Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2231-2018
https://doi.org/10.5194/gmd-11-2231-2018
Model evaluation paper
 | 
15 Jun 2018
Model evaluation paper |  | 15 Jun 2018

A new region-aware bias-correction method for simulated precipitation in areas of complex orography

Juan José Gómez-Navarro, Christoph C. Raible, Denica Bozhinova, Olivia Martius, Juan Andrés García Valero, and Juan Pedro Montávez

Related authors

Influence of sea salt aerosols on the development of Mediterranean tropical-like cyclones
Enrique Pravia-Sarabia, Juan José Gómez-Navarro, Pedro Jiménez-Guerrero, and Juan Pedro Montávez
Atmos. Chem. Phys., 21, 13353–13368, https://doi.org/10.5194/acp-21-13353-2021,https://doi.org/10.5194/acp-21-13353-2021, 2021
Short summary
Northern Hemisphere atmospheric pattern enhancing Eastern Mediterranean Transient-type events during the past 1000 years
Aleix Cortina-Guerra, Juan José Gomez-Navarro, Belen Martrat, Juan Pedro Montávez, Alessandro Incarbona, Joan O. Grimalt, Marie-Alexandrine Sicre, and P. Graham Mortyn
Clim. Past, 17, 1523–1532, https://doi.org/10.5194/cp-17-1523-2021,https://doi.org/10.5194/cp-17-1523-2021, 2021
Short summary
TITAM (v1.0): the Time-Independent Tracking Algorithm for Medicanes
Enrique Pravia-Sarabia, Juan José Gómez-Navarro, Pedro Jiménez-Guerrero, and Juan Pedro Montávez
Geosci. Model Dev., 13, 6051–6075, https://doi.org/10.5194/gmd-13-6051-2020,https://doi.org/10.5194/gmd-13-6051-2020, 2020
Short summary
The weather behind words – new methodologies for integrated hydrometeorological reconstruction through documentary sources
Salvador Gil-Guirado, Juan José Gómez-Navarro, and Juan Pedro Montávez
Clim. Past, 15, 1303–1325, https://doi.org/10.5194/cp-15-1303-2019,https://doi.org/10.5194/cp-15-1303-2019, 2019
Short summary
Sensitivity experiments on the response of Vb cyclones to sea surface temperature and soil moisture changes
Martina Messmer, Juan José Gómez-Navarro, and Christoph C. Raible
Earth Syst. Dynam., 8, 477–493, https://doi.org/10.5194/esd-8-477-2017,https://doi.org/10.5194/esd-8-477-2017, 2017
Short summary

Related subject area

Climate and Earth system modeling
LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)
Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che
Geosci. Model Dev., 17, 3975–3992, https://doi.org/10.5194/gmd-17-3975-2024,https://doi.org/10.5194/gmd-17-3975-2024, 2024
Short summary
Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations
Yung-Yao Lan, Huang-Hsiung Hsu, and Wan-Ling Tseng
Geosci. Model Dev., 17, 3897–3918, https://doi.org/10.5194/gmd-17-3897-2024,https://doi.org/10.5194/gmd-17-3897-2024, 2024
Short summary
Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3
Jiwoo Lee, Peter J. Gleckler, Min-Seop Ahn, Ana Ordonez, Paul A. Ullrich, Kenneth R. Sperber, Karl E. Taylor, Yann Y. Planton, Eric Guilyardi, Paul Durack, Celine Bonfils, Mark D. Zelinka, Li-Wei Chao, Bo Dong, Charles Doutriaux, Chengzhu Zhang, Tom Vo, Jason Boutte, Michael F. Wehner, Angeline G. Pendergrass, Daehyun Kim, Zeyu Xue, Andrew T. Wittenberg, and John Krasting
Geosci. Model Dev., 17, 3919–3948, https://doi.org/10.5194/gmd-17-3919-2024,https://doi.org/10.5194/gmd-17-3919-2024, 2024
Short summary
A revised model of global silicate weathering considering the influence of vegetation cover on erosion rate
Haoyue Zuo, Yonggang Liu, Gaojun Li, Zhifang Xu, Liang Zhao, Zhengtang Guo, and Yongyun Hu
Geosci. Model Dev., 17, 3949–3974, https://doi.org/10.5194/gmd-17-3949-2024,https://doi.org/10.5194/gmd-17-3949-2024, 2024
Short summary
A radiative–convective model computing precipitation with the maximum entropy production hypothesis
Quentin Pikeroen, Didier Paillard, and Karine Watrin
Geosci. Model Dev., 17, 3801–3814, https://doi.org/10.5194/gmd-17-3801-2024,https://doi.org/10.5194/gmd-17-3801-2024, 2024
Short summary

Cited articles

Argüeso, D., Evans, J. P., and Fita, L.: Precipitation bias correction of very high resolution regional climate models, Hydrol. Earth Syst. Sci., 17, 4379–4388, https://doi.org/10.5194/hess-17-4379-2013, 2013. a
Awan, N. K., Truhetz, H., and Gobiet, A.: Parameterization-induced error characteristics of MM5 and WRF operated in climate mode over the Alpine region: an ensemble-based analysis, J. Climate, 24, 3107–3123, https://doi.org/10.1175/2011JCLI3674.1, 2011. a
Ban, N., Schmidli, J., and Schär, C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, https://doi.org/10.1002/2014JD021478, 2014. a, b, c
Bedia, J., Bhend, J., De Felice, M., Fernández, J., Frías, M. D., Gutiérrez, J. M., Herrera, S., Iturbide, M., Manzanas, R., Medina, J. B., Szabo-Takacs, B., and Tuni, M.: downscaleR: An R package for climate data bias correction and downscaling (part of the climate4R bundle), available at: https://github.com/SantanderMetGroup/downscaleR, last access: 11 June 2018. 
Bracegirdle, T. J., Shuckburgh, E., Sallee, J.-B., Wang, Z., Meijers, A. J. S., Bruneau, N., Phillips, T., and Wilcox, L. J.: Assessment of surface winds over the Atlantic, Indian, and Pacific Ocean sectors of the Southern Ocean in CMIP5 models: historical bias, forcing response, and state dependence, J. Geophys. Res.-Atmos., 118, 547–562, https://doi.org/10.1002/jgrd.50153, 2013. a
Download
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.