Regional Calibration of Watershed Models

1. INTRODUCTION As watershed models become increasingly sophisticated and useful, there is a need to extend their applicability to locations where they cannot be calibrated or validated. It is only natural that as watershed models, computer technology and hydrometeorologic data sources continue to evolve, there will be an ever increasing need to apply watershed models where streamflow data is unavailable for calibration. Without streamflow data, a watershed model cannot be calibrated or validated, hence regional methods are needed which relate easily measured watershed characteristics to watershed model parameters. The focus of this chapter is on a review of the various approaches which have been taken for estimating watershed model parameters in situations when streamflow data is unavailable for model calibration and validation. In the past decade, there has been a significant increase in research relating to the regional calibration of watershed models to enable their use at ungauged sites. The increased importance of regional methods for estimating watershed model parameters is influenced by and related to the following emerging themes:

[1]  B. Bates,et al.  A Bayesian Approach to parameter estimation and pooling in nonlinear flood event models , 1999 .

[2]  W. Russell Hamon.  Estimating Potential Evapotranspiration , 1960 .

[3]  S. Howarth,et al.  Relationships between dynamic response characteristics and physical descriptors of catchments in England and Wales , 1998 .

[4]  Daniele Bocchiola,et al.  Review of recent advances in index flood estimation , 2003 .

[5]  Chong Xu,et al.  Testing the transferability of regression equations derived from small sub-catchments to a large area in central Sweden , 2003 .

[6]  Pao-Shan Yu,et al.  Using synthetic flow duration curves for rainfall–runoff model calibration at ungauged sites , 2000 .

[7]  R. Vogel,et al.  Annual hydroclimatology of the United States , 2000 .

[8]  Richard P. Hooper,et al.  Testing and validating environmental models , 1996 .

[9]  Eric F. Wood,et al.  Predicting the Discharge of Global Rivers , 2001, Journal of Climate.

[10]  Jery R. Stedinger,et al.  Regional hydrologic analysis: Ordinary and generalized least squares revisited , 1998 .

[11]  Neal M. Ashkanasy,et al.  Regional Parameters for the Sacramento Model: A Case Study , 1983 .

[12]  D. Burn.  An appraisal of the “region of influence” approach to flood frequency analysis , 1990 .

[13]  Keith Beven,et al.  Flood frequency estimation by continuous simulation for a catchment treated as ungauged (with uncertainty) , 2002 .

[14]  W. Alley.  Water Balance Models in One‐Month‐Ahead Streamflow Forecasting , 1985 .

[15]  A. Gustard,et al.  Low Flow Estimation in the United Kingdom , 1992 .

[16]  Chong-Yu Xu,et al.  Methodology and comparative study of monthly water balance models in Belgium, China and Burma , 1992 .

[17]  Anthony J. Jakeman,et al.  Predicting daily flows in ungauged catchments: model regionalization from catchment descriptors at the Coweeta Hydrologic Laboratory, North Carolina , 2003 .

[18]  C. T. Haan,et al.  Calibrating a water yield model for small ungaged watersheds , 1974 .

[19]  William M. Alley,et al.  On the Treatment of Evapotranspiration, Soil Moisture Accounting, and Aquifer Recharge in Monthly Water Balance Models , 1984 .

[20]  Vijay P. Singh,et al.  A Review on Monthly Water Balance Models for Water Resources Investigations , 1998 .

[21]  Günter Blöschl,et al.  Regionalisation of catchment model parameters , 2004 .

[22]  Ana P. Barros,et al.  Exploring the transferability of a land-surface hydrology model , 2002 .

[23]  George H. Taylor,et al.  The Prism Approach to Mapping Precipitation and Temperature , 1998 .

[24]  G. Vandewiele,et al.  Monthly water balance models for 55 basins in 10 countries , 1998 .

[25]  A. Sankarasubramanian,et al.  Validation of a watershed model without calibration , 2003 .

[26]  Alain Dezetter,et al.  Rainfall-runoff modelling and water resources assessment in northwestern Ivory Coast. Tentative extension to ungauged catchments , 1993 .

[27]  Zong-Liang Yang,et al.  The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:: 1. Experiment description and summary intercomparisons , 1998 .

