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Franca G.B.,Federal University of Rio de Janeiro | Paes R.C.O.V.,Federal University of Rio de Janeiro | Oliveira A.N.,Fundacao ABC Pesquisa e Desenvolvimento Agropecuario FABC | Ruivo B.C.,Federal University of Rio de Janeiro | Sartori A.,Petrobras
Revista Brasileira de Geofisica | Year: 2013

A simple system for daily cloud free sea surface temperature (SST) composition based on thermal AVHRR and microwave TMI data is presented in this paper. Barnes' objective analysis is applied as an interpolator to merge these two data sources, which have different spatial and temporal resolutions in a daily SST composition and in a regular grid product. Three comparisons were carried out as follows. First, in situ SST (daily average) measurements from eleven PIRATA's (Prediction and Research Moored Array in the Tropical Atlantic) buoys were compared. The correlation coefficients results varied from 0.89 to 0.99, and RMSE, MAE and MBE values have not exceeded 0.57 for period from 2002 to 2010. Second, comparisons between daily SST composition and average daily in situ SST collected from twenty three drifting buoys for the period from May 2008 to October 2010. The statistics results are 0.94, 0.25, 0.19 and -0.002 for correlation, RMSE, MAE and MBE, respectively. Third, SST (daily average) time series generated by OSTIA project was compared. The temporal and spatial RMSE (considering the study area) values ranged from approximately 0.21°C to 1.50°C and its average was 0.47°C for the period from April 1st 2006 to December 31st 2010. Besides, an investigation about the influence of the data homogenization in the SST interpolation is discussed. Validation results are quite consistent (with SST composition accuracy less than 1.0°C). Thus, aiming to fulfill the numerical oceanographic model assimilation purposes and other oceanographic features studies, the developed SST product may be recommended as a candidate. © 2013 Sociedade Brasileira de Geofísica. Source

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