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Assimilation of GNSS-R delay-Doppler maps into weather models
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2020
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Source: International Geoscience and Remote Sensing Symposium
[PDF-1.27 MB]
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Journal Title:International Geoscience and Remote Sensing Symposium
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Description:Global Navigation Satellite System Reflectometry (GNSS-R) observations from the Cyclone Global Navigation Satellite System (CYGNSS) mission are expected to improve numerical weather prediction (NWP) models. Level 1 GNSS-R observables, delay-Doppler maps (DDMs), contain information that is lost in producing the Level 2 wind speed retrievals at the specular point. DDMs could, therefore, prove to be a better observable for data assimilation. In this study, assimilation of GNSS-R DDMs into both global and regional NWP models is demonstrated. In the global case, DDM assimilation shows improvements on the European Centre for Medium-Range Weather Forecasts (ECMWF) background for one month of data. In the regional case, DDM assimilation shows its impact on the hurricane structure and intensity. Results using a two-dimensional variation analysis method (VAM) are presented. A plan for an Observation System Experiment (OSE) experiment is proposed.
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Source:International Geoscience and Remote Sensing Symposium
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ISBN:978-1-7281-6374-1;978-1-7281-6373-4;978-1-7281-6375-8;
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ISSN:2153-7003;2153-6996;
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Rights Information:Accepted Manuscript
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Compliance:Submitted
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