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

• DOI: 10.1038/s41597-022-01228-2
• Publication Date: 2022-04-11T10:04:18Z
• Authors: Anna Agustí-Panareda; Joe McNorton; Gianpaolo Balsamo; Bianca C. Baier; Nicolas Bousserez; Souhail Boussetta; Dominik Brunner; Frédéric Chevallier; Margarita Choulga; Michail Diamantakis; Richard Engelen; Johannes Flemming; Claire Granier; Marc Guevara; Hugo Denier van d...; Nellie Elguindi; Jean-Matthieu Hau...; Martin Jung; Greet Janssens-Ma...; Rigel Kivi; Sébastien Massart; Dario Papale; Mark Parrington; Miha Razinger; Colm Sweeney; Alex Vermeulen; Sophia Walther
• Keywords: Statistics and Probability; Data Descriptor; Atmospheric chemistry; 550; Science; 910; Library and Information Sciences; 7. Clean energy; 01 natural sciences; Education; Simulació per ordinador; 11. Sustainability; [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment; 0105 earth and related environmental sciences; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere; Q; Carbon cycle; Pollution; [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment; Computer Science Applications; Carbon dioxide mitigation; Carbon dioxide; 13. Climate action; Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica; [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; Statistics, Probability and Uncertainty; environment; Information Systems; :Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica [Àrees temàtiques de la UPC]

AbstractThe 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 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 CO2 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.