Benchmarking hydrological models for an uncertain future

被引:14
作者
Beven, Keith [1 ]
机构
[1] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England
关键词
DIAGNOSE INTEGRATED HYDROLOGY; INTERCOMPARISON PROJECT; RATING-CURVE; EQUIFINALITY; PHOSPHORUS; FRAMEWORK; DISCHARGE; LIMITS; UK; CALIBRATION;
D O I
10.1002/hyp.14882
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
引用
收藏
页数:7
相关论文
共 73 条
  • [51] Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain
    Lane, Rosanna A.
    Coxon, Gemma
    Freer, Jim E.
    Wagener, Thorsten
    Johnes, Penny J.
    Bloomfield, John P.
    Greene, Sheila
    Macleod, Christopher J. A.
    Reaney, Sim M.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2019, 23 (10) : 4011 - 4032
  • [52] Benchmarking data-driven rainfall-runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models
    Lees, Thomas
    Buechel, Marcus
    Anderson, Bailey
    Slater, Louise
    Reece, Steven
    Coxon, Gemma
    Dadson, Simon J.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2021, 25 (10) : 5517 - 5534
  • [53] Towards a limits of acceptability approach to the calibration of hydrological models: Extending observation error
    Liu, Yanli
    Freer, Jim
    Beven, Keith
    Matgen, Patrick
    [J]. JOURNAL OF HYDROLOGY, 2009, 367 (1-2) : 93 - 103
  • [54] The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL)
    Mai, Juliane
    Shen, Hongren
    Tolson, Bryan A.
    Gaborit, Etienne
    Arsenault, Richard
    Craig, James R.
    Fortin, Vincent
    Fry, Lauren M.
    Gauch, Martin
    Klotz, Daniel
    Kratzert, Frederik
    O'Brien, Nicole
    Princz, Daniel G.
    Koya, Sinan Rasiya
    Roy, Tirthankar
    Seglenieks, Frank
    Shrestha, Narayan K.
    Temgoua, Andre G. T.
    Vionnet, Vincent
    Waddell, Jonathan W.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2022, 26 (13) : 3537 - 3572
  • [55] Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks
    Maxwell, Reed M.
    Putti, Mario
    Meyerhoff, Steven
    Delfs, Jens-Olaf
    Ferguson, Ian M.
    Ivanov, Valeriy
    Kim, Jongho
    Kolditz, Olaf
    Kollet, Stefan J.
    Kumar, Mukesh
    Lopez, Sonya
    Niu, Jie
    Paniconi, Claudio
    Park, Young-Jin
    Phanikumar, Mantha S.
    Shen, Chaopeng
    Sudicky, Edward A.
    Sulis, Mauro
    [J]. WATER RESOURCES RESEARCH, 2014, 50 (02) : 1531 - 1549
  • [56] Rating curve estimation under epistemic uncertainty
    McMillan, H. K.
    Westerberg, I. K.
    [J]. HYDROLOGICAL PROCESSES, 2015, 29 (07) : 1873 - 1882
  • [57] Hydrological data uncertainty and its implications
    McMillan, Hilary K.
    Westerberg, Ida K.
    Krueger, Tobias
    [J]. WILEY INTERDISCIPLINARY REVIEWS-WATER, 2018, 5 (06):
  • [58] What Role Does Hydrological Science Play in the Age of Machine Learning?
    Nearing, Grey S.
    Kratzert, Frederik
    Sampson, Alden Keefe
    Pelissier, Craig S.
    Klotz, Daniel
    Frame, Jonathan M.
    Prieto, Cristina
    Gupta, Hoshin V.
    [J]. WATER RESOURCES RESEARCH, 2021, 57 (03)
  • [59] Benchmarking and Process Diagnostics of Land Models
    Nearing, Grey S.
    Ruddell, Benjamin L.
    Clark, Martyn P.
    Nijssen, Bart
    Peters-Lidard, Christa
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2018, 19 (11) : 1835 - 1852
  • [60] Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions
    Nearing, Grey S.
    Mocko, David M.
    Peters-Lidard, Christa D.
    Kumar, Sujay V.
    Xia, Youlong
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2016, 17 (03) : 745 - 759