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

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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

Original languageEnglish (US)
JournalJournal of Geophysical Research
Volume96
Issue numberC10
StatePublished - 1991
Externally publishedYes

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sea surface temperature
Surface measurement
Radiometers
Temperature measurement
Satellites
infrared radiometers
Infrared radiation
Sensors
budgets
radiometer
temperature measurement
temperature gradients
sensor
intervals
Temperature
sensors
temperature
budget
in situ

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

Cite this

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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",
author = "Minnett, {Peter J}",
year = "1991",
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journal = "Journal of Geophysical Research: Oceans",
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N2 - 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

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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