janke +4 more
wiley +1 more source
Abstract This study advances the detection of ocean fronts in the Gulf of Mexico (GoM) by comparing traditional front detection algorithms with a machine learning model. Specifically, we evaluate the performance of three widely used methods, Canny Edge Detection (referred to as Canny), the Cayula‐Cornillon Algorithm (CCA) (referred to as CCA), and the ...
Ethan Cruz, Bulusu Subrahmanyam
wiley +1 more source
Rapid Flood Progress Monitoring in Cropland with NASA SMAP
Research in different agricultural sectors, including in crop loss estimation during flood and yield estimation, substantially rely on inundation information. Spaceborne remote sensing has widely been used in the mapping and monitoring of floods. However,
Md. Shahinoor Rahman +5 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
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
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

