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http://hdl.handle.net/10553/48693
Título: | Methodology to obtain accurate sea surface temperature from locally received NOAA-14 data in the Canary-Azores-Gibraltar area | Autores/as: | Eugenio González, Francisco Marcello, Javier Hernández-Guerra, Alonso Rovaris Romero, Eduardo |
Clasificación UNESCO: | 251007 Oceanografía física | Palabras clave: | Sea surface temperature Automatic georeferencing Cloud detection Split window function Océano, et al. |
Fecha de publicación: | 2001 | Publicación seriada: | Scientia Marina | Conferencia: | Workshop and Conference on Oceanography | Resumen: | A methodology to obtain the sea surface temperature (SST) in the Canary-Azores-Gibraltar area has beendeveloped. The final accuracy of the AVHRR-based SST retrievals depends both on the accuracy of the measured radianceand the accuracy of the SST retrieval algorithm that converts the measured radiance into sea surface temperature. The pro-cedure made in this framework consists of: (i) a radiance-based non-linearity correction method; (ii) an automatic procedurefor the geometric correction, achieving accuracy to the order of the pixel; (iii) an improved algorithm for cloud detection,based on the method of the multiband thresholds; (iv) a new split-window function (SWF) to perform atmospheric correc-tion in CANIGO area. This task has been accomplished by using the matchup data set of AVHRR brightness temperature(channel 4 and 5) and in situ SST data. The matchups were carefully screened from the HRPT scenes of all seasons in 1996-1998. The temporal and spatial coincidences are within 30 minutes and one pixel resolution, respectively. Coefficients ofthat algorithm are estimated from regression analysis using 60 co-located in situ and satellite measurements (matchups).Error analysis has shown that SST can theoretically be retrieved to within 0.38ºC RMS. | URI: | http://hdl.handle.net/10553/48693 | ISSN: | 0214-8358 | DOI: | 10.3989/scimar.2001.65s1127 | Fuente: | Scientia Marina [ISSN 0214-8358], v. 65 (Supl. 1), p. 127-137 |
Colección: | Artículos |
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