An evaluation with the Fourier amplitude sensitivity test (FAST) of which land-surface parameters are of greatest importance in atmospheric modeling

D. C. Collins, R. Avissar

Research output: Contribution to journalArticlepeer-review

Abstract

The Fourier amplitude sensitivity test (FAST) used for this analysis determines the relative contribution of individual input parameters to the variance of energy fluxes resulting from a heterogeneous surface. By simultaneously varying all parameters according to their individual probability density functions, the number of computations needed is very much reduced by this technique. This analysis demonstrates that most of the variability of surface heat fluxes may be described by the distributions of relative stomatal conductance and surface roughness. Thus, the statistical-dynamical approach may be simplified by the use of only these two probability density functions. -from Authors

Original languageEnglish (US)
Pages (from-to)681-703
Number of pages23
JournalJournal of Climate
Volume7
Issue number5
DOIs
StatePublished - 1994
Externally publishedYes

ASJC Scopus subject areas

  • Atmospheric Science

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