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spelling paper:paper_19391404_v8_n12_p5450_Ghazi2023-06-08T16:32:14Z CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation Aquarius/SAC-D Dicke microwave radiometer (MWR) nonlinearity Algorithms Calibration Climate change Earth (planet) Microwave devices Microwave measurement Microwave sensors NASA Radiometers Radiometry Research laboratories Surface waters Brightness temperatures Environmental measurements Global climate changes Microwave radiometers Naval Research Laboratory Radiometric calibrations Satellite radiometer Sea surface salinity Orbits algorithm brightness temperature microwave imagery model validation nonlinearity satellite data satellite imagery The Aquarius/SAC-D, International Earth Science Satellite Mission, is a collaboration between NASA and the Argentine Space Agency (Comisión Nacional de Actividades Espaciales, CONAE) that was launched on June 10, 2011 to provide scientists with monthly global maps of sea surface salinity (SSS) to understand the Earth's hydrological cycle and to investigate global climate change. This paper concerns the microwave radiometer (MWR), a CONAE science instrument developed to provide simultaneous and spatially collocated environmental measurements that complement the prime L-band radiometer/scatterometer sensor (Aquarius) for measuring SSS. MWR is a 3-channel (23.8-GHz H-pol and 36.5-GHz V-and H-pol) passive microwave instrument that measures the Earth's brightness temperature (Tb). This paper describes the MWR counts to Tb algorithm (V6.0) and presents results of the on-orbit Tb validation using intersatellite radiometric calibration with the Naval Research Laboratory's WindSat (WS) satellite radiometer. In addition, an alternative MWR counts to Tb algorithm (V7.0) is presented that normalizes the MWR Tbs to WS. This latter version (V7.0) has the advantage of removing MWR time-varying radiometric calibration biases between antenna beams and channels as verified by on-orbit comparisons with WS. © 2008-2012 IEEE. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v8_n12_p5450_Ghazi http://hdl.handle.net/20.500.12110/paper_19391404_v8_n12_p5450_Ghazi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Aquarius/SAC-D
Dicke microwave radiometer (MWR)
nonlinearity
Algorithms
Calibration
Climate change
Earth (planet)
Microwave devices
Microwave measurement
Microwave sensors
NASA
Radiometers
Radiometry
Research laboratories
Surface waters
Brightness temperatures
Environmental measurements
Global climate changes
Microwave radiometers
Naval Research Laboratory
Radiometric calibrations
Satellite radiometer
Sea surface salinity
Orbits
algorithm
brightness temperature
microwave imagery
model validation
nonlinearity
satellite data
satellite imagery
spellingShingle Aquarius/SAC-D
Dicke microwave radiometer (MWR)
nonlinearity
Algorithms
Calibration
Climate change
Earth (planet)
Microwave devices
Microwave measurement
Microwave sensors
NASA
Radiometers
Radiometry
Research laboratories
Surface waters
Brightness temperatures
Environmental measurements
Global climate changes
Microwave radiometers
Naval Research Laboratory
Radiometric calibrations
Satellite radiometer
Sea surface salinity
Orbits
algorithm
brightness temperature
microwave imagery
model validation
nonlinearity
satellite data
satellite imagery
CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation
topic_facet Aquarius/SAC-D
Dicke microwave radiometer (MWR)
nonlinearity
Algorithms
Calibration
Climate change
Earth (planet)
Microwave devices
Microwave measurement
Microwave sensors
NASA
Radiometers
Radiometry
Research laboratories
Surface waters
Brightness temperatures
Environmental measurements
Global climate changes
Microwave radiometers
Naval Research Laboratory
Radiometric calibrations
Satellite radiometer
Sea surface salinity
Orbits
algorithm
brightness temperature
microwave imagery
model validation
nonlinearity
satellite data
satellite imagery
description The Aquarius/SAC-D, International Earth Science Satellite Mission, is a collaboration between NASA and the Argentine Space Agency (Comisión Nacional de Actividades Espaciales, CONAE) that was launched on June 10, 2011 to provide scientists with monthly global maps of sea surface salinity (SSS) to understand the Earth's hydrological cycle and to investigate global climate change. This paper concerns the microwave radiometer (MWR), a CONAE science instrument developed to provide simultaneous and spatially collocated environmental measurements that complement the prime L-band radiometer/scatterometer sensor (Aquarius) for measuring SSS. MWR is a 3-channel (23.8-GHz H-pol and 36.5-GHz V-and H-pol) passive microwave instrument that measures the Earth's brightness temperature (Tb). This paper describes the MWR counts to Tb algorithm (V6.0) and presents results of the on-orbit Tb validation using intersatellite radiometric calibration with the Naval Research Laboratory's WindSat (WS) satellite radiometer. In addition, an alternative MWR counts to Tb algorithm (V7.0) is presented that normalizes the MWR Tbs to WS. This latter version (V7.0) has the advantage of removing MWR time-varying radiometric calibration biases between antenna beams and channels as verified by on-orbit comparisons with WS. © 2008-2012 IEEE.
title CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation
title_short CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation
title_full CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation
title_fullStr CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation
title_full_unstemmed CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On-Orbit Validation
title_sort conae microwave radiometer (mwr) counts to tb algorithm and on-orbit validation
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19391404_v8_n12_p5450_Ghazi
http://hdl.handle.net/20.500.12110/paper_19391404_v8_n12_p5450_Ghazi
_version_ 1768543394337914880