How the Changing Passive Microwave Observing System Challenges the Development of Water Cycle Climate Data Records
No abstract available
Roberts, J. Brent↗
Engineering topics
Blankenship, Clay
Publications and source records attributed to Blankenship, Clay.
Impact of Dust Aerosols on Simulated Infrared Radiances Within the Community Radiative Transfer Model (CRTM)
No abstract available
Naeger, Aaron↗
Using Multi-Sensor Aerosol Optical Depth Retrievals to Improve Infrared Radiance Assimilation
No abstract available
Naeger, Aaron R.↗
Impact of SMAP Soil Moisture Assimilation on Numerical Weather Forecasts over the Contiguous United States and East Africa
No abstract available
Numerical Weather Prediction↗
Using Multi-Sensor Aerosol Optical Depth Retrievals to Improve Infrared Radiance Assimilation
Coarse dust aerosols absorb terrestrial radiation leading to significant longwave heating/cooling rates. Modules accounting for aerosol impacts on radiation have been implemented into CRTM framework, but operational centers continue to assume aerosol-free conditions when assimilating infrared radiances into NWP models. This assumption can introduce significant biases in analysis fields (temp, moisture, etc.), which can reduce forecast skill.
Naeger, Aaron↗
Impacts of Assimilating SMAP Soil Moisture Retrievals in the SPoRT Land Information System
No abstract available
Blankenship, Clay↗
Estimating Ocean Surface Meteorology from Passive Microwave Observations for the Development of Satellite-Derived Turbulent Fluxes
No abstract available
turbulent flux↗
SMAP Soil Moisture Retrieval Assimilation for Improved Weather Forecasting
No abstract available
Blankenship, Clay↗
SMAP Assimilation Impacts on Land Surface and Numerical Weather Prediction Models
No abstract available
data assimilation↗
Using Multi-Sensor Aerosol Optical Depth Retrievals to Improve Infrared Radiance Assimilation
No abstract available
and remote sensing↗
Mapping Drought with Satellite Remote Sensing and Land Surface Modeling
No abstract available
land surface modeling↗
Predicting Localized Flooding during the 2015 North Alabama Christmas Flood Event Using WRF-Hydro Simulated Streamflow
No abstract available
WRF-Hydro↗
Impacts of Real-Time Satellite-Derived Vegetation on WRF-Hydro Simulated Streamflow
No abstract available
Noah-MP↗
Hydrological Modeling and Data Assimilation Activities at NASA SPoRT
No abstract available
Data Assimilation↗
Assimilation of SMOS (and SMAP) Retrieved Soil Moisture into the Land Information System
Goal: Accurate, high-resolution (approx.3 km) soil moisture in near-real time. Situational awareness (drought assessment, flood and fire threat). Local modeling applications (to improve sfc-PBL exchanges) Method: Assimilate satellite soil moisture retrievals into a land surface model. Combines high-resolution geophysical model data with latest satellite observations.
land surface↗
Passive Microwave Remote Sensing of Surface Turbulent Fluxes: The Role of Clouds and Statistics
No abstract available
air-sea interaction↗