HR: 1400h
AN: IN33A-06    [Abstracts]
TI: Analisys, processing and validation data from eolic stations of SONDA project (National Organization System of Environmental Data) at Brazilian National Institute for Space Research (CPTEC/INPE) .
AU: * Junior, A b
EM: bomfin@cptec.inpe.br
AU: Nogueira, J M
EM: nogueira@cptec.inpe.br
AU: Garcia, s G
EM: silvia@cptec.inpe.br
AU: Andrade, E S
EM: eliana@cptec.inpe.br
class='hr'> AB: Asiel Bomfin Jr. LIM/CPTEC/INPE, Cachoeira Paulista, S.P., Brazil; Eliana Soares de Andrade; Jorge Luiz Martins Nogueira and Silvia Garcia de Castro. The Center for Weather Forecast and Climatic Analysis (CPTEC), a division of INPE, the Brazilian National Institute for Space Research. Several of the INPE´s departments and centers, like the CPTEC, have a variety of valuable datasets, many of them freely available and eolic data from SONDA project are also part of them at Meteorological Instrumental Laboratory (LIM). This paper presents the Analiys, processing and validation method applied to the eolic data in a temporal time of ten minutes, to be used in a PC IBM computer. This method is divided in tree separated programs. The first software called "separa.c" has the capability of divide the ingest data set in mensal files, identified by each station group. The second software called "minuto.c" does a syntactical analysis, verifying and correcting eventual lost data with NAN values. The third one called "validacode.c" generates two principal files, one containing the original data and the other with the codes of each variable for each minute analyzed. These codes is based on BSRN (Baseline Surface Radiation Network), but with some differences in their analyzed method. This method followed the Webmet.com, The Meteorological Resource Center. Table 1:Validation Codes Code Meaning 0 Quality check procedure is not avaiable for this level 2 The data is suspect 5 Quality check procedure is avaiable for this level, but not can be done 9 The data is correct Table 2: Validation levels for WIND SPEED: Validation Levels Quality check procedure for suspect data 0 Maximum and Minimum values of 25 m/s and 0 m/s 1 Can not vary more than 0,1 m/s for 03 consecutive hours 2 Can not vary more than 0,5 m/s for 12 consecutive hours 3 - Table 3: Validation levels for WIND DRECTION: Validation Levels Quality check procedure for suspect data 0 Maximum and Minimum values of 360 and 0 degrees 1 Can not vary more than 01 degree for 03 consecutive hours 2 Can not vary more than 10 degrees for 18 consecutive hours 3 - Table 4: Validation levels for TEMPERATURE: Validation Levels Quality check procedure for suspect data 0 Maximum and Minimum values of local data 1 Must vary more than 5 °C with reference to1 hour before 2 Can not vary more than 0, 5°C for 12 consecutive hours 3 - Output code examples according with the validation levels : Table 5: Output code examples Level 0 (Limit) Level 1 Level 2 Level 3 (final output) 0009 0029 0529 0529 0009 0099 0999 ou 0299 0999 ou 0299 0002 0052 0552 0552 6 Bibliographical references Stull, R. B., Introduction to Boundary Layer Meteorology, Dordrecht: Kluwer, 666 p, 1988. Vickers, D.; Mahrt, L. Quality control and flux sampling problems for tower and aircraft data. Journal of Atmospheric and Oceanic Technology, v. 14, n. 3, p. 512-526, June 1997.. 7 Electronical references National Organization System of Environmental Data Site http:www.cptec.inpe.br/~sonda/ The Meteorological Resource Center -Webmet.com Site http:www.webmet.com/
UR: http:lim.cptec.inpe.br
DE: 0394 Instruments and techniques
SC: Earth and Space Science Informatics [IN]
MN: 2007 Joint Assembly