EGU21-12556, updated on 04 Mar 2021
https://doi.org/10.5194/egusphere-egu21-12556
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

The CHE global nature run: A high-resolution simulation providing realistic global carbon weather for the year of the Paris Agreement

Anna Agusti-Panareda1, Joe McNorton1, and the CHE nature run team*
Anna Agusti-Panareda and Joe McNorton and the CHE nature run team
  • 1ECMWF, Research, Reading, United Kingdom of Great Britain – England, Scotland, Wales (anna.agusti-panareda@ecmwf.int)
  • *A full list of authors appears at the end of the abstract

High resolution simulations of carbon dioxide, methane and carbon monoxide (CO2, CH4 and CO) have been produced as part of the CO2 Human Emissions (CHE) project in order to assist carbon-cycle research and applications, such as the design of a CO2 Monitoring Verification Support (CO2MVS) capacity in support of the Paris Agreement. This dataset provides realistic variability of the carbon tracers in the atmosphere modulated by the weather and the underlying surface fluxes as shown by comparison with independent observations. It can therefore provide a reference for atmospheric inversion systems that use atmospheric observations from satellites and in situ networks to derive natural surface fluxes and anthropogenic emissions of CO2, CH4 and CO. Additional tagged tracers are used to identify the atmospheric enhancements associated with the different surface fluxes. These flux enhancements can shed light into the potential of new satellites to detect the emission signals in the atmosphere. As satellites observe the mean concentration of carbon tracers over a partial/total atmospheric column, the CHE nature run is also used here to assess the contribution of total column variability from different layers in the atmosphere. We find that the variability in the free troposphere is often dominating the variability of the total column for CO2, CH4 and CO, highlighting the role of long-range transport to represent variability of carbon tracers in the atmosphere, as well as the importance of assessing the accuracy of long-range transport in chemical transport models used in atmospheric inversions.

CHE nature run