Consequences of sea surface temperature variability on the validation and applications of satellite measurements

P. J. Minnett

doi:10.1029/91jc01816

Consequences of sea surface temperature variability on the validation and applications of satellite measurements

P. J. Minnett

Research output: Contribution to journal › Article › peer-review

61 Scopus citations

Abstract

Sea surface temperature (SST) measurements from both spaceborne and in situ sensors are analyzed to determine likely temperature differences that can arise between two measurements separated in space and time. It is shown that spatial separations of about 10km and time intervals of about 2 hours can introduce rms differences of 0.2 K into the error budget of a satellite validation data set, this being an upper limit for the meaningful validation of current infrared radiometers. -from Author

Original language	English (US)
Pages (from-to)	18,475-18,489
Journal	Journal of Geophysical Research
Volume	96
Issue number	C10
DOIs	https://doi.org/10.1029/91jc01816
State	Published - 1991
Externally published	Yes

ASJC Scopus subject areas

Geophysics
Forestry
Oceanography
Aquatic Science
Ecology
Water Science and Technology
Soil Science
Geochemistry and Petrology
Earth-Surface Processes
Atmospheric Science
Earth and Planetary Sciences (miscellaneous)
Space and Planetary Science
Palaeontology

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abstract = "Sea surface temperature (SST) measurements from both spaceborne and in situ sensors are analyzed to determine likely temperature differences that can arise between two measurements separated in space and time. It is shown that spatial separations of about 10km and time intervals of about 2 hours can introduce rms differences of 0.2 K into the error budget of a satellite validation data set, this being an upper limit for the meaningful validation of current infrared radiometers. -from Author",

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AB - Sea surface temperature (SST) measurements from both spaceborne and in situ sensors are analyzed to determine likely temperature differences that can arise between two measurements separated in space and time. It is shown that spatial separations of about 10km and time intervals of about 2 hours can introduce rms differences of 0.2 K into the error budget of a satellite validation data set, this being an upper limit for the meaningful validation of current infrared radiometers. -from Author

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