Global and Regional Comparative Performance of Linear and Nonlinear Satellite Multichannel Sea Surface Temperature Algorithms

Abstract

This report summarizes investigations conducted at the Naval Research Laboratory on the accuracy of advanced very high resolution radiometer (AVHRR) satellite sea surface temperature (SST) retrieval techniques. Investigations focused on linear and nonlinear AVHRR atmospheric correction algorithms and their comparative performance relative to global drifting buoy in situ SST observations. Satellite retrievals were matched to drifting buoy SSTs within 2 hours and 10 km from January to December 1990. Emphasis was placed on the bias and root-mean-square difference (rmsd) statistical accuracy of each algorithm for various global regions, atmospheric conditions, and seasonal time periods. Results demonstrate that the nonlinear sea surface temperature (NLSST) algorithm provides consistently better bias and rmsd accuracy statistics relative to the other algorithms tested. Given these results, it is recommended that global satellite SST retrieval processing should utilize the NLSST algorithm for operational retrieval generation. Recommendations are also provided for future algorithm improvement investigations.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA270475

Entities

People

  • Douglas A. May

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Masses
  • Artificial Satellites
  • Atmospheric Attenuation
  • Climate Change
  • Data Sets
  • Equations
  • High Latitudes
  • High Resolution
  • Humidity
  • Latent Heat
  • Measurement
  • Military Research
  • Remote Sensing
  • Sea Surface Temperature
  • Solar Radiation
  • Surface Temperature
  • Water Vapor

Fields of Study

  • Environmental science

Readers

  • Approximation Theory.
  • Atmospheric Remote Sensing.
  • Polar and Arctic Studies

Technology Areas

  • Space