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dc.contributor.authorMcColl, Kaighin Alexander
dc.contributor.authorVogelzang, Jur
dc.contributor.authorKonings, Alexandra G.
dc.contributor.authorEntekhabi, Dara
dc.contributor.authorPiles Guillem, Maria
dc.contributor.authorStoffelen, Ad
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-05-09T09:56:29Z
dc.date.available2017-05-09T09:56:29Z
dc.date.issued2014-09-16
dc.identifier.citationMcColl, K., Vogelzang, J., Konings, A., Entekhabi, D., Piles, M., Stoffelen, A. Extended triple collocation: estimating errors and correlation coefficients with respect to an unknown target. "Geophysical research letters", 16 Setembre 2014, vol. 41, núm. 17, p. 6229-6236.
dc.identifier.issn0094-8276
dc.identifier.urihttp://hdl.handle.net/2117/104226
dc.description.abstractCalibration and validation of geophysical measurement systems typically require knowledge of the true value of the target variable. However, the data considered to represent the true values often include their own measurement errors, biasing calibration, and validation results. Triple collocation (TC) can be used to estimate the root-mean-square-error (RMSE), using observations from three mutually independent, error-prone measurement systems. Here, we introduce Extended Triple Collocation (ETC): using exactly the same assumptions as TC, we derive an additional performance metric, the correlation coefficient of the measurement system with respect to the unknown target, rho(t,Xi). We demonstrate that rho(2)(t,Xi) is the scaled, unbiased signal-to-noise ratio and provides a complementary perspective compared to the RMSE. We apply it to three collocated wind data sets. Since ETC is as easy to implement as TC, requires no additional assumptions, and provides an extra performance metric, it may be of interest in a wide range of geophysical disciplines.
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia
dc.subject.lcshSoil moisture--Measurement
dc.subject.lcshGeophysics
dc.subject.otherTriple collocation
dc.subject.otherSignal-to-noise ratio
dc.subject.otherModel validation
dc.subject.otherModel calibration
dc.subject.otherCorrelation coefficient
dc.subject.otherSoil-moisture
dc.subject.otherMicrowave observations
dc.subject.otherSurface temperature
dc.subject.otherAMSR-E
dc.subject.otherValidation
dc.subject.otherSatellite
dc.subject.otherRetrievals
dc.subject.otherAfrica
dc.subject.otherEurope
dc.subject.otherModel
dc.titleExtended triple collocation: estimating errors and correlation coefficients with respect to an unknown target
dc.typeArticle
dc.subject.lemacSòls -- Humitat -- Mesurament
dc.subject.lemacGeofísica
dc.identifier.doi10.1002/2014GL061322
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac15272936
dc.description.versionPostprint (published version)
local.citation.authorMcColl, K.; Vogelzang, J.; Konings, A.; Entekhabi, D.; Piles, M.; Stoffelen, A.
local.citation.publicationNameGeophysical research letters
local.citation.volume41
local.citation.number17
local.citation.startingPage6229
local.citation.endingPage6236


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