Global space-time statistics of sea surface temperature estimated from AMSR-E data

K. Hosoda, H. Kawamura

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Sea surface temperature (SST) data of one year from Advanced Microwave Scanning Radiometer for EOS (AMSR-E) are used to estimate statistically spatial and temporal scales of the global SST field. Using anomalies from the climatological annual SST variation, correlation coefficients in the horizontal space and time are calculated. Decorrelation scales, defined as an e-folding scale of SST anomalies, and signal-to-noise ratio are derived as functions of regional positions and calendar months. We assumed that the autocorrelation function of SST anomaly has anisotropic Gaussian characteristics in space-time domain. We evaluated the space-time scales and statistical errors in the SST data by fitting Gaussian function to the correlation coefficients using a least square method. Resultant zonal, meridional and temporal decorrelation scales range 1.5-3.0 degree, 1.2-2.0 degree and 1.5-3 day, respectively. The scales show geographical and seasonal differences, which means that dominant SST variability in the global oceans depends on regions and seasons.

Original languageEnglish
Pages (from-to)L17202 1-5
JournalGeophysical Research Letters
Volume31
Issue number17
DOIs
Publication statusPublished - 2004 Sep 16

Keywords

  • 4299 Oceanography: General: General or miscellaneous
  • 4504 Oceanography: Physical: Air/sea interations (0312)
  • 4599 Oceanography: Physical: General or miscellaneous

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

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