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

Grant number: 10/15974-2
Support type:Regular Research Grants
Duration: January 01, 2011 - June 30, 2013
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Principal Investigator:Luiz Fernando Sapucci
Grantee:Luiz Fernando Sapucci
Home Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). São José dos Campos , SP, Brazil
Assoc. researchers:Luis Gustavo Gonçalves de Gonçalves ; Solange Silva de Souza

Abstract

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)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SAPUCCI, LUIZ F.; DINIZ, FABIO L. R.; BASTARZ, CARLOS F.; AVANCO, LUCAS A. Inclusion of Global Navigation Satellite System radio occultation data into Center for Weather Forecast and Climate Studies Local Ensemble Transform Kalman Filter (LETKF) using the Radio Occultation Processing Package as an observation operator. METEOROLOGICAL APPLICATIONS, v. 23, n. 2, p. 328-338, APR 2016. Web of Science Citations: 1.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.