Algorithm for estimating sea surface temperatures based on Aqua/MODIS global ocean data. 2. Automated quality check process for eliminating cloud contamination

Kohtaro Hosoda

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

This study developed a post-processing quality check (QC) process to eliminate cloud contamination in infrared sea surface temperature (SST) without manual handling. Cloudiness of a pixel was evaluated quantitatively, in which the graduated verifications and a comprehensive decision from a combination of several tests were conducted. Additionally, the quality of SST data at the pixel was measured by acceptable limits from reference SST, which were obtained from historical data. The QC processed data showed good accuracy below 0. 8°C, even in the near-cloud area. Before the QC, their accuracies including near-cloud areas were as poor as 2-5°C.

Original languageEnglish
Pages (from-to)791-805
Number of pages15
JournalJournal of Oceanography
Volume67
Issue number6
DOIs
Publication statusPublished - 2011 Dec 1

Keywords

  • Cloud screening
  • Post-processing quality check
  • Satellite observation
  • Sea surface temperature

ASJC Scopus subject areas

  • Oceanography

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