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  • 标题:Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement
  • 本地全文:下载
  • 作者:anna agustí-Panareda ; Joe McNorton ; Gianpaolo Balsamo
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-13
  • DOI:10.1038/s41597-022-01228-2
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:the CO2 Human Emissions project has generated realistic high-resolution 9 km global simulations for atmospheric carbon tracers referred to as nature runs to foster carbon-cycle research applications with current and planned satellite missions, as well as the surge of in situ observations. Realistic atmospheric CO2, CH4 and CO felds can provide a reference for assessing the impact of proposed designs of new satellites and in situ networks and to study atmospheric variability of the tracers modulated by theweather. The simulations spanning 2015 are based on the Copernicus Atmosphere Monitoring Service forecasts at the European Centre for Medium Range Weather Forecasts, with improvements in variousmodel components and input data such as anthropogenic emissions, in preparation of a CO2 Monitoring and Verifcation Support system . The relative contribution of diferent emissions and natural fuxes towards observed atmospheric variability is diagnosed by additional tagged tracers in the simulations. The evaluation of such high-resolution model simulations can be used to identify model defciencies and guide further model improvements.
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