Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-5007-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5007-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1)
Patricio Velasquez
CORRESPONDING AUTHOR
Climate and Environmental Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Martina Messmer
Climate and Environmental Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
School of Earth Sciences, University of Melbourne, Melbourne, Victoria, Australia
Christoph C. Raible
Climate and Environmental Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
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23 citations as recorded by crossref.
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- Analysis of Linear Scaling Method in Downscaling Precipitation and Temperature A. Azman et al. 10.1007/s11269-021-03020-0
- Quantile mapping bias correction methods to IMDAA reanalysis for calibrating NCMRWF unified model operational forecasts K. Niranjan Kumar et al. 10.1080/02626667.2022.2049272
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- Correcting bias of satellite rainfall data using physical empirical model G. Ziarh et al. 10.1016/j.atmosres.2020.105430
- Last Glacial Maximum glacier fluctuations on the northern Alpine foreland: Geomorphological and chronological reconstructions from the Rhine and Reuss glacier systems S. Kamleitner et al. 10.1016/j.geomorph.2022.108548
- Coupled climate-glacier modelling of the last glaciation in the Alps G. Jouvet et al. 10.1017/jog.2023.74
- Temporal disaggregation of hourly precipitation under changing climate over the Southeast United States B. Takhellambam et al. 10.1038/s41597-022-01304-7
- Comparison of Bias Correction Methods for Summertime Daily Rainfall in South Korea Using Quantile Mapping and Machine Learning Model G. Seo & J. Ahn 10.3390/atmos14071057
- The role of ice-sheet topography in the Alpine hydro-climate at glacial times P. Velasquez et al. 10.5194/cp-18-1579-2022
- Climate Projections for Precipitation and Temperature Indicators in the Douro Wine Region: The Importance of Bias Correction J. Martins et al. 10.3390/agronomy11050990
- Hydrological analysis in watersheds with a variable-resolution global climate model (VR-CESM) Z. Xu & A. Di Vittorio 10.1016/j.jhydrol.2021.126646
- Sensitivity of precipitation and temperature over the Mount Kenya area to physics parameterization options in a high-resolution model simulation performed with WRFV3.8.1 M. Messmer et al. 10.5194/gmd-14-2691-2021
- Speleothem growth and stable carbon isotopes as proxies of the presence and thermodynamical state of glaciers compared to modelled glacier evolution in the Alps V. Skiba et al. 10.1016/j.quascirev.2023.108403
- Performance assessment of six bias correction methods using observed and RCM data at upper Awash basin, Oromia, Ethiopia B. Tumsa 10.2166/wcc.2021.181
- Vegetation, hydrology, and quantitative monsoon precipitation since the Last Glacial Maximum in Central China Z. Huang et al. 10.1016/j.gloplacha.2023.104298
- Validation of a 9-km WRF dynamical downscaling of temperature and precipitation for the period 1980–2005 over Central South Chile A. Fernández et al. 10.1007/s00704-020-03416-9
22 citations as recorded by crossref.
- Flood hazard assessment using design rainfall under climate change scenarios in the Kelantan River Basin, Malaysia T. Tam et al. 10.1108/IJDRBE-05-2022-0048
- Subglacial hydrology from high-resolution ice-flow simulations of the Rhine Glacier during the Last Glacial Maximum: a proxy for glacial erosion D. Cohen et al. 10.5194/egqsj-72-189-2023
- The role of land cover in the climate of glacial Europe P. Velasquez et al. 10.5194/cp-17-1161-2021
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- Analysis of Linear Scaling Method in Downscaling Precipitation and Temperature A. Azman et al. 10.1007/s11269-021-03020-0
- Quantile mapping bias correction methods to IMDAA reanalysis for calibrating NCMRWF unified model operational forecasts K. Niranjan Kumar et al. 10.1080/02626667.2022.2049272
- Projected mean and extreme precipitation based on bias-corrected simulation outputs of CORDEX Southeast Asia S. Ngai et al. 10.1016/j.wace.2022.100484
- Atmosphere–cryosphere interactions during the last phase of the Last Glacial Maximum (21 ka) in the European Alps C. Del Gobbo et al. 10.5194/cp-19-1805-2023
- A review of past changes in extratropical cyclones in the northern hemisphere and what can be learned for the future C. Raible et al. 10.1002/wcc.680
- Sensitivity of precipitation in the highlands and lowlands of Peru to physics parameterization options in WRFV3.8.1 S. González-Rojí et al. 10.5194/gmd-15-2859-2022
- Correcting bias of satellite rainfall data using physical empirical model G. Ziarh et al. 10.1016/j.atmosres.2020.105430
- Last Glacial Maximum glacier fluctuations on the northern Alpine foreland: Geomorphological and chronological reconstructions from the Rhine and Reuss glacier systems S. Kamleitner et al. 10.1016/j.geomorph.2022.108548
- Coupled climate-glacier modelling of the last glaciation in the Alps G. Jouvet et al. 10.1017/jog.2023.74
- Temporal disaggregation of hourly precipitation under changing climate over the Southeast United States B. Takhellambam et al. 10.1038/s41597-022-01304-7
- Comparison of Bias Correction Methods for Summertime Daily Rainfall in South Korea Using Quantile Mapping and Machine Learning Model G. Seo & J. Ahn 10.3390/atmos14071057
- The role of ice-sheet topography in the Alpine hydro-climate at glacial times P. Velasquez et al. 10.5194/cp-18-1579-2022
- Climate Projections for Precipitation and Temperature Indicators in the Douro Wine Region: The Importance of Bias Correction J. Martins et al. 10.3390/agronomy11050990
- Hydrological analysis in watersheds with a variable-resolution global climate model (VR-CESM) Z. Xu & A. Di Vittorio 10.1016/j.jhydrol.2021.126646
- Sensitivity of precipitation and temperature over the Mount Kenya area to physics parameterization options in a high-resolution model simulation performed with WRFV3.8.1 M. Messmer et al. 10.5194/gmd-14-2691-2021
- Speleothem growth and stable carbon isotopes as proxies of the presence and thermodynamical state of glaciers compared to modelled glacier evolution in the Alps V. Skiba et al. 10.1016/j.quascirev.2023.108403
- Performance assessment of six bias correction methods using observed and RCM data at upper Awash basin, Oromia, Ethiopia B. Tumsa 10.2166/wcc.2021.181
- Vegetation, hydrology, and quantitative monsoon precipitation since the Last Glacial Maximum in Central China Z. Huang et al. 10.1016/j.gloplacha.2023.104298
Latest update: 02 Dec 2023
Short summary
This work presents a new bias-correction method for precipitation that considers orographic characteristics, which can be used in studies where the latter strongly changes. The three-step correction method consists of a separation into orographic features, correction of low-intensity precipitation, and application of empirical quantile mapping. Seasonal bias induced by the global climate model is fully corrected. Rigorous cross-validations illustrate the method's applicability and robustness.
This work presents a new bias-correction method for precipitation that considers orographic...