Articles | Volume 13, issue 11
Geosci. Model Dev., 13, 5779–5797, 2020
https://doi.org/10.5194/gmd-13-5779-2020
Geosci. Model Dev., 13, 5779–5797, 2020
https://doi.org/10.5194/gmd-13-5779-2020

Model evaluation paper 25 Nov 2020

Model evaluation paper | 25 Nov 2020

Exploring the parameter space of the COSMO-CLM v5.0 regional climate model for the Central Asia CORDEX domain

Emmanuele Russo et al.

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Cited articles

Annan, J. and Hargreaves, J.: Efficient estimation and ensemble generation in climate modelling, Philos. T. R. Soc. A, 365, 2077–2088, 2007. a
Annan, J. D., Lunt, D. J., Hargreaves, J. C., and Valdes, P. J.: Parameter estimation in an atmospheric GCM using the Ensemble Kalman Filter, Nonlin. Processes Geophys., 12, 363–371, https://doi.org/10.5194/npg-12-363-2005, 2005. a
Ball, G. and Hall Dj, I.: A novel method of data analysis and pattern classification. Isodata, A novel method of data analysis and pattern classification, Tech. Report 5RI, Project 5533, 1965. a
Ban, N., Schmidli, J., and Schär, C.: Heavy precipitation in a changing climate: Does short-term summer precipitation increase faster?, Geophys. Res. Lett., 42, 1165–1172, 2015. a
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The parameter space of the COSMO-CLM RCM is investigated for the Central Asia CORDEX domain using a perturbed physics ensemble (PPE) with different parameter values. Results show that only a subset of model parameters presents relevant changes in model performance and these changes depend on the considered region and variable: objective calibration methods are highly necessary in this case. Additionally, the results suggest the need for calibrating an RCM when targeting different domains.