A Multistep Automatic Calibration Scheme for River Forecasting Models

Hogue, T. S.; Sorooshian, Soroosh; Gupta, Hoshin; Holz, Andrea; Braatz, Dean T.

doi:10.1175/1525-7541(2000)001<0524:amacsf>2.0.co;2

Cited by 138 publications

(111 citation statements)

References 24 publications

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“…Ten SAC-SMA and two SNOW-17 parameters are selected for calibration and associated parameter ranges (Table 2) based on previous studies and NWS documentation (Hogue et al 2000;Anderson 2002;Tang et al 2007;Steffens and Franz 2012). Initial hydrograph analysis indicates that the timing of the discharge peaks is quite accurate relative to the magnitude.…”

Section: Hl-rdhm Calibrationmentioning

confidence: 99%

Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

Spies

Franz

Hogue

et al. 2015

Journal of Hydrometeorology

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Satellite-derived potential evapotranspiration (PET) estimates computed from Moderate Resolution Imaging Spectroradiometer (MODIS) observations and the Priestley-Taylor formula (M-PET) are evaluated as input to the Hydrology Laboratory Research Distributed Hydrologic Model (HL-RDHM). The HL-RDHM is run at a 4-km spatial and 6-h temporal resolution for 13 watersheds in the upper Mississippi and Red River basins for 2003-10. Simulated discharge using inputs of daily M-PET is evaluated for all watersheds, and simulated evapotranspiration (ET) is evaluated at two watersheds using nearby latent heat flux observations. M-PETderived model simulations are compared to output using the long-term average PET values (default-PET) provided as part of theHL-RDHMapplication. In addition, uncalibrated and calibrated simulations are evaluated for both PET data sources. Calibrating select model parameters is found to substantially improve simulated discharge for both datasets. Overall average percent bias (PBias) and Nash-Sutcliffe efficiency (NSE) values for simulated discharge are better from the default-PET than the M-PET for the calibrated models during the verification period, indicating that the time-varying M-PET input did not improve the discharge simulation in theHL-RDHM. M-PET tends to produce higher NSE values than the default-PET for the Wisconsin and Minnesota basins, but lower NSE values for the Iowa basins. M-PET-simulated ET matches the range and variability of observed ET better than the default-PET at two sites studied and may provide potential model improvements in that regard. Rights © Copyright 2015 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS's permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or copyrights@ametsoc.org. Simulated discharge using inputs of daily M-PET is evaluated for all watersheds, and simulated evapotranspiration (ET) is evaluated at two watersheds using nearby latent heat flux observations. M-PET-derived model simulations are compared to output using the long-term average PET values (default-PET) provided as part of the HL-RDHM application. In addition, uncalibrated and calibrated simulations are evaluated for both PET data sources. Calibrating select model parameters is found to...

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Section: Hl-rdhm Calibrationmentioning

confidence: 99%

Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

Spies

Franz

Hogue

et al. 2015

Journal of Hydrometeorology

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“…In each calibration round, different objective functions can be used to give consideration to certain aspects of hydrological response mostly represented by a specific parameter. This is reported as a multistep automatic calibration scheme in Hogue et al (2000). The sequential order of parameters to be calibrated in each round can be based on hydrological judgment as well as the resulted response surface in the dotty plots of the objective function versus the parameter (Calver et al, 2005).…”

Section: Sequential Regressionmentioning

confidence: 99%

A review of regionalisation for continuous streamflow simulation

Bàrdossy

Zehe

2011

Hydrol. Earth Syst. Sci.

181

146

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Abstract. Research on regionalisation in hydrology has been constantly advancing due to the need for prediction of streamflow in ungauged catchments. There are two types of studies that use regionalisation techniques for ungauged catchments. One type estimates parameters of streamflow statistics, flood quantiles in most cases. The other type estimates parameters of a rainfall-runoff model for simulating continuous streamflow or estimates continuous streamflow without using a model. Almost all methods applied to the latter can be applied to the former. This paper reviews all methods that are applied to continuous streamflow estimation for ungauged catchments. We divide them into two general categories: (1) distance-based and (2) regression-based. Methods that fall within each category are reviewed first and followed with a discussion on merits or problems associated with these various methods.

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“…Previous studies have applied SNOW-17 in a lumped manner to individual watersheds (Hogue et al, 2000;Franz et al, 2008aFranz et al, , 2008b or in a distributed manner by modelling a large river basin as a set of smaller sub-watersheds (Shamir et al, 2006), with simulations focused on the past observational period. In these previous studies, watershed-specific SNOW-17 parameters are used.…”

Section: Introductionmentioning

confidence: 99%

21st century Wisconsin snow projections based on an operational snow model driven by statistically downscaled climate data

Notaro

Lorenz

Vimont

et al. 2011

Intl Journal of Climatology

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ABSTRACT:Output from the Climate Model Intercomparison Project Phase 3 (CMIP3) global climate models are statistically downscaled across Wisconsin, using a method that restores the observed mean, variance, and extremes of daily temperature and precipitation. The downscaled climate data for the late 20th century, mid-21st century, and late 21st-century is used to drive the National Weather Service operational snow model, SNOW-17, to produce high-resolution (0.1°× 0.1°) projections of daily snowfall, snow depth, and snow cover for Wisconsin. These snow projections will guide wildlife scientists in climate change impact studies and the development of adaptation strategies for the state, in addition to being of value to hydrologists, agricultural scientists, and other experts. SNOW-17 simulations suggest a dramatic shortening of the Wisconsin snow season, with the greatest snowfall and snow depth reductions in spring, particularly over northern Wisconsin. Snowfall is substantially reduced in response to projected warming and only slightly offset by a projected increase in cold-season precipitation. Percent reductions in snow depth are likely to be even more impressive than in snowfall, given not only a reduced frequency that falling precipitation will be in frozen form but also an enhanced snowmelt due to rising temperatures.

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A Multistep Automatic Calibration Scheme for River Forecasting Models

Cited by 138 publications

References 24 publications

Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

Distributed Hydrologic Modeling Using Satellite-Derived Potential Evapotranspiration

A review of regionalisation for continuous streamflow simulation

21st century Wisconsin snow projections based on an operational snow model driven by statistically downscaled climate data

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