Articles | Volume 11, issue 6
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

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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,, 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,, 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,, 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:, 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,, 2013. a
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.