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

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

doi:https://doi.org/10.5194/os-20-1457-2024

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

Supplement

https://doi.org/10.5194/os-20-1457-2024-supplement

Data sets

Bias corrected high resolution river runoff over Europe S. Hagemann and T. Stacke https://doi.org/10.26050/WDCC/Biasc_hr_riverro_Eu

Global Soil Wetness Project Phase 3 Atmospheric Boundary Conditions (Experiment 1) H. Kim https://doi.org/10.20783/DIAS.501

OSPAR Contracting Parties' RID 2019 Data Report C. Farkas and E. Skarbøvik https://odims.ospar.org/en/submissions/ospar_rid_data_reports_2019_01/

WFDE5: bias-adjusted ERA5 reanalysis data for impact studies (https://cds.climate.copernicus.eu) M. Cucchi et al. https://doi.org/10.5194/essd-12-2097-2020

Short summary

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.