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- W4386985997 abstract "Abstract The Advanced Very High‐Resolution Radiometer (AVHRR) is a broad‐band, five channel scanner sensing in the visible, near infrared and thermal infrared portions of the electromagnetic spectrum. AVHRR instruments on‐board polar orbiting satellites have data records spanning 30 years. The radiances from the infra‐red channels of AVHRR have been directly assimilated over the ice‐free ocean in the NASA Goddard Earth Observing System (GEOS) since 2017 to constrain skin sea surface temperature (SST). The GEOS system already uses an advanced bulk sea surface temperature (SST) and a skin SST model which incorporates diurnal warming and cool skin temperature on the surface of the ocean. The positive contribution of this effort on the Numerical Weather Prediction (NWP) makes it desirable to extend the skin SST data assimilation procedure to reanalysis applications. The AVHRR data from platforms that were previously unexplored for NWP applications are assimilated at the Global Modeling and Assimilation Office (GMAO) at NASA, for an upcoming reanalysis project. This study uses results from reanalysis experiments to assess the impact of assimilating AVHRR radiances over open ocean on the atmospheric state variables, focusing on the analyzed skin temperatures that include active skin SST model. It is demonstrated that including the skin temperature variations in atmospheric analysis is generally beneficial. The addition of radiance measurements from AVHRR provides further improvements to the overall reanalysis system performance. by helping to correct the diurnal heating and reducing errors in the background departure of hyperspectral radiance observations, which are an essential component of atmospheric reanalyses. This article is protected by copyright. All rights reserved." @default.
- W4386985997 created "2023-09-24" @default.
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- W4386985997 date "2023-09-23" @default.
- W4386985997 modified "2023-10-18" @default.
- W4386985997 title "Direct Assimilation of <scp>AVHRR</scp> Satellite Radiance measurements in a Reanalysis System" @default.
- W4386985997 doi "https://doi.org/10.1002/qj.4583" @default.
- W4386985997 hasPublicationYear "2023" @default.
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