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Global nature run data with realistic high-resolution carbon weather for the year of the Paris agreement

Abstract : the CO 2 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 CO 2 , CH 4 and CO fields 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 the weather. 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 various model components and input data such as anthropogenic emissions, in preparation of a CO 2 Monitoring and Verification Support system. The relative contribution of different emissions and natural fluxes 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 deficiencies and guide further model improvements.
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https://hal.archives-ouvertes.fr/hal-03648821
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Submitted on : Friday, April 22, 2022 - 7:16:10 AM
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Anna Agustí-Panareda, Joe Mcnorton, Gianpaolo Balsamo, Bianca Baier, Nicolas Bousserez, et al.. Global nature run data with realistic high-resolution carbon weather for the year of the Paris agreement. Scientific Data , Nature Publishing Group, 2022, 9 (1), pp.160. ⟨10.1038/s41597-022-01228-2⟩. ⟨hal-03648821⟩

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