Scholarly record
A SENSITIVITY STUDY OF THE NON-HYDROSTATIC REGIONAL CLIMATE MODEL REGCM-4.7.1 TO PHYSICAL PARAMETRIZATION SCHEMES OVER THE BALKAN PENINSULA AND BULGARIA
Abstract
The aim of this study is to present preliminary results of testing the new non-hydrostatic dynamic core of the regional climate model RegCM4.7.1 by varying different parametrization schemes over the Balkan Peninsula and Bulgaria. A one-way double nesting technique was applied, employing a mother domain with 15 km grid spacing and a nested domain with 3 km grid spacing. Twenty test simulations were performed with a model resolution of 15 km for the year 2000 on a Lambert Conformal Conic projection and 12 test simulations with a model resolution of 3 km for one monthJanuary 2000. Two planetary boundary layer schemes (UW PBL and Holtslag), four cumulus schemes (Emanuel, Grell, Tiedke and Kain-Fritsch), three explicit moisture schemes (Nogherotto-Tompkins, WSM5 and SUBEX) and two shallow convection configurations (MM5 and Tiedke) were tested. We used ERA-Interim reanalysis as boundary conditions for the 15 km runs with 0.75-degree horizontal resolution. The results are presented for several model output parameters (precipitation, temperature, surface pressure and cloud fraction cover). The output is compared with E-OBS observational dataset, satellite-based observations and ERA-Interim reanalysis. Based on the results, the model is sensitive to the choice of different parametrization schemes. The 15 km simulations overestimate the precipitation and underestimate the temperature in all scheme configurations. The biggest biases in precipitation and surface pressure we found in simulations with combinations with Nogherotto-Tompkins moisture scheme. In the case of 3 km simulations, UW PBL scheme with WSM5 moisture configurations and Nogherotto-Tompkins configurations gave the largest biases for the studied territory.
Publication Impact Profile
Publication details
References14
Giorgi F. et al., RegCM4: model description and preliminary tests over multiple CORDEX domains. Clim Res 52:7-29, 2012 DOI: 10.3354/cr01018
Coppola, E. et al.,, Non-Hydrostatic RegCM4 (RegCM4-NH): model description and case studies over multiple domains, Geosci. Model Dev., 14, 7705-7723, DOI: 10.5194/gmd-14-7705-2021 2021.
Prein, A. F. et al., A review on regional convection-permitting climate modeling: demonstrations, prospects, and challenges, Rev. Geophys., 53, 323-361, 2015. DOI: 10.1002/2014rg000475
Coppola E et al., A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean. Clim Dyn 55:3-34. DOI: 10.1007/s00382-018-4521-8 2018.
Giorgi, F. et al., ictp-esp/RegCM: Paper Release, Zenodo [code], DOI: 10.5281/zenodo.4603556 2021.
Ban, N. et al., The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation, Clim. Dynam., 57, 275- 302, DOI: 10.1007/s00382- 021-05708-w, 2021.
Pichelli, E. et al., The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: Historical and future simulations of precipitation. Clim. Dyn. 2021, 56, 3581-3602 DOI: 10.1007/s00382-021-05657-4
Stocchi, P. et al., Non-Hydrostatic Regcm4 (Regcm4-NH): Evaluation of Precipitation Statistics at the Convection-Permitting Scale over Different Domains. Atmosphere 2022, 13, 861. DOI: 10.3390/atmos13060861
Kalmar T, et al., A sensitivity analysis of the different setups of the RegCM4.5 model for the Carpathian region. Int J Climatol. 2021;41 (Suppl. 1): E1180-E1201. DOI: 10.1002/joc.6761
Velikou, K. et al., Sensitivity analysis of RegCM4 model: present time simulations over the Mediterranean. Theoretical and Applied Climatology, 136(3-4), 1185-1208, 2019 DOI: 10.1007/s00704-018-2547-9
Guttler, I. Et al., Sensitivity of the regional climate model RegCM4.2 to planetary boundary layer parameterisation. Climate Dynamics, 43(7-8), 1753-1772, 2014 https://doi.org/10.1007/ s00382-013-2003-6. DOI: 10.1007/s00382-013-2003-6
Dee, D. P. et al., The ERA Interim reanalysis: configuration and performance of the data assimilation system. Q.J.R. Meteor. Soc., 137, 553-597, 2011 DOI: 10.1002/qj.828
Cornes, R., G. van der Schrier, E.J.M. van den Besselaar, and P.D. Jones. 2018: An Ensemble Version of the E-OBS Temperature and Precipitation Datasets, J. Geophys. Res. Atmos., 123. DOI: 10.1029/2017jd028200
Stockli, R et al., (2017): CM SAF ClOud Fractional Cover dataset from METeosat First and Second Generation - Edition 1 (COMET Ed. 1), Satellite Application Facility on Climate Monitoring, DOI: 10.5676/eum_saf_cm/cfc_meteosat/v001
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