[28]  J. R. Wallis.  Multivariate statistical methods in hydrology - a comparison using data of known functional relationship , 1965 .

[29]  C. Daly,et al.  A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .

[30]  R. Vogel,et al.  Regional calibration of a watershed model , 2000 .

[31]  Robert M. Hirsch,et al.  An evaluation of some record reconstruction techniques , 1979 .

[32]  Xu Liang,et al.  A transferability study of model parameters for the variable infiltration capacity land surface scheme , 2003 .

[33]  Rory Nathan,et al.  Identification of homogeneous regions for the purposes of regionalisation , 1990 .

[34]  Chong-Yu Xu,et al.  Estimation of Parameters of a Conceptual Water Balance Model for Ungauged Catchments , 1999 .

[35]  Donald H. Burn,et al.  Estimation of hydrological parameters at ungauged catchments , 1993 .

[36]  Rob Lamb,et al.  Confidence intervals for a spatially generalized, continuous simulation flood frequency model for Great Britain , 2004 .

[37]  M. Sivapalan.  Prediction in ungauged basins: a grand challenge for theoretical hydrology , 2003 .

[38]  G. Kuczera.  Efficient subspace probabilistic parameter optimization for catchment models , 1997 .

[39]  R. Allen,et al.  Evapotranspiration and Irrigation Water Requirements , 1990 .

[40]  J. Stedinger,et al.  Minimum variance streamflow record augmentation procedures , 1985 .

[41]  Dennis P. Lettenmaier,et al.  Development of regional parameter estimation equations for a macroscale hydrologic model , 1997 .

[42]  Richard M. Vogel,et al.  Regional geohydrologic‐geomorphic relationships for the estimation of low‐flow statistics , 1992 .

[43]  G. Vandewiele,et al.  Monthly water balance of ungauged catchments obtained by geographical regionalization , 1995 .

[44]  Shadrack Mwakalila,et al.  Estimation of stream flows of ungauged catchments for river basin management , 2003 .

[45]  R. Vogel,et al.  Estimation of baseflow recession constants , 1996 .

[46]  W. J. Shuttleworth,et al.  Parameter estimation of a land surface scheme using multicriteria methods , 1999 .

[47]  George Kuczera,et al.  Assessment of hydrologic parameter uncertainty and the worth of multiresponse data , 1998 .

[48]  A. Feldman,et al.  Evolution of Clark's Unit Graph Method to Spatially Distributed Runoff , 1998 .

[49]  Rob Lamb,et al.  RIVER FLOOD FREQUENCY ESTIMATION USING CONTINUOUS RUNOFF MODELLING. , 1999 .

[50]  Anthony J. Jakeman,et al.  Predicting the daily streamflow of ungauged catchments in S.E. Australia by regionalising the parameters of a lumped conceptual rainfall-runoff model , 1999 .

[51]  Anthony J. Jakeman,et al.  RELATIONSHIPS BETWEEN CATCHMENT ATTRIBUTES AND HYDROLOGICAL RESPONSE CHARACTERISTICS IN SMALL AUSTRALIAN MOUNTAIN ASH CATCHMENTS , 1996 .

[52]  A. Brath,et al.  Assessing the effectiveness of hydrological similarity measures for flood frequency analysis , 2001 .

[53]  Brian M. Reich,et al.  Unit hydrographs for catchments of different sizes and dissimilar regions , 1974 .

[54]  Yeou-Koung Tung,et al.  Regionalization of unit hydrograph parameters: 1. Comparison of regression analysis techniques , 1997 .

[55]  S. Sorooshian,et al.  Effective and efficient global optimization for conceptual rainfall‐runoff models , 1992 .

[56]  Gary D. Tasker.  Comparing Methods of Hydrologic Regionalization , 1982 .

[57]  David M. Wolock,et al.  STATSGO soil characteristics for the conterminous United States , 1997 .

[58]  V. O. Shanholtz,et al.  Estimating selected parameters for the Kentucky Watershed Model from watershed characteristics , 1976 .

[59]  B. Troutman,et al.  Regression Estimates for Topological-Hydrograph Input , 1988 .

[60]  J. D. Tarpley,et al.  The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system , 2004 .