AUTOMATIC CALIBRATION OF CONCEPTUAL CATCHMENT MODELS USING DERIVATIVE-BASED OPTIMIZATION ALGORITHMS.

Hoshin Vijai Gupta, Soroosh Sorooshian

Research output: Contribution to journalArticle

76 Citations (Scopus)

Abstract

A method is discussed for explicit computation of the derivatives based on an analysis of the modality of behavior present in such models. In the method the threshold structures are not replaced by smoothing functions, thereby preserving the conceptual integrity of these models. The discussion includes a theoretical analysis of a single linear reservoir (with threshold) model which provides some insights into the issue of the threshold parameter identifiability. Simulation study comparisons of the Newton (derivative based) and the Simplex (direct search) optimization algorithms indicate that the former is more efficient, especially when the number of parameters to be optimized is large.

Original languageEnglish (US)
Pages (from-to)473-485
Number of pages13
JournalWater Resources Research
Volume21
Issue number4
StatePublished - Apr 1985
Externally publishedYes

Fingerprint

Catchments
calibration
Calibration
catchment
Derivatives
smoothing
methodology
simulation
analysis
method
parameter
comparison

ASJC Scopus subject areas

  • Aquatic Science
  • Environmental Science(all)
  • Environmental Chemistry
  • Water Science and Technology

Cite this

AUTOMATIC CALIBRATION OF CONCEPTUAL CATCHMENT MODELS USING DERIVATIVE-BASED OPTIMIZATION ALGORITHMS. / Gupta, Hoshin Vijai; Sorooshian, Soroosh.

In: Water Resources Research, Vol. 21, No. 4, 04.1985, p. 473-485.

Research output: Contribution to journalArticle

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