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1. Validation criteria for satellite products
2. Long-term global validation examples
3. Lessons of history - Applications to the EOS era
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1.1.
I. Validation criteria for satellite products
A_e t-he-_physics of the radiative transfer sound?
1.2. How do [he means and higher moments comparewith in situ measurements?
1.3. How do the spatial and temporal variations in thesatellite data comp-arewith ofherobservations andhydrodynamic models?
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The Forward.and Inverse Problems inRemote Sensing of the Environment
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Using radiative transfer theory and relavent geophysicalvariables, model the upwelling and scattered radiance thata particular instrument should measure
Interpreters- Required to specify a base state aroundwhich the radiative transfer equation is linearized
Class 1 A priori information dependentHydrodynamic model dependent
Class 2 A priori information dependentHydrodynamic model independent
Class 3 A priori information independentHydrodynamic model independent
The Inverse Problem
Using upwelling and scattered radiances, invert theradiative transfer equation to retrieve geophysical variables
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2. Long-term global validation examples
2.1. Sea surface temperature
2.1.1. The JPL intercomparisonworkshops
2.1.2. Evaluation of the operational MCSST product
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2.2.1. TOVS study conference comparisons
2.2.2. HIRS channel 12 brighmess temperatureclimatology
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2.1. Sea surface temperature
2.1.1. The JPL intercomparison workshops
2.1.2. Evaluation of the operational MCSST product
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• Evaluating NOAA Satellite Productsfor Global Climate Monitoring
byJohn J. Bates
NOAA Climate MoNt0_g and-Disgnostics Lab-oratory
1. Validation criteria for satellite products
2. Long-term global validation examples
3. Lessons of history- Applications to the EOS era
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1. Validation criteria for satellite products
1.1. Are the physics of the radiative transfer sound?
1.2. How do the means and higher moments comparewith in situ measurements?
1.3. How do the spatial and temporal variations in thesatellite data compare with other observations andhydrodynamic models?
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3. Lessons of history- Applications to theEOS era
3.1. We must establish long-term, global validationprograms based on the three principles Of validation
3.2. Both satellite and in situ data must be subject torigorous quality control and continuous monitoring
3.3. Extend and examine the overlap periods of similarinstruments on different satellites
3.4. Sampling of most fields must extend over severalENSO cycles, since most fields show large interannualvariability related to ENSO,
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