Algorithm for estimating sea surface temperatures based on Aqua/MODIS global ocean data. 1. Development and validation of the algorithm

Kohtaro Hosoda, Huiling Qin

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

An algorithm for estimating global sea surface temperatures (SST) from data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite has been developed empirically. Four atmospheric correction models for MODIS observations are examined, and the effects of ancillary data for corrections are discussed. A nonlinear (NLSST) model using high-temporal-resolution climatological SSTs as the first guess shows high accuracy and availability. The addition of a temperature-proportional term to the NLSST model effectively improves the estimate.

Original languageEnglish
Pages (from-to)135-145
Number of pages11
JournalJournal of Oceanography
Volume67
Issue number1
DOIs
Publication statusPublished - 2011 Feb

Keywords

  • Satellite observation
  • Sea surface temperature

ASJC Scopus subject areas

  • Oceanography

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