Power utilities emphasize high-resolution reanalysis datasets for resilience planning against extreme weather. RSE S.p.A. developed MERIDA HRES, a 4 km resolution dataset for Italy, available from 1986. Validated against MERIDA (7 km) and ERA5, it excels in capturing precipitation and wind extremes despite a cold bias.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1305,1341,1340,1330],"targets":[1314,1317],"pubblicazioni_tipologie":[773],"class_list":["post-203422","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-energy-efficiency-en","tag-infrastructure","tag-resilience","tag-security-en","targets-press-media-en","targets-research","pubblicazioni_tipologie-isi-article-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188405,"post_author":"93","post_date":"2024-06-13 15:10:12","post_date_gmt":"2024-06-13 13:10:12","post_content":"","post_title":"Resilience and Security for Energy Systems","post_excerpt":"The goal of the project is to increase the security and resilience of the energy system in the face of greater environmental threats due to climate change, through the development of tools to support institutions and operators and the definition of an optimal set of actions to be adopted for this purpose.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"resilience-and-security-for-energy-systems","to_ping":"","pinged":"","post_modified":"2024-07-02 10:30:30","post_modified_gmt":"2024-07-02 08:30:30","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/resilience-and-security-for-energy-systems\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
Power utilities are increasingly emphasizing the need for high-resolution reanalysis datasets to develop resilience plans for protecting and managing infrastructure against extreme weather events. In response, Ricerca Sul Sistema Energetico (RSE) S.p.A. created the new MEteorological Reanalysis Italian DAtaset (MERIDA) High-RESolution (HRES) reanalysis, a 4 km resolution dataset with explicit convection specifically designed for Italy.<\/p>\n
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This dataset, publicly available from 1986 to the present day, has been evaluated and compared with the previously developed MERIDA reanalysis dataset (7 km resolution over Italy) and ERA5, the global reanalysis driver.<\/p>\n
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The validation is conducted across different scales (i.e., from climatology to single extreme events) and for multiple variables (i.e., 2-meter temperature, daily total precipitation, and 10-meter wind speed). Specific cases, such as a convective storm in July 2016 in northern Italy near Bergamo, and the more synoptically driven Vaia storm in October 2018, are analyzed to illustrate the dataset’s potential in capturing precipitation and wind extremes. Additionally, the Arbus wildfire event in Sardinia is examined to showcase a multi-variable application for assessing fire weather hazard.<\/p>\n
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Through performance maps and statistical analyses, MERIDA HRES’s highlights its capability to represent both long-term statistics and extreme events. Despite a consistent cold temperature bias across Italy, with higher peaks over mountainous regions, the performance of precipitation and wind outperforms both MERIDA and ERA5 in all analyzed cases. This demonstrates the significant potential of this product for multiple applications in Italy.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/rmets.onlinelibrary.wiley.com\/doi\/10.1002\/met.70011?af=R"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2024-11-08","autori":"F. Viterbo, S. Sperati, B. Vitali, F. D'Amico, R. Bonanno, M. Lacavalla (RSE S.p.A.), F. Cavalleri (Universit\u00e0 di Milano)","destinazione":"Meteorological Applications, Royal Meteorological Society, Vol. 31, Issue 6, 8 Novembre 2024","rif_rse":"24006182"},"satellite_post_url":""},"yoast_head":"\n