Articles | Volume 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3601–3618, 2016
https://doi.org/10.5194/hess-20-3601-2016

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

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

Quantifying pluriannual hydrological memory with Catchment Forgetting Curves
Alban de Lavenne, Vazken Andréassian, Louise Crochemore, Göran Lindström, and Berit Arheimer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-331,https://doi.org/10.5194/hess-2021-331, 2021
Preprint under review for HESS
Short summary
Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden
Marc Girons Lopez, Louise Crochemore, and Ilias G. Pechlivanidis
Hydrol. Earth Syst. Sci., 25, 1189–1209, https://doi.org/10.5194/hess-25-1189-2021,https://doi.org/10.5194/hess-25-1189-2021, 2021
Short summary
From skill to value: isolating the influence of end user behavior on seasonal forecast assessment
Matteo Giuliani, Louise Crochemore, Ilias Pechlivanidis, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 24, 5891–5902, https://doi.org/10.5194/hess-24-5891-2020,https://doi.org/10.5194/hess-24-5891-2020, 2020
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
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 use of personal weather station observations to improve precipitation estimation and interpolation
András Bárdossy, Jochen Seidel, and Abbas El Hachem
Hydrol. Earth Syst. Sci., 25, 583–601, https://doi.org/10.5194/hess-25-583-2021,https://doi.org/10.5194/hess-25-583-2021, 2021
Short summary
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

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.
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.