Modelling ungauged basins with the Sacramento model

Terri Hogue, Koray Yilmaz, Thorsten Wagener, Hoshin Vijai Gupta

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper evaluates two contrasting approaches to parameter estimation for ungauged basins using the US National Weather Service's SACramento Soil Moisture Accounting (SAC-SMA) model. An automatic calibration scheme (Multi-Step Automatic Calibration Scheme, MACS) provides deterministic parameter estimates using a three-step, multiple objective approach. The MACS estimates are then transferred to similar or "sister" watersheds for basins in the French MOPEX data set. Physically-based parameter estimates are also developed for the same basins based on the a priori approach of Koren et al. (2000). In general, the two methods, the transfer and the a priori approaches, show similar overall performance. Parameter estimates appear more consistent between basins using the a priori approach, but statistically the regionalized MACS parameters and the a priori parameters show very similar model performance for the three basins investigated in this study. Model simulated hydrographs are also very similar between the two methods, with both methods tending to underpredict most events (peak and volume) but matching the shape and pattern of flow well. However, both methods have worse performance than a calibrated model for the same basin, indicating the possibility for further refinement and adjustment of the techniques presented here.

Original languageEnglish (US)
Title of host publicationIAHS-AISH Publication
Pages159-168
Number of pages10
Edition307
StatePublished - 2006

Fingerprint

basin
modeling
calibration
hydrograph
soil moisture
parameter
watershed
weather
method

Keywords

  • Parameter estimation
  • Rainfall-runoff modelling
  • Regionalization
  • Sacramento model

ASJC Scopus subject areas

  • Water Science and Technology
  • Oceanography

Cite this

Hogue, T., Yilmaz, K., Wagener, T., & Gupta, H. V. (2006). Modelling ungauged basins with the Sacramento model. In IAHS-AISH Publication (307 ed., pp. 159-168)

Modelling ungauged basins with the Sacramento model. / Hogue, Terri; Yilmaz, Koray; Wagener, Thorsten; Gupta, Hoshin Vijai.

IAHS-AISH Publication. 307. ed. 2006. p. 159-168.

Research output: Chapter in Book/Report/Conference proceedingChapter

Hogue, T, Yilmaz, K, Wagener, T & Gupta, HV 2006, Modelling ungauged basins with the Sacramento model. in IAHS-AISH Publication. 307 edn, pp. 159-168.
Hogue T, Yilmaz K, Wagener T, Gupta HV. Modelling ungauged basins with the Sacramento model. In IAHS-AISH Publication. 307 ed. 2006. p. 159-168
Hogue, Terri ; Yilmaz, Koray ; Wagener, Thorsten ; Gupta, Hoshin Vijai. / Modelling ungauged basins with the Sacramento model. IAHS-AISH Publication. 307. ed. 2006. pp. 159-168
@inbook{b315203acf0440918eabc656c811cb1f,
title = "Modelling ungauged basins with the Sacramento model",
abstract = "This paper evaluates two contrasting approaches to parameter estimation for ungauged basins using the US National Weather Service's SACramento Soil Moisture Accounting (SAC-SMA) model. An automatic calibration scheme (Multi-Step Automatic Calibration Scheme, MACS) provides deterministic parameter estimates using a three-step, multiple objective approach. The MACS estimates are then transferred to similar or {"}sister{"} watersheds for basins in the French MOPEX data set. Physically-based parameter estimates are also developed for the same basins based on the a priori approach of Koren et al. (2000). In general, the two methods, the transfer and the a priori approaches, show similar overall performance. Parameter estimates appear more consistent between basins using the a priori approach, but statistically the regionalized MACS parameters and the a priori parameters show very similar model performance for the three basins investigated in this study. Model simulated hydrographs are also very similar between the two methods, with both methods tending to underpredict most events (peak and volume) but matching the shape and pattern of flow well. However, both methods have worse performance than a calibrated model for the same basin, indicating the possibility for further refinement and adjustment of the techniques presented here.",
keywords = "Parameter estimation, Rainfall-runoff modelling, Regionalization, Sacramento model",
author = "Terri Hogue and Koray Yilmaz and Thorsten Wagener and Gupta, {Hoshin Vijai}",
year = "2006",
language = "English (US)",
pages = "159--168",
booktitle = "IAHS-AISH Publication",
edition = "307",

}

TY - CHAP

T1 - Modelling ungauged basins with the Sacramento model

AU - Hogue, Terri

AU - Yilmaz, Koray

AU - Wagener, Thorsten

AU - Gupta, Hoshin Vijai

PY - 2006

Y1 - 2006

N2 - This paper evaluates two contrasting approaches to parameter estimation for ungauged basins using the US National Weather Service's SACramento Soil Moisture Accounting (SAC-SMA) model. An automatic calibration scheme (Multi-Step Automatic Calibration Scheme, MACS) provides deterministic parameter estimates using a three-step, multiple objective approach. The MACS estimates are then transferred to similar or "sister" watersheds for basins in the French MOPEX data set. Physically-based parameter estimates are also developed for the same basins based on the a priori approach of Koren et al. (2000). In general, the two methods, the transfer and the a priori approaches, show similar overall performance. Parameter estimates appear more consistent between basins using the a priori approach, but statistically the regionalized MACS parameters and the a priori parameters show very similar model performance for the three basins investigated in this study. Model simulated hydrographs are also very similar between the two methods, with both methods tending to underpredict most events (peak and volume) but matching the shape and pattern of flow well. However, both methods have worse performance than a calibrated model for the same basin, indicating the possibility for further refinement and adjustment of the techniques presented here.

AB - This paper evaluates two contrasting approaches to parameter estimation for ungauged basins using the US National Weather Service's SACramento Soil Moisture Accounting (SAC-SMA) model. An automatic calibration scheme (Multi-Step Automatic Calibration Scheme, MACS) provides deterministic parameter estimates using a three-step, multiple objective approach. The MACS estimates are then transferred to similar or "sister" watersheds for basins in the French MOPEX data set. Physically-based parameter estimates are also developed for the same basins based on the a priori approach of Koren et al. (2000). In general, the two methods, the transfer and the a priori approaches, show similar overall performance. Parameter estimates appear more consistent between basins using the a priori approach, but statistically the regionalized MACS parameters and the a priori parameters show very similar model performance for the three basins investigated in this study. Model simulated hydrographs are also very similar between the two methods, with both methods tending to underpredict most events (peak and volume) but matching the shape and pattern of flow well. However, both methods have worse performance than a calibrated model for the same basin, indicating the possibility for further refinement and adjustment of the techniques presented here.

KW - Parameter estimation

KW - Rainfall-runoff modelling

KW - Regionalization

KW - Sacramento model

UR - http://www.scopus.com/inward/record.url?scp=33845585505&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33845585505&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:33845585505

SP - 159

EP - 168

BT - IAHS-AISH Publication

ER -