Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2231-2018
© Author(s) 2018. 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-11-2231-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
15 Jun 2018
Model evaluation paper |
| 15 Jun 2018
| 15 Jun 2018
A new region-aware bias-correction method for simulated precipitation in areas of complex orography
Juan José Gómez-Navarro
CORRESPONDING AUTHOR
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, Bern, Switzerland
Department of Physics, University of Murcia, Murcia, Spain
Mobiliar Lab for Natural Risks, Bern, Switzerland
Christoph C. Raible
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, Bern, Switzerland
Mobiliar Lab for Natural Risks, Bern, Switzerland
Denica Bozhinova
Climate and Environmental Physics, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, Bern, Switzerland
Olivia Martius
Oeschger Centre for Climate Change Research, Bern, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
Mobiliar Lab for Natural Risks, Bern, Switzerland
Juan Andrés García Valero
Department of Physics, University of Murcia, Murcia, Spain
Agencia Estatal de Meteorología (AEMET), Murcia, Spain
Juan Pedro Montávez
Department of Physics, University of Murcia, Murcia, Spain
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17 citations as recorded by crossref.
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- Evaluating the dependence structure of compound precipitation and wind speed extremes J. Zscheischler et al. 10.5194/esd-12-1-2021
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- The role of ice-sheet topography in the Alpine hydro-climate at glacial times P. Velasquez et al. 10.5194/cp-18-1579-2022
- A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1) P. Velasquez et al. 10.5194/gmd-13-5007-2020
- The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations M. Alavoine & P. Grenier 10.1002/joc.7878
- How can biosphere models simulate enough vegetation biomass in the mountains of the western United States? Implications of meteorological forcing H. Duarte et al. 10.1016/j.envsoft.2021.105288
- Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. 10.1175/JCLI-D-17-0765.1
- Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier 10.1002/joc.6432
- Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan F. Cheng et al. 10.1016/j.atmosenv.2020.117909
- Perspectives of regional paleoclimate modeling P. Ludwig et al. 10.1111/nyas.13865
16 citations as recorded by crossref.
- From global circulation to local flood loss: Coupling models across the scales G. Felder et al. 10.1016/j.scitotenv.2018.04.170
- Techniques to preprocess the climate projections—a review S. Panjwani & S. Kumar 10.1007/s00704-023-04431-2
- Review of bias correction methods for climate model outputs in hydrology A. Menapace et al. 10.1016/j.jhydrol.2025.133213
- Evaluating the dependence structure of compound precipitation and wind speed extremes J. Zscheischler et al. 10.5194/esd-12-1-2021
- Dynamical downscaling and data assimilation for a cold-air outbreak in the European Alps during the Year Without a Summer of 1816 P. Stucki et al. 10.5194/cp-20-2327-2024
- 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
- Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
- Event selection for dynamical downscaling: a neural network approach for physically-constrained precipitation events J. Gómez-Navarro et al. 10.1007/s00382-019-04818-w
- 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
- The role of ice-sheet topography in the Alpine hydro-climate at glacial times P. Velasquez et al. 10.5194/cp-18-1579-2022
- A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1) P. Velasquez et al. 10.5194/gmd-13-5007-2020
- The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations M. Alavoine & P. Grenier 10.1002/joc.7878
- How can biosphere models simulate enough vegetation biomass in the mountains of the western United States? Implications of meteorological forcing H. Duarte et al. 10.1016/j.envsoft.2021.105288
- Climate Model Biases and Modification of the Climate Change Signal by Intensity-Dependent Bias Correction M. Ivanov et al. 10.1175/JCLI-D-17-0765.1
- Characterizing and avoiding physical inconsistency generated by the application of univariate quantile mapping on daily minimum and maximum temperatures over Hudson Bay M. Agbazo & P. Grenier 10.1002/joc.6432
- Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan F. Cheng et al. 10.1016/j.atmosenv.2020.117909
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 28 May 2025
Short summary
We carry out and compare two high-resolution simulations of the Alpine region in the period 1979–2005. We aim to improve the understanding of the local mechanisms leading to extreme events in this complex region. We compare both simulations to precipitation observations to assess the model performance, and attribute major biases to either model or boundary conditions. Further, we develop a new bias correction technique to remove systematic errors in simulated precipitation for impact studies.
We carry out and compare two high-resolution simulations of the Alpine region in the period...
