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Uncertainty quantification for JPL retrievals

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dc.contributor.author Turmon, Michael
dc.contributor.author Braverman, Amy
dc.date.accessioned 2019-03-26T17:48:24Z
dc.date.available 2019-03-26T17:48:24Z
dc.date.issued 2019-02-01
dc.identifier.citation Jet Propulsion Laborary, Pasadena, CA, February 1, 2019 en_US
dc.identifier.uri http://hdl.handle.net/2014/45978
dc.description.abstract We define the notions of verification, validation, and uncertainty quantification (VVUQ), and place them in the context of retrievals of Earth science data. Uncertainty quantification (UQ) is the process of characterizing the uncertainty of a measurement system relative to the true, physical quantity it measures. UQ is needed when measurements are used for scientific inference, assimilated into models with other data, and used for decision-making and risk analysis. Many measurements come with measures of standard error and bias, but these uncertainty measures are often inaccurate, due to the operational need to assume crisp values for parameters which are in fact uncertain, as well as the failure of technical assumptions needed by operational error-estimation approaches. UQ provides a way to study which assumptions fail to hold, and a tool to improve the measurement. We describe a particular, broadly-applicable UQ setup that has been successful for JPL retrievals including OCO-2, and provide recommendations for furthering the UQ state of the practice at JPL. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019 en_US
dc.relation.ispartofseries ;JPL Pub 19-2
dc.subject validation en_US
dc.subject retrieval en_US
dc.subject measurement error en_US
dc.subject standard error en_US
dc.subject Uncertainty quantification en_US
dc.title Uncertainty quantification for JPL retrievals en_US
dc.type Technical Report en_US


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