Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/139118
Title: The fifth generation regional climate modeling system, RegCM5 : the first convection-permitting European wide simulation and validation over the CORDEX-CORE domains
Authors: Coppola, Erika
Giorgi, Filippo
Giuliani, Graziano
Pichelli, Emanuela
Ciarlo, James M.
Raffaele, Francesca
Nogherotto, Rita
Reboita, Michelle Simões
Lu, Chen
Zazulie, Natalia
Vargas-Heinz, Luiza
Andrade Cardoso, Andressa
de Leeuw, Johannes
Keywords: Climatic changes -- Computer simulation
Meteorology -- Mathematical models
Meteorology -- Mathematical models
Europe Climate Simulation methods
Convection (Meteorology)
Issue Date: 2024
Citation: Coppola, E., Giorgi, F., Giuliani, G., Pichelli, E., Ciarlo, J. M., Raffaele, F., ... & de Leeuw, J. (2024). The Fifth Generation Regional Climate Modeling System, RegCM5: the first Convection-Permitting European wide simulation and validation over the CORDEX-CORE domains. Research Square, Retrieved from https://www.researchsquare.com/article/rs-5305206/v1.
Abstract: The Regional Climate Modeling system (RegCM) has undergone a significant evolution over the years, leading for example to the widely used versions RegCM4 and RegCM4-NH. In response to the demand for higher resolution, a new version of the system has been developed, RegCM5, incorporating the non-hydrostatic dynamical core of the MOLOCH weather prediction model. In this paper we assess the RegCM5's performance for 9 CORDEX-CORE domains,including a pan-European domain at convection-permitting resolution. We fi nd temperature biases generally in the range of -2 to 2 degrees Celsius, with a larger positive bias in the northernmost regions of North America and Asia during winter, linked to cloud water overestimation.There are cold biases over Central Asia and the Tibetan Plateau, possibly due to sparse station coverage. The model exhibits a prevailing cold bias in maximum temperature and warm bias in minimum temperature, associated with a systematic overestimation of lower-level cloud fraction, especially in winter. Taylor diagrams indicate a high spatial temperature pattern correlation with ERA5 and CRUdata, except in South America and the Caribbean region. The precipitation evaluation shows an overestimation in South America, East Asia, and Africa. RegCM5 improves the daily precipitation distribution compared to RegCM4, particularly at high intensities. The analysis of wind fields confirms the model's ability to simulate monsoon circulations. The assessment of tropical cyclone tracks highlights a strong sensitivity to the tracking algorithms, thus necessitating a careful model interpretation. Over the European region, the convection permitting simulations especially improve the diurnal cycle of precipitation and the hourly precipitation intensities.
URI: https://www.um.edu.mt/library/oar/handle/123456789/139118
Appears in Collections:Scholarly Works - InsESRSF



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