Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3601-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-20-3601-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts
Louise Crochemore
CORRESPONDING AUTHOR
Irstea, Hydrosystems and Bioprocesses Research Unit, 1 rue Pierre Gilles de Gennes, 92 761, Antony, France
now at: Swedish Meteorological and Hydrological Institute (SMHI), Norrköping,
Sweden
Maria-Helena Ramos
Irstea, Hydrosystems and Bioprocesses Research Unit, 1 rue Pierre Gilles de Gennes, 92 761, Antony, France
Florian Pappenberger
ECMWF, European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK
School of Geographical Sciences, University of Bristol, University Road, Bristol, BS8 1SS, UK
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- Advances in the Definition of Needs and Specifications for a Climate Service Tool Aimed at Small Hydropower Plants’ Operation and Management E. Contreras et al. 10.3390/en13071827
- Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK A. Peñuela et al. 10.5194/hess-24-6059-2020
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- Mitigating the Impacts of Climate Nonstationarity on Seasonal Streamflow Predictability in the U.S. Southwest F. Lehner et al. 10.1002/2017GL076043
- A five-parameter Gamma-Gaussian model to calibrate monthly and seasonal GCM precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2021.126893
- Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0 R. Emerton et al. 10.5194/gmd-11-3327-2018
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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...
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