Title :
Evaluation of the multichannel sea surface temperature algorithm along the Brazilian coast
Author_Institution :
Dept. de Fisica, Universidade do Rio Grande
Abstract :
The accuracy to which sea surface temperature (SST) can be estimated using satellite infrared radiometers is limited mainly by atmospheric contamination. This work reports an investigation on the global coefficients of the Multichannel Sea Surface Temperature (MCSST) algorithm along the Brazilian coast (8°N-36°S). MCSST data were evaluated for the period November 1981-December 1986 in conjunction with temperature data from the Comprehensive Ocean-Atmosphere Data Set (COADS). Monthly statistics of 2° bin between satellite and ship SST differences ranged from -3.44° to 2.84°C and mean differences from -0.18° to 9.47°C (standard deviation from 0.52° to 0.65°C). Interannual oscillations of the SST differences were observed along the western Atlantic Ocean and can be partly explained by the 1982-1983 El Nino event
Keywords :
infrared imaging; oceanographic regions; oceanographic techniques; radiometry; remote sensing; AD 1981 to 1986; Brazil; COADS; Comprehensive Ocean-Atmosphere Data Set; El Nino; IR method; MCSST; Multichannel Sea Surface Temperature; SST; accuracy; atmospheric effect; coast; global coefficients; infrared radiometry; interannual oscillation; measurement technique; monthly statistics; multichannel algorithm; ocean; remote sensing; satellite; sea surface temperature; Atmospheric measurements; Atmospheric waves; Marine vehicles; Ocean temperature; Radiometers; Satellite broadcasting; Sea measurements; Sea surface; Surface contamination; Temperature sensors;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399148
