Regularized calibration of a distributed hydrological model using available information about watershed properties and signature measures

Prafulla Pokhrel, Hoshin V. Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Physically-based distributed models are increasingly being used to predict the behaviour of hydrological processes in data-sparse regions. However, a model is a simplified representation of the real system and some form of calibration cannot be avoided. Because distributed models have large numbers of parameters to be specified, the resulting parameter estimation problem becomes ill conditioned. In this study we investigate a calibration approach teat uses: (a) a simple form of spatial regularization (using scalar multipliers) to reduce the dimension of the calibration problem, and (b) signature measures targeting specific behavioural response of a watershed system to guide the parameter search towards a more "hydrologically consistent" set of parameters. Signature measures are applied as "regularization constraints", in an approach that is functionally similar to "Tikhonov regularization", and which results in a better-conditioned optimization problem compared to the benchmark case. The approach is demonstrated for the Blue River Basin in Oklahoma, USA.

Original languageEnglish (US)
Title of host publicationNew Approaches to Hydrological Prediction in Data-sparse Regions
Pages20-25
Number of pages6
StatePublished - Dec 1 2009
EventSymposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences, IAHS and the International Association of Hydrogeologists, IAH - Hyderabad, India
Duration: Sep 6 2009Sep 12 2009

Publication series

NameIAHS-AISH Publication
Volume333
ISSN (Print)0144-7815

Other

OtherSymposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences, IAHS and the International Association of Hydrogeologists, IAH
CountryIndia
CityHyderabad
Period9/6/099/12/09

Keywords

  • Distributed hydrological model
  • Multicriteria optimization
  • Parameter estimation
  • Regularization

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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  • Cite this

    Pokhrel, P., & Gupta, H. V. (2009). Regularized calibration of a distributed hydrological model using available information about watershed properties and signature measures. In New Approaches to Hydrological Prediction in Data-sparse Regions (pp. 20-25). (IAHS-AISH Publication; Vol. 333).