IEEE Transactions on Geoscience and Remote Sensing · 2012 · 18 citations · 45 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceRemote SensingSatellite MeteorologyAtmospheric Sounding From SatellitesBias CorrectionPolar-orbiting Satellite MeteorologySatellite Data CalibrationSatellite InstrumentationSatellite SensorsAtmospheric Temperature ProfileBrightness Temperature MeasurementsCalibration TechniquesChannelsMeteorological InstrumentationPolar Orbiting Satellite DataPolar-orbiting Atmospheric SoundingTemperature Profile Retrieval
More than one decade of observations from the Advanced Microwave Sounding Unit-A (AMSU-A) onboard the polar-orbiting satellites NOAA-15 to NOAA-19 and European Meteorological Operational satellite program-A (MetOp-A) provide global information on atmospheric temperature profile, water vapor, cloud, precipitation, etc. However, a pronounced asymmetric cross-scan bias of the AMSU-A window channels was discovered, and it severely impacted water cycle product generation. Several approaches, including vicarious cold and hot reference calibration techniques, are applied to characterize the cross-scan bias. The bias pattern appears to be stable through several years of data examined from the same satellite but is quite different among those onboard the different NOAA (NOAA-15, NOAA-16, NOAA-17, NOAA-18, and NOAA-19) and EUMETSAT (MetOp-A) satellites. The scan bias may be caused by sensor polarization misalignment or cross-polarization, even after the radiance/brightness temperature data have been geocorrected with regard to geolocation and view angles. Based upon the characterization information, two-point and three-point correction approaches are proposed; both approaches provide promising results for AMSU-A window channels at brightness temperature level and product level and outperform the current operational correction approach, which is essentially a one-point correction. This serves as the first step toward a more stable fundamental and thematic climate data record to be used in hydrological and meteorological applications.
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