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Volumn 380, Issue 3-4, 2010, Pages 489-496

Response to Comment on "Two statistics for evaluating parameter identifiability and error reduction"

Author keywords

[No Author keywords available]

Indexed keywords

ERROR CORRECTION; HYDROLOGICAL MODELING; PARAMETERIZATION; STATISTICAL ANALYSIS;

EID: 72249100800     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.10.012     Document Type: Note
Times cited : (17)

References (29)
  • 2
    • 0027788553 scopus 로고
    • Prophecy, reality and uncertainty in distributed hydrological modeling
    • Beven K. Prophecy, reality and uncertainty in distributed hydrological modeling. Advances in Water Resources 16 (1993) 41-51
    • (1993) Advances in Water Resources , vol.16 , pp. 41-51
    • Beven, K.1
  • 3
    • 40649102862 scopus 로고    scopus 로고
    • Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration
    • Christensen S., and Doherty J. Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration. Advances in Water Resources 31 4 (2008) 674-700
    • (2008) Advances in Water Resources , vol.31 , Issue.4 , pp. 674-700
    • Christensen, S.1    Doherty, J.2
  • 7
    • 60249091545 scopus 로고    scopus 로고
    • Two statistics for evaluating parameter identifiability and error reduction
    • Doherty J., and Hunt R.J. Two statistics for evaluating parameter identifiability and error reduction. Journal of Hydrology 366 (2009) 119-127
    • (2009) Journal of Hydrology , vol.366 , pp. 119-127
    • Doherty, J.1    Hunt, R.J.2
  • 8
    • 0038036700 scopus 로고    scopus 로고
    • Methodologies for calibration and predictive analysis of a watershed model
    • Doherty J., and Johnston J.M. Methodologies for calibration and predictive analysis of a watershed model. Journal of American Water Resources Association 39 2 (2003) 251-265
    • (2003) Journal of American Water Resources Association , vol.39 , Issue.2 , pp. 251-265
    • Doherty, J.1    Johnston, J.M.2
  • 9
    • 70349778650 scopus 로고    scopus 로고
    • Obtaining parsimonious hydraulic conductivity fields using head and transport observations: a Bayesian geostatistical parameter estimation approach
    • 10.1029/2008WR007431
    • Fienen M.N., Hunt R.J., Krabbenhoft D.P., and Clemo T. Obtaining parsimonious hydraulic conductivity fields using head and transport observations: a Bayesian geostatistical parameter estimation approach. Water Resource Research 45 (2009) W08405 10.1029/2008WR007431
    • (2009) Water Resource Research , vol.45
    • Fienen, M.N.1    Hunt, R.J.2    Krabbenhoft, D.P.3    Clemo, T.4
  • 10
    • 70349760396 scopus 로고    scopus 로고
    • On constraining pilot point calibration with regularization in PEST
    • 10.1111/j.1745-6584.2009.00579
    • Fienen M.N., Muffles C.T., and Hunt R.J. On constraining pilot point calibration with regularization in PEST. Ground Water (2009) 10.1111/j.1745-6584.2009.00579
    • (2009) Ground Water
    • Fienen, M.N.1    Muffles, C.T.2    Hunt, R.J.3
  • 11
    • 72249090574 scopus 로고    scopus 로고
    • Fienen, M.N., Doherty, J., Hunt, R.J., and Reeves, H.W., submitted for publication. Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes Water Availability Pilot Project. US Geological Survey Scientific Investigation Report in preparation.
    • Fienen, M.N., Doherty, J., Hunt, R.J., and Reeves, H.W., submitted for publication. Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes Water Availability Pilot Project. US Geological Survey Scientific Investigation Report in preparation.
  • 12
    • 33846581374 scopus 로고    scopus 로고
    • Predictive error analysis for a water resource management model
    • Gallagher M., and Doherty J. Predictive error analysis for a water resource management model. Journal of Hydrology 34 3-4 (2007) 513-533
    • (2007) Journal of Hydrology , vol.34 , Issue.3-4 , pp. 513-533
    • Gallagher, M.1    Doherty, J.2
  • 13
    • 72249116457 scopus 로고    scopus 로고
    • Hill, M.C., 2006. Observation errors and highly parameterized models. Eos Transactions American Geophysical Union 87, no. 52. Fall Meeting Supplement, Abstract H31F-06.
    • Hill, M.C., 2006. Observation errors and highly parameterized models. Eos Transactions American Geophysical Union 87, no. 52. Fall Meeting Supplement, Abstract H31F-06.
  • 14
    • 72249084276 scopus 로고    scopus 로고
    • Quantifying groundwater model uncertainty
    • Fall meeting
    • Hill, M.C., 2007. Quantifying groundwater model uncertainty, EOS Transactions AGU Fall 2007 meeting. .
    • (2007) EOS Transactions AGU
    • Hill, M.C.1
  • 15
    • 55249094076 scopus 로고    scopus 로고
    • Data error and highly parameterized groundwater models
    • Refsgaard J.C., Kovar K., Haarder E., and Nygaard E. (Eds), IAHS Publ. 320, Copenhagen, Denmark: IAHS
    • Hill M.C. Data error and highly parameterized groundwater models. In: Refsgaard J.C., Kovar K., Haarder E., and Nygaard E. (Eds). Calibration and Reliability in Groundwater Modeling: Credibility of Modeling (2008), IAHS Publ. 320, Copenhagen, Denmark: IAHS 316-321
    • (2008) Calibration and Reliability in Groundwater Modeling: Credibility of Modeling , pp. 316-321
    • Hill, M.C.1
  • 17
    • 72249092033 scopus 로고    scopus 로고
    • Good fit, error-based observation weights, and sensitivity analysis
    • Tucson, AZ, April 21
    • Hill, M.C., 2009. Good fit, error-based observation weights, and sensitivity analysis. National Ground Water Summit, Tucson, AZ, April 21, 2009.
    • (2009) National Ground Water Summit
    • Hill, M.C.1
  • 18
    • 72249111076 scopus 로고    scopus 로고
    • Comment on "Two statistics for evaluating parameter identifiability and error reduction" by John Doherty and Randall J. Hunt
    • Hill M.C. Comment on "Two statistics for evaluating parameter identifiability and error reduction" by John Doherty and Randall J. Hunt. Journal of Hydrology 380 3-4 (2010) 481-488
    • (2010) Journal of Hydrology , vol.380 , Issue.3-4 , pp. 481-488
    • Hill, M.C.1
  • 19
    • 0142245530 scopus 로고    scopus 로고
    • Determining extreme parameter correlation in ground water models
    • Hill M.C., and Østerby O. Determining extreme parameter correlation in ground water models. Ground water 41 4 (2003) 420-430
    • (2003) Ground water , vol.41 , Issue.4 , pp. 420-430
    • Hill, M.C.1    Østerby, O.2
  • 21
    • 34247622291 scopus 로고    scopus 로고
    • Are models too simple? Arguments for increased parameterization
    • Hunt R.J., Doherty J., and Tonkin M.J. Are models too simple? Arguments for increased parameterization. Ground Water 45 3 (2007) 254-262
    • (2007) Ground Water , vol.45 , Issue.3 , pp. 254-262
    • Hunt, R.J.1    Doherty, J.2    Tonkin, M.J.3
  • 22
    • 0021644815 scopus 로고
    • Tutorial a review of least-squares inversion and its application to geophysical problems
    • Lines L.R., and Treitel S. Tutorial a review of least-squares inversion and its application to geophysical problems. Geophysical Prospecting 32 2 (1984) 159-186
    • (1984) Geophysical Prospecting , vol.32 , Issue.2 , pp. 159-186
    • Lines, L.R.1    Treitel, S.2
  • 24
    • 20844435676 scopus 로고    scopus 로고
    • The role of the calibration process in reducing model predictive error
    • Moore C., and Doherty J. The role of the calibration process in reducing model predictive error. Water Resources Research 41 5 (2005) W05050
    • (2005) Water Resources Research , vol.41 , Issue.5
    • Moore, C.1    Doherty, J.2
  • 25
    • 31644442912 scopus 로고    scopus 로고
    • The cost of uniqueness in groundwater model calibration
    • Moore C., and Doherty J. The cost of uniqueness in groundwater model calibration. Advances in Water Resources 29 4 (2006) 605-623
    • (2006) Advances in Water Resources , vol.29 , Issue.4 , pp. 605-623
    • Moore, C.1    Doherty, J.2
  • 26
    • 28244473669 scopus 로고    scopus 로고
    • A hybrid regularized inversion methodology for highly parameterized environmental models
    • 10.1029/2005WR003995
    • Tonkin M.J., and Doherty J. A hybrid regularized inversion methodology for highly parameterized environmental models. Water Resources Research 41 (2005) W10412 10.1029/2005WR003995
    • (2005) Water Resources Research , vol.41
    • Tonkin, M.J.1    Doherty, J.2
  • 27
    • 70349766629 scopus 로고    scopus 로고
    • Calibration-constrained Monte Carlo analysis of highly parameterized models using subspace techniques
    • 10.1029/2007WR006678
    • Tonkin M.J., and Doherty J. Calibration-constrained Monte Carlo analysis of highly parameterized models using subspace techniques. Water Resources Research 45 (2009) W00B10 10.1029/2007WR006678
    • (2009) Water Resources Research , vol.45
    • Tonkin, M.J.1    Doherty, J.2
  • 28
    • 36749091868 scopus 로고    scopus 로고
    • Efficient nonlinear predictive error variance for highly parameterized models
    • 10.1029/2006WR005348
    • Tonkin M., Doherty J., and Moore C. Efficient nonlinear predictive error variance for highly parameterized models. Water Resources Research 43 (2007) W07429 10.1029/2006WR005348
    • (2007) Water Resources Research , vol.43
    • Tonkin, M.1    Doherty, J.2    Moore, C.3


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