This dissertation presents the development of a prelaunch sea-surface temperature (SST) retrieval algorithm for the Advanced Microwave Scanning Radiometer (AMSR), and validation of the GSW and GSWP wind-speed algorithms for the Special Sensor Microwave Imager/Sounder (SSMIS). Prelaunch SST retrieval algorithm work includes the selection of buoys, the simulation of the AMSR measured brightness temperatures, the D-Matrix approach to the prelaunch SST algorithm, and the validation of D-matrix approach with SSM/I, TMI, AVHRR measurements. The validation of the wind speed algorithms (GSW and GSWP) for SSMIS includes building matchup sets and residual analysis. In addition, a nonlinear wind-speed algorithm based on Artificial Neural Network (ANN)...
Abstract. The National Oceanic and Atmospheric Administration (NOAA)/NASA Oceans Pathfinder sea surf...
NASA\u27s Sea Winds scatterometer, on Japan\u27s ADEOS-II satellite, is a special purpose radar remo...
Surface wind vector measurements over the oceans are vital for scientists and forecasters to underst...
This paper provides the description of an ocean wind speed retrieval algorithm developed for the SAC...
Calibration of the Defense Meteorological Space Program\u27s (DMSP) Special Sensor Microwave/Imager ...
ABSTRACT: Sea surface temperature (SST) is an important parameter used in many applications, such as...
Sea surface wind speed (SSW) is retrieved mainly from 37 GHz vertical (V) and horizontal (H) brightn...
We present an analysis of information content for sea surface temperature (SST) retrieval from the A...
We present an analysis of information content for sea surface temperature (SST) retrieval from the A...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
The correction of sea surface brightness temperature is crucial for improving the accuracy of sea su...
Abstract. The National Oceanic and Atmospheric Administration (NOAA)/NASA Oceans Pathfinder sea surf...
NASA\u27s Sea Winds scatterometer, on Japan\u27s ADEOS-II satellite, is a special purpose radar remo...
Surface wind vector measurements over the oceans are vital for scientists and forecasters to underst...
This paper provides the description of an ocean wind speed retrieval algorithm developed for the SAC...
Calibration of the Defense Meteorological Space Program\u27s (DMSP) Special Sensor Microwave/Imager ...
ABSTRACT: Sea surface temperature (SST) is an important parameter used in many applications, such as...
Sea surface wind speed (SSW) is retrieved mainly from 37 GHz vertical (V) and horizontal (H) brightn...
We present an analysis of information content for sea surface temperature (SST) retrieval from the A...
We present an analysis of information content for sea surface temperature (SST) retrieval from the A...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
Two machine learning (ML) models are investigated for retrieving sea surface temperature (SST) from ...
The correction of sea surface brightness temperature is crucial for improving the accuracy of sea su...
Abstract. The National Oceanic and Atmospheric Administration (NOAA)/NASA Oceans Pathfinder sea surf...
NASA\u27s Sea Winds scatterometer, on Japan\u27s ADEOS-II satellite, is a special purpose radar remo...
Surface wind vector measurements over the oceans are vital for scientists and forecasters to underst...