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Titolo:
Sensitivity analysis of a land surface scheme using multicriteria methods
Autore:
Bastidas, LA; Gupta, HV; Sorooshian, S; Shuttleworth, WJ; Yang, ZL;
Indirizzi:
Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721 USA Univ Arizona Tucson AZ USA 85721 & Water Resources, Tucson, AZ 85721 USA
Titolo Testata:
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
fascicolo: D16, volume: 104, anno: 1999,
pagine: 19481 - 19490
Fonte:
ISI
Lingua:
ENG
Soggetto:
ATMOSPHERE TRANSFER SCHEME; MODEL; CALIBRATION; PARAMETERS; STATISTICS; VEGETATION; SYSTEMS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
26
Recensione:
Indirizzi per estratti:
Indirizzo: Bastidas, LA Univ Arizona, Dept Hydrol & Water Resources, Tucson, AZ 85721USA Univ Arizona Tucson AZ USA 85721 urces, Tucson, AZ 85721 USA
Citazione:
L.A. Bastidas et al., "Sensitivity analysis of a land surface scheme using multicriteria methods", J GEO RES-A, 104(D16), 1999, pp. 19481-19490

Abstract

Attempts to model surface-atmosphere interactions with greater physical realism have resulted in complex land surface schemes (LSS) with large numbers of parameters. A companion paper describes a multicriteria calibration procedure for extracting plot-scale estimates of the preferred ranges of these parameters from the various observational data sets that are now available. A complementary procedure is presented in this paper that provides an objective determination of the multicriteria sensitivity of the modeled variables to the parameters, thereby allowing the number of calibration parameters and hence the computational effort to be reduced. Two case studies are reported for the BATS model using data sets of typical quality but very different location and climatological regime (ARM-CART and Tucson). The sensitivity results were found to be consistent with the physical properties of the different environments, thereby supporting the reasonableness of the model formulation. Further, when the insensitive parameters are omitted from the calibration process, there is little degradation in the quality of the model description and little change in the preferred range of the remaining parameters.

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Documento generato il 30/11/20 alle ore 00:47:18