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 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3601–3618, 2016
https://doi.org/10.5194/hess-20-3601-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 20, 3601–3618, 2016
https://doi.org/10.5194/hess-20-3601-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Sep 2016

Research article | 06 Sep 2016

Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts

Louise Crochemore et al.

Related authors

Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden
Marc Girons Lopez, Louise Crochemore, and Ilias G. Pechlivanidis
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-542,https://doi.org/10.5194/hess-2020-542, 2020
Preprint under review for HESS
Short summary
Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation
Berit Arheimer, Rafael Pimentel, Kristina Isberg, Louise Crochemore, Jafet C. M. Andersson, Abdulghani Hasan, and Luis Pineda
Hydrol. Earth Syst. Sci., 24, 535–559, https://doi.org/10.5194/hess-24-535-2020,https://doi.org/10.5194/hess-24-535-2020, 2020
Short summary
From skill to value: isolating the influence of end-user behaviour on seasonal forecast assessment
Matteo Giuliani, Louise Crochemore, Ilias Pechlivanidis, and Andrea Castelletti
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-659,https://doi.org/10.5194/hess-2019-659, 2020
Revised manuscript accepted for HESS
Short summary
Seasonal streamflow forecasting by conditioning climatology with precipitation indices
Louise Crochemore, Maria-Helena Ramos, Florian Pappenberger, and Charles Perrin
Hydrol. Earth Syst. Sci., 21, 1573–1591, https://doi.org/10.5194/hess-21-1573-2017,https://doi.org/10.5194/hess-21-1573-2017, 2017
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Mathematical applications
The 2018 northern European hydrological drought and its drivers in a historical perspective
Sigrid J. Bakke, Monica Ionita, and Lena M. Tallaksen
Hydrol. Earth Syst. Sci., 24, 5621–5653, https://doi.org/10.5194/hess-24-5621-2020,https://doi.org/10.5194/hess-24-5621-2020, 2020
Short summary
Assimilating shallow soil moisture observations into land models with a water budget constraint
Bo Dan, Xiaogu Zheng, Guocan Wu, and Tao Li
Hydrol. Earth Syst. Sci., 24, 5187–5201, https://doi.org/10.5194/hess-24-5187-2020,https://doi.org/10.5194/hess-24-5187-2020, 2020
Short summary
Emerging climate signals in the Lena River catchment: a non-parametric statistical approach
Eric Pohl, Christophe Grenier, Mathieu Vrac, and Masa Kageyama
Hydrol. Earth Syst. Sci., 24, 2817–2839, https://doi.org/10.5194/hess-24-2817-2020,https://doi.org/10.5194/hess-24-2817-2020, 2020
Short summary
Near-0 °C surface temperature and precipitation type patterns across Canada
Eva Mekis, Ronald E. Stewart, Julie M. Theriault, Bohdan Kochtubajda, Barrie R. Bonsal, and Zhuo Liu
Hydrol. Earth Syst. Sci., 24, 1741–1761, https://doi.org/10.5194/hess-24-1741-2020,https://doi.org/10.5194/hess-24-1741-2020, 2020
Short summary
A universal multifractal approach to assessment of spatiotemporal extreme precipitation over the Loess Plateau of China
Jianjun Zhang, Guangyao Gao, Bojie Fu, Cong Wang, Hoshin V. Gupta, Xiaoping Zhang, and Rui Li
Hydrol. Earth Syst. Sci., 24, 809–826, https://doi.org/10.5194/hess-24-809-2020,https://doi.org/10.5194/hess-24-809-2020, 2020
Short summary

Cited articles

Arlot, S. and Celisse, A.: A survey of cross-validation procedures for model selection, Statist. Surv., 4, 40–79, https://doi.org/10.1214/09-SS054, 2010.
Christensen, J. H., Boberg, F., Christensen, O. B., and Lucas-Picher, P.: On the need for bias correction of regional climate change projections of temperature and precipitation, Geophys. Res. Lett., 35, L20709, https://doi.org/10.1029/2008GL035694, 2008.
Crochemore, L., Ramos, M.-H., Pappenberger, F., van Andel, S. J., and Wood, A. W.: An Experiment on Risk-Based Decision-Making in Water Management Using Monthly Probabilistic Forecasts, B. Am. Meteorol. Soc., 97, 541–551, https://doi.org/10.1175/BAMS-D-14-00270.1, 2016.
Day, G.: Extended Streamflow Forecasting Using NWSRFS, J. Water Res. Pl.-ASCE, 111, 157–170, 1985.
Demirel, M. C., Booij, M. J., and Hoekstra, A. Y.: The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models, Hydrol. Earth Syst. Sci., 19, 275–291, https://doi.org/10.5194/hess-19-275-2015, 2015.
Publications Copernicus
Download
Short summary
This study investigates the way bias correcting precipitation forecasts can improve the skill of streamflow forecasts at extended lead times. Eight variants of bias correction approaches based on the linear scaling and the distribution mapping methods are applied to the precipitation forecasts prior to generating the streamflow forecasts. One of the main results of the study is that distribution mapping of daily values is successful in improving forecast reliability.
This study investigates the way bias correcting precipitation forecasts can improve the skill of...
Citation