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Derivation and Validation of Sensor Brightness Temperatures for Advanced Microwave Sounding Unit-A Instruments
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2020
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Source: IEEE Transactions on Geoscience and Remote Sensing, 59(1),404 - 414
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Journal Title:IEEE Transactions on Geoscience and Remote Sensing
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Description:In this article, we first present a generalized methodology for deriving sensor brightness temperature sensor data records (SDR) from antenna temperature data records (TDR) applicable for Advanced Microwave Sounding Unit-A (AMSU-A) instruments. It includes corrections for antenna sidelobe contributions, antenna emission, and radiation perturbation due to the difference of Earth radiance in the main beam and that in the sidelobes that lie outside the main beam but within the Earth disk. For practical purposes, we simplify the methodology by neglecting the components other than the antenna sidelobe contributions to establish a consistent formulation with the legacy AMSU-A antenna pattern correction (APC) formula. The simplified formulation is then applied to the final AMSU-A instrument onboard the Metop-C satellite that was launched in November 2018, in order to compute APC coefficients for deriving SDR from TDR data. Furthermore, the performance of the calculated correction coefficients is validated by calculating the differences between the daily averaged AMSU-A (TDR and SDR) observations against radiative transfer model (O-B) simulations under clear sky conditions, and over open oceans. The validation results show that the derived temperature corrections are channel and scan position dependent, and can add 0.2-1.6 K to the antenna temperatures. In addition, the derived SDR O-B results exhibit a reduced and more symmetric scan angle-dependent bias when compared with corresponding TDR antenna temperatures.
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Content Notes:Funding from Fundref ID: 10.13039/100000192 NOAA Office of Projects, Planning, and Analysis (OPPA), for Metop-C AMSU-A
Includes award from NOAA Oceanic and Atmospheric Research (OAR) Climate Program Office (NOAA OAR Climate Program):
Award no. A10OAR4310088
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Source:IEEE Transactions on Geoscience and Remote Sensing, 59(1),404 - 414
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ISSN:0196-2892;1558-0644;
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Rights Information:Accepted Manuscript
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Compliance:Submitted
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