Journal metrics

Journal metrics

  • IF value: 4.256 IF 4.256
  • IF 5-year value: 4.819 IF 5-year 4.819
  • CiteScore value: 4.10 CiteScore 4.10
  • SNIP value: 1.412 SNIP 1.412
  • SJR value: 2.023 SJR 2.023
  • IPP value: 3.97 IPP 3.97
  • h5-index value: 58 h5-index 58
  • Scimago H index value: 99 Scimago H index 99
Volume 21, issue 11 | Copyright

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 21, 5747-5762, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 Nov 2017

Research article | 22 Nov 2017

Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate

Rachel Bazile et al.
Related authors
Modelling of shallow water table dynamics using conceptual and physically based integrated surface water-groundwater hydrologic models
Mohammad Bizhanimanzar, Robert Leconte, and Mathieu Nuth
Hydrol. Earth Syst. Sci. Discuss.,,, 2018
Manuscript under review for HESS
Parameter-state ensemble data assimilation using Approximate Bayesian Computing for short-term hydrological prediction
Bruce Davison, Vincent Fortin, Alain Pietroniro, Man K. Yau, and Robert Leconte
Hydrol. Earth Syst. Sci. Discuss.,,, 2017
Revised manuscript under review for HESS
Moving beyond the cost–loss ratio: economic assessment of streamflow forecasts for a risk-averse decision maker
Simon Matte, Marie-Amélie Boucher, Vincent Boucher, and Thomas-Charles Fortier Filion
Hydrol. Earth Syst. Sci., 21, 2967-2986,,, 2017
Combined assimilation of streamflow and snow water equivalent for mid-term ensemble streamflow forecasts in snow-dominated regions
Jean M. Bergeron, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 20, 4375-4389,,, 2016
Streamflow variability over the 1881–2011 period in northern Québec: comparison of hydrological reconstructions based on tree rings and geopotential height field reanalysis
Pierre Brigode, François Brissette, Antoine Nicault, Luc Perreault, Anna Kuentz, Thibault Mathevet, and Joël Gailhard
Clim. Past, 12, 1785-1804,,, 2016
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Uncertainty analysis
Dual-polarized quantitative precipitation estimation as a function of range
Micheal J. Simpson and Neil I. Fox
Hydrol. Earth Syst. Sci., 22, 3375-3389,,, 2018
Reconstruction of droughts in India using multiple land-surface models (1951–2015)
Vimal Mishra, Reepal Shah, Syed Azhar, Harsh Shah, Parth Modi, and Rohini Kumar
Hydrol. Earth Syst. Sci., 22, 2269-2284,,, 2018
Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system
Sanjib Sharma, Ridwan Siddique, Seann Reed, Peter Ahnert, Pablo Mendoza, and Alfonso Mejia
Hydrol. Earth Syst. Sci., 22, 1831-1849,,, 2018
Exploratory studies into seasonal flow forecasting potential for large lakes
Kevin Sene, Wlodek Tych, and Keith Beven
Hydrol. Earth Syst. Sci., 22, 127-141,,, 2018
Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China
Fan Yang, Hui Lu, Kun Yang, Jie He, Wei Wang, Jonathon S. Wright, Chengwei Li, Menglei Han, and Yishan Li
Hydrol. Earth Syst. Sci., 21, 5805-5821,,, 2017
Cited articles
Bröcker, J. and Smith, L. A.: From ensemble forecasts to predictive distribution functions, Tellus A, 60, 663–678, 2008.
Cloke, H. and Pappenberger, F.: Ensemble flood forecasting: a review, J. Hydrol., 375, 613–626, 2009.
Crochemore, L., Ramos, M.-H., and Pappenberger, F.: Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts, Hydrol. Earth Syst. Sci., 20, 3601–3618,, 2016.
Day, G. N.: Extended streamflow forecasting using NWSRFS, J. Water Res. Plan. Man., 111, 157–170, 1985.
DelSole, T.: Predictability and information theory. Part I: Measures of predictability, J. Atmos. Sci., 61, 2425–2440, 2004.
Publications Copernicus
Special issue
Short summary
Meteorological forecasting agencies constantly work on pushing the limit of predictability farther in time. However, some end users need proof that climate model outputs are ready to be implemented operationally. We show that bias correction is crucial for the use of ECMWF System4 forecasts for the studied area and there is a potential for the use of 1-month-ahead forecasts. Beyond this, forecast performance is equivalent to using past climatology series as inputs to the hydrological model.
Meteorological forecasting agencies constantly work on pushing the limit of predictability...