Event-based analysis to evaluate the performance of COSMO – CLM model with the urban parametrization

14:00 Tuesday 28 May


Room S10


Mario Raffa (Italy) 1; Marianna Adinolfi (Italy) 1; Paola Mercogliano (Italy) 1,2

1 - CMCC Foundation (Euro-Mediterranean Center on Climate Change); 2 - C.I.R.A. -Italian Aerospace Research Center

The increased frequency and intensity of extreme weather and climate events, in several geographical context, are among the main effects caused by climate changes on the urban environment. Hazard of extreme phenomena, local vulnerability and risk assessments are supported by detailed climate models to develop and implement adaptation measures towards ‘climate-resilient cities’.

Therefore, this study aims to show preliminary results of climate simulation at very high resolution of regional climate model (RCM), in the frame of CORDEX FPS-CPS (Flagship Pilot Studies – Convection Permitting Scales). The CORDEX FPS-CPS project aims to investigate convective-scale events, their processes and their changes in a few key regions of Europe and the Mediterranean, using convection-permitting RCMs.

The proposed climate simulation has been performed with the RCM COSMO-CLM (CCLM) and urban parametrization in the period from 1999 to 2010. ERA-Interim Reanalysis are first dynamically downscaled at the intermediate resolution of 0.11¡ (~ 12 km) over the EURO-CORDEX domain, and then at the resolution of 0.0275¡ (~ 3 km) over the Greater Alpine Region (GAR).

The results refer to a case study on the Austria (within the GAR domain) and are presented in two main points: (i) the validation of the model, comparing the simulated total precipitations against a detailed (1 km) observational dataset for an intense summer precipitation event and (ii) the analysis of the effects on the Wien metropolitan area climate features of including or not urban parameterization in the simulation.

The validation shows a good agreement between the model and observation datasets, highlighting the capability of the proposed approach to simulate extreme events. Moreover, the results support the use of the urban parametrization to catch the local patterns of several atmospheric variables in the urban context.