%0 Conference Proceedings
%4 dpi.inpe.br/sbsr@80/2008/11.11.18.01
%2 dpi.inpe.br/sbsr@80/2008/11.11.18.01.05
%@isbn 978-85-17-00044-7
%T Validação dos totais de água precipitável gerados a partir de perfis termodinâmicos recuperados pelo satélite GOES-10 sobre a região tropical da América do Sul
%D 2009
%A Gonçalves, Weber Andrade,
%A Costa, Simone Sievert da,
%A Rodrigues, Jurandir Ventura,
%A Souza, Rodrigo Augusto Ferreira de,
%A Angelis, Carlos Frederico de,
%@affiliation Instituto Nacional de Pesquisas Espaciais - INPE
%@affiliation Instituto Nacional de Pesquisas Espaciais - INPE
%@affiliation Instituto Nacional de Pesquisas Espaciais - INPE
%@affiliation Universidade do Estado do Amazonas - UEA
%@affiliation Instituto Nacional de Pesquisas Espaciais - INPE
%@electronicmailaddress weber.goncalves@cptec.inpe.br
%@electronicmailaddress simone.sievert@cptec.inpe.br
%@electronicmailaddress jurandir.rodrigues@cptec.inpe.br
%@electronicmailaddress souzaraf@gmail.com
%@electronicmailaddress carlos.angelis@cptec.inpe.br
%E Epiphanio, José Carlos Neves,
%E Galvão, Lênio Soares,
%B Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)
%C Natal
%8 25-30 abr. 2009
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 1669-1676
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%K retrieval, validation, precipitable water, recuperação, validação, água precipitável.
%X This paper presents the first validation of total precipitable water obtained from thermodynamic profiles generated by the GOES-10 satellite retrieval algorithm for South America. The validation is performed using the original covariance matrix, made by CIMSS, and with a new covariance matrix adapted to the weather conditions of South America tropical region. The dataset used was a total of 1095 radiosonde observations located in the South America tropical region at 00 and 12 UTC, as well as thermodynamic profiles from 12h forecasts of the Global Weather Forecast Model T213L42, used as firstguess, and upwelling radiances of 18 infrared channels from the GOES-10 satellite for the period from July to November 2007. The results obtained with the new covariance matrix were better than with the old one. RMSE (Root Mean Square Error) and Bias reduced reasonably from 5.7 and 1.2 to 4.1 and -0.3 mm respectively. On the other hand correlation coefficient between the precipitable water values from the GOES-10 and radiosonde increased considerable from 0.75 to 0.88. This study shows that the GOES-10 soundings are able to provide support for many meteorological fields, mainly supplying the lack of data from upper air observations in good time and space scales.
%9 Atmosfera
%@language pt
%3 1669-1676.pdf