Parameter regionalization of a monthly water balance model for the conterminous United States

被引:41
作者
Bock, Andrew R. [1 ]
Hay, Lauren E. [2 ]
McCabe, Gregory J. [2 ]
Markstrom, Steven L. [2 ]
Atkinson, R. Dwight [3 ]
机构
[1] US Geol Survey, Colorado Water Sci Ctr, Denver Fed Ctr, POB 25046,MS 415, Denver, CO 80225 USA
[2] US Geol Survey, Natl Res Program, Denver Fed Ctr, POB 25046,MS 413, Denver, CO 80225 USA
[3] US EPA, Off Water 4503T, 1200 Penn Ave, Washington, DC 20004 USA
关键词
COUPLED REACTION SYSTEMS; SENSITIVITY-ANALYSIS; UNGAUGED CATCHMENTS; RATE COEFFICIENTS; HYDROLOGIC MODEL; SWAT MODEL; CALIBRATION; UNCERTAINTIES; PRECIPITATION; VARIABILITY;
D O I
10.5194/hess-20-2861-2016
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A parameter regionalization scheme to transfer parameter values from gaged to ungaged areas for a monthly water balance model (MWBM) was developed and tested for the conterminous United States (CONUS). The Fourier Amplitude Sensitivity Test, a global-sensitivity algorithm, was implemented on a MWBM to generate parameter sensitivities on a set of 109 951 hydrologic response units (HRUs) across the CONUS. The HRUs were grouped into 110 calibration regions based on similar parameter sensitivities. Subsequently, measured runoff from 1575 streamgages within the calibration regions were used to calibrate the MWBM parameters to produce parameter sets for each calibration region. Measured and simulated runoff at the 1575 streamgages showed good correspondence for the majority of the CONUS, with a median computed Nash-Sutcliffe efficiency coefficient of 0.76 over all streamgages. These methods maximize the use of available runoff information, resulting in a calibrated CONUS-wide application of the MWBM suitable for providing estimates of water availability at the HRU resolution for both gaged and ungaged areas of the CONUS.
引用
收藏
页码:2861 / 2876
页数:16
相关论文
共 71 条
  • [1] Adjustment of global gridded precipitation for systematic bias
    Adam, JC
    Lettenmaier, DP
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D9)
  • [2] A comparison of similarity indices for catchment classification using a cross-regional dataset
    Ali, Genevieve
    Tetzlaff, Doerthe
    Soulsby, Chris
    McDonnell, Jeffrey J.
    Capell, Rene
    [J]. ADVANCES IN WATER RESOURCES, 2012, 40 : 11 - 22
  • [3] [Anonymous], GIS FEATURES GEOSPAT, DOI [10.5066/F7542KMD, DOI 10.5066/F7542KMD]
  • [4] [Anonymous], MONTHLY WATER BALANC
  • [5] [Anonymous], 2011, HYDROL PROCESS, V25, P2405, DOI [10.1002/hyp.8017, DOI 10.1002/HYP.8017]
  • [6] Accelerating advances in continental domain hydrologic modeling
    Archfield, Stacey A.
    Clark, Martyn
    Arheimer, Berit
    Hay, Lauren E.
    McMillan, Hilary
    Kiang, Julie E.
    Seibert, Jan
    Hakala, Kirsti
    Bock, Andrew
    Wagener, Thorsten
    Farmer, William H.
    Andreassian, Vazken
    Attinger, Sabine
    Viglione, Alberto
    Knight, Rodney
    Markstrom, Steven
    Over, Thomas
    [J]. WATER RESOURCES RESEARCH, 2015, 51 (12) : 10078 - 10091
  • [7] Arnold JG, 2012, T ASABE, V55, P1491
  • [8] Parameter estimation in distributed hydrological modelling: comparison of global and local optimisation techniques
    Blasone, R. -S.
    Madsen, H.
    Rosbjerg, Dan
    [J]. NORDIC HYDROLOGY, 2007, 38 (4-5) : 451 - 476
  • [9] Blodgett DavidL., 2011, Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration, DOI DOI 10.3133/0FR20111157
  • [10] BLOSCHL G, 1995, HYDROL PROCESS, V9, P251, DOI 10.1002/hyp.3360090305