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Assimilation of atmospheric profiles from GNSS radio occultation using local Ensemble Transform Kalman Filter


The application of the GNSS (Global Navigation Satellite System), in particular the GPS (Global Positioning System), in the positioning of Low Earth Orbit (LEO) satellites enabled the use of the radio occultation technique for retrieval of temperature and humidity profiles in the atmosphere. The quality assessments of the first results were very promising, resulting in the launching of a constellation of LEO satellites dedicate exclusively for this application, named COSMIC (Constellation Observing System Meteorology, Ionosphere and Climate). The main objective of this constellation is the improvement of Numeric Weather Prediction (NWP) models, especially over polar and oceanic regions. In the main NWP centers this process is in development with exciting preliminary results. The main goal of this project is to investigate the impact of the assimilation of atmospheric profiles obtained from the COSMIC constellation in the CPTEC's NWP global model. We propose to use the data assimilation scheme, denominated Local Ensemble Transform Kalman Filter, is being implemented operationally at CPTEC. Better model initial conditions are expected with the assimilation of this new source of information in the CPTEC's NWP and consequently positive impacts in the quality of the weather forecasts at this center. (AU)

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