Critical analysis of CO2 measurement series acquired from international monitoring networks. Application of the BaDS background data selection criterion and estimation of growth rates, spatial distribution, and temporal variability using satellite measurement data. Application of inversion techniques to a specific event to estimate emissions affecting certain measurement stations.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1629,1405,1318,1321,1320],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-196305","rapporti","type-rapporti","status-publish","hentry","tag-capture-co2-storage","tag-climate-change","tag-development-scenarios-en","tag-emissions","tag-sustainable-development-en","targets-research","rapporti_tipologie-report-en"],"acf":{"projects":{"ID":191053,"post_author":"464","post_date":"2024-07-10 16:51:45","post_date_gmt":"2024-07-10 14:51:45","post_content":"","post_title":"Models and tools for interventions, including preventive interventions, for defending and improving grid security and resilience","post_excerpt":"Models and tools for interventions, including preventive interventions, for defending and improving grid security and resilience","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"models-and-tools-for-interventions-including-preventive-interventions-for-defending-and-improving-grid-security-and-resilience","to_ping":"","pinged":"","post_modified":"2024-08-09 16:02:23","post_modified_gmt":"2024-08-09 14:02:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/models-and-tools-for-interventions-including-preventive-interventions-for-defending-and-improving-grid-security-and-resilience\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"dont_show_hompage":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
Based on the measurement station data collected last year regarding CO2<\/sub>, a selection was made of the most complete and high-quality series, considering geographical location as well. An analysis was performed on these series to identify representative measurements of the atmospheric background. The BaDS (Background Data Selection) criterion, developed in previous years of System Research, was used for this purpose, adapting it to apply uniformly across all the stations under review.<\/p>\n The results are satisfactory, as background data were reliably selected at all stations. Based on this data, growth rates were calculated and found to be consistent, reflecting the systematic increase in CO2<\/sub> concentration. This greenhouse gas plays a major role in global warming and resulting climate changes, including extreme weather events, and is predominantly emitted by anthropogenic activities in the energy sector.<\/p>\n Spatial distribution and temporal variability of CO2<\/sub> across the European continent were then assessed using satellite data from the international Copernicus Atmosphere Monitoring Service program, and its comparability with available station measurements was evaluated. An additional interesting development involved identifying the components (fossil fuels, fires and burning, oceans, and terrestrial biosphere) impacting each measurement site using the Carbon Tracker program, which provides a quantitative estimate of CO2<\/sub> consumption and release from the Earth’s surface consistent with atmospheric observations.<\/p>\n Finally, a particular event occurring at the end of March 2020 was analyzed, characterized by an increase in CO2<\/sub> concentration at multiple measurement stations. Using inversion techniques and estimating the sources attributable to numerous fires caused by agricultural practices in the eastern part of the European continent, the impact on some stations in the European measurement network was assessed. This approach provides a useful example that can be used next year to identify and estimate anthropogenic sources related to the energy sector and to estimate national emissions through inverse modeling.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":166756,"id":166756,"title":"20010745","filename":"20010745.pdf","filesize":8500060,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2022\/05\/20010745.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/analisi-critica-delle-misure-di-fondo-dei-gas-climalteranti-eseguite-in-ambito-nazionale-e-europeo\/attachment\/20010745\/","alt":"","author":"93","description":"","caption":"","name":"20010745","status":"inherit","uploaded_to":166755,"date":"2022-05-16 08:58:26","modified":"2022-05-16 08:58:26","menu_order":0,"mime_type":"application\/pdf","type":"application","subtype":"pdf","icon":"https:\/\/www.rse-web.it\/wp-includes\/images\/media\/document.png"}}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2020-12-30","autori":"F. D\u2019Assisi Apadula, D. Heltai, A. Lanza (RSE S.P.A.)","rapporto":"","rif_rse":"20010745"},"satellite_post_url":""},"yoast_head":"\n