Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Volume 21, issue 10
Hydrol. Earth Syst. Sci., 21, 5273–5291, 2017
https://doi.org/10.5194/hess-21-5273-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 5273–5291, 2017
https://doi.org/10.5194/hess-21-5273-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Oct 2017

Research article | 19 Oct 2017

Performance of ensemble streamflow forecasts under varied hydrometeorological conditions

Harm-Jan F. Benninga et al.

Related authors

Anatomy of the 2018 agricultural drought in The Netherlands using in situ soil moisture and satellite vegetation indices
Joost Buitink, Anne M. Swank, Martine van der Ploeg, Naomi E. Smith, Harm-Jan F. Benninga, Frank van der Bolt, Coleen D. U. Carranza, Gerbrand Koren, Rogier van der Velde, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-358,https://doi.org/10.5194/hess-2020-358, 2020
Preprint under review for HESS
Short summary
Validation of SMAP L2 passive-only soil moisture products using in situ measurements collected in Twente, The Netherlands
Rogier van der Velde, Andreas Colliander, Michiel Pezij, Harm-Jan F. Benninga, Rajat Bindlish, Steven K. Chan, Thomas J. Jackson, Dimmie M. D. Hendriks, Denie C. M. Augustijn, and Zhongbo Su
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-471,https://doi.org/10.5194/hess-2019-471, 2019
Revised manuscript under review for HESS
Short summary
The Raam regional soil moisture monitoring network in the Netherlands
Harm-Jan F. Benninga, Coleen D. U. Carranza, Michiel Pezij, Pim van Santen, Martine J. van der Ploeg, Denie C. M. Augustijn, and Rogier van der Velde
Earth Syst. Sci. Data, 10, 61–79, https://doi.org/10.5194/essd-10-61-2018,https://doi.org/10.5194/essd-10-61-2018, 2018
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe
Stefania Camici, Christian Massari, Luca Ciabatta, Ivan Marchesini, and Luca Brocca
Hydrol. Earth Syst. Sci., 24, 4869–4885, https://doi.org/10.5194/hess-24-4869-2020,https://doi.org/10.5194/hess-24-4869-2020, 2020
Short summary
Assimilation of Soil Moisture and Ocean Salinity (SMOS) brightness temperature into a large-scale distributed conceptual hydrological model to improve soil moisture predictions: the Murray–Darling basin in Australia as a test case
Renaud Hostache, Dominik Rains, Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens, Fabrizio Fenicia, Giovanni Corato, Niko E. C. Verhoest, and Patrick Matgen
Hydrol. Earth Syst. Sci., 24, 4793–4812, https://doi.org/10.5194/hess-24-4793-2020,https://doi.org/10.5194/hess-24-4793-2020, 2020
Short summary
Frequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000 years
Hui Sheng, Xiaomei Xu, Jian Hua Gao, Albert J. Kettner, Yong Shi, Chengfeng Xue, Ya Ping Wang, and Shu Gao
Hydrol. Earth Syst. Sci., 24, 4743–4761, https://doi.org/10.5194/hess-24-4743-2020,https://doi.org/10.5194/hess-24-4743-2020, 2020
Short summary
Assessing the degree of detail of temperature-based snow routines for runoff modelling in mountainous areas in central Europe
Marc Girons Lopez, Marc J. P. Vis, Michal Jenicek, Nena Griessinger, and Jan Seibert
Hydrol. Earth Syst. Sci., 24, 4441–4461, https://doi.org/10.5194/hess-24-4441-2020,https://doi.org/10.5194/hess-24-4441-2020, 2020
Short summary
Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements
Uwe Ehret, Rik van Pruijssen, Marina Bortoli, Ralf Loritz, Elnaz Azmi, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 4389–4411, https://doi.org/10.5194/hess-24-4389-2020,https://doi.org/10.5194/hess-24-4389-2020, 2020
Short summary

Cited articles

Akhtar, M., Ahmad, N., and Booij, M. J.: Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum-Himalaya region, Hydrol. Earth Syst. Sci., 13, 1075–1089, https://doi.org/10.5194/hess-13-1075-2009, 2009.
Alfieri, L., Pappenberger, F., Wetterhall, F., Haiden, T., Richardson, D., and Salamon, P.: Evaluation of ensemble streamflow predictions in Europe, J. Hydrol., 517, 913–922, https://doi.org/10.1016/j.jhydrol.2014.06.035, 2014.
Bennett, J. C., Robertson, D. E., Shrestha, D. L., and Wang, Q. J.: Selecting reference streamflow forecasts to demonstrate the performance of NWP-forced streamflow forecasts, in: MODSIM 2013, 20th International Congress on Modelling and Simulation, edited by: Piantadosi, J., Anderssen, R. S., and Boland, J., Modelling and Simulation Society of Australia and New Zealand, Adelaide, Australia, 1–6 December 2013, available at: http://www.mssanz.org.au/modsim2013/L8/bennett.pdf (last access: 9 October 2017), 2013.
Bennett, J. C., Robertson, D. E., Shrestha, D. L., Wang, Q. J., Enever, D., Hapuarachchi, P., and Tuteja, N. K.: A System for Continuous Hydrological Ensemble Forecasting (SCHEF) to lead times of 9 days, J. Hydrol., 519, 2832–2846, https://doi.org/10.1016/j.jhydrol.2014.08.010, 2014.
Boé, J., Terray, L., Habets, F., and Martin, E.: Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies, Int. J. Climatol., 27, 1643–1655, https://doi.org/10.1002/joc.1602, 2007.
Publications Copernicus
Download
Short summary
Accurate flood and low-streamflow forecasting are important. The paper presents a methodology to evaluate ensemble streamflow-forecasting systems for different lead times; low, medium and high streamflow; and related runoff-generating processes. We applied the methodology to a study forecasting system of the Biała Tarnowska River in Poland. The results provide valuable information about the forecasting system: in which conditions it can be used and how the system can be improved effectively.
Accurate flood and low-streamflow forecasting are important. The paper presents a methodology to...
Citation