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Evaluating NOAA Satellite Products ¢•for Global Climate Monitoring / _/2

by• John J. Bates N 9 _I - 2 3_ (1'4"

NOAA Climate Monitoring and Disgnostics Laboratory

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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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https://ntrs.nasa.gov/search.jsp?R=19940019131 2018-08-26T08:50:28+00:00Z

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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The Fc)rward Problem

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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2.1.1. The JPL intercomparisonworkshops

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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



3. Lessons of history- Applications to the EOS era

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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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3.\ Lessons of history Appl the

EO_em validation3.1• We must._stablish long-term,

programs ba, ed'__ three prin_ ' es of validation

3.2. Both satellite and in must be subject torigorous quality control -. monitoring

-.3.3. Extend and the overlap periods of similar

instruments on t! satellites

3.4. Sampling / ?f most fields must extena'oyer severalEN.SO. cycl6s, since most fields show large i_rannualVarxabil)ty related to ENSO.

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