Ocean Science
Ocean Science
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Articles | Volume 20, issue 6
Articles | Volume 20, issue 6
https://doi.org/10.5194/os-20-1457-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-20-1457-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 6
Research article
 | 
12 Nov 2024
Research article |  | 12 Nov 2024

A three-quantile bias correction with spatial transfer for the correction of simulated European river runoff to force ocean models

Stefan Hagemann, Thao Thi Nguyen, and Ha Thi Minh Ho-Hagemann

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Arora, V. K., Seiler, C., Wang, L., and Kou-Giesbrecht, S.: Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations, Biogeosciences, 20, 1313–1355, https://doi.org/10.5194/bg-20-1313-2023, 2023. 
Becker, G. A., Dick, S., and Dippner, J. W.: Hydrography of the German Bight, Mar. Ecol. Prog. Ser., 91, 9–18, https://doi.org/10.3354/meps091009, 1992. 
Becker, G. A., Giese, H., Isert, K., König, P., Langenberg, H., Pohlmann, T., and Schrum, C.: Mesoscale structures, fluxes and water mass variability in the German Bight as exemplified in the KUSTOS- experiments and numerical models, Deutsche Hydrographische Zeitschrift, 51, 155–179, https://doi.org/10.1007/bf02764173, 1999. 
Borgvang, S. A., Skarbøvik, E., and Pengerud, A.: RID 2006 data report: Presentation and Assessment of the OSPAR Contracting Parties' RID 2006 Data, Norwegian Institute for Agricultural and Environmental Research, London, No. 376/2008, 373 pp., https://www.ospar.org/documents?v=7121 (last access: 7 November 2024) 2008. 
Brown, J. D. and Seo, D. J.: A nonparametric postprocessor for bias correction of hydrometeorological and hydrologic ensemble forecasts, J. Hydrometeorol., 11, 642–665, https://doi.org/10.1175/2009jhm1188.1, 2010. 
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We have developed a methodology for the bias correction of simulated river runoff to force ocean models in which low, medium, and high discharges are corrected once separated at the coast. We show that the bias correction generally leads to an improved representation of river runoff in Europe. The methodology is suitable for model regions with a sufficiently high coverage of discharge observations, and it can be applied to river runoff based on climate hindcasts or climate change simulations.
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