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Copyright © 2003 Published by Elsevier Science Ltd.
Use of TOMS data to correct
the saharan dust effects on SST retrievals from
, a, G. P. Podestá b, P. A. Hernández-Leal a and J. P. Diaz a
a Departamento de Fisica, Universidad de La Laguna, 38200 La Laguna, Canary
b Rosenstiel School of
Marine and Atmospheric Science, University of Miami, FL 33149, USA
Received 22 November 2002; Revised 13 March 2003; accepted 20 March
2003. Available online 13 February 2004.
High loads of
atmospheric aerosols introduce large errors in satellite-derived sea surface
temperature (SST) retrievals. Airborne plumes of desert dust from North Africa are the most evident
and persistent and cover large areas of the tropical Atlantic Ocean. We propose a
methodology to correct for Saharan dust effects on sea surface temperatures
derived from the AVHRR sensor. This method links SST errors in AVHRR estimates
with concentrations of absorbing atmospheric aerosols as estimated by the Earth
Probe Total Ozone Mapping Spectrometer (TOMS) Aerosol Index. Errors in the SST
algorithm increase with increasing aerosol index estimates. To avoid these
errors a correction term based on the TOMS aerosol index is incorporated to the
AVHRR SST algorithm.