SEARCH

SEARCH BY CITATION

Cited in:

CrossRef

This article has been cited by:

  1. 1
    Kue Bum Kim, Michaela Bray, Dawei Han, Exploration of optimal time steps for daily precipitation bias correction: a case study using a single grid of RCM on the River Exe in southwest England, Hydrological Sciences Journal, 2016, 61, 2, 289

    CrossRef

  2. 2
    Bastian Klein, Dennis Meissner, Hans-Ulrich Kobialka, Paolo Reggiani, Predictive Uncertainty Estimation of Hydrological Multi-Model Ensembles Using Pair-Copula Construction, Water, 2016, 8, 4, 125

    CrossRef

  3. 3
    A. Allen Bradley, Mohamed Habib, Stuart S. Schwartz, Climate index weighting of ensemble streamflow forecasts using a simple Bayesian approach, Water Resources Research, 2015, 51, 9
  4. 4
    Henry D. Herr, Roman Krzysztofowicz, Ensemble Bayesian forecasting system Part I: Theory and algorithms, Journal of Hydrology, 2015, 524, 789

    CrossRef

  5. 5
    Xujie Zhang, Martijn J. Booij, Yue-Ping Xu, Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration?, Journal of Hydrometeorology, 2015, 16, 5, 2187

    CrossRef

  6. 6
    Aizhong Ye, Qingyun Duan, John Schaake, Jing Xu, Xiaoxue Deng, Zhenhua Di, Chiyuan Miao, Wei Gong, Post-processing of ensemble forecasts in low-flow period, Hydrological Processes, 2015, 29, 10
  7. 7
    Emmanuel Roulin, Stéphane Vannitsem, Post-processing of medium-range probabilistic hydrological forecasting: impact of forcing, initial conditions and model errors, Hydrological Processes, 2015, 29, 6
  8. 8
    Stefanie Jörg-Hess, Silja B. Kempf, Felix Fundel, Massimiliano Zappa, The benefit of climatological and calibrated reforecast data for simulating hydrological droughts in Switzerland, Meteorological Applications, 2015, 22, 3
  9. 9
    Fernando Mainardi Fan, Walter Collischonn, Adalberto Meller, Luiz César Mendes Botelho, Ensemble streamflow forecasting experiments in a tropical basin: The São Francisco river case study, Journal of Hydrology, 2014, 519, 2906

    CrossRef

  10. 10
    Dong-Jun Seo, Ridwan Siddique, Yu Zhang, Dongsoo Kim, Improving real-time estimation of heavy-to-extreme precipitation using rain gauge data via conditional bias-penalized optimal estimation, Journal of Hydrology, 2014, 519, 1824

    CrossRef

  11. 11
    F. Bourgin, M.H. Ramos, G. Thirel, V. Andréassian, Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting, Journal of Hydrology, 2014, 519, 2775

    CrossRef

  12. 12
    K. Engeland, I. Steinsland, Probabilistic postprocessing models for flow forecasts for a system of catchments and several lead times, Water Resources Research, 2014, 50, 1
  13. 13
    Julie Demargne, Limin Wu, Satish K. Regonda, James D. Brown, Haksu Lee, Minxue He, Dong-Jun Seo, Robert Hartman, Henry D. Herr, Mark Fresch, John Schaake, Yuejian Zhu, The Science of NOAA's Operational Hydrologic Ensemble Forecast Service, Bulletin of the American Meteorological Society, 2014, 95, 1, 79

    CrossRef

  14. 14
    James D. Brown, Limin Wu, Minxue He, Satish Regonda, Haksu Lee, Dong-Jun Seo, Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 1. Experimental design and forcing verification, Journal of Hydrology, 2014, 519, 2869

    CrossRef

  15. 15
    James D. Brown, Minxue He, Satish Regonda, Limin Wu, Haksu Lee, Dong-Jun Seo, Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 2. Streamflow verification, Journal of Hydrology, 2014, 519, 2847

    CrossRef

  16. You have free access to this content16
    Hydrological ensemble prediction systems, Hydrological Processes, 2013, 27, 1
  17. 17
    J.S. Verkade, J.D. Brown, P. Reggiani, A.H. Weerts, Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales, Journal of Hydrology, 2013, 501, 73

    CrossRef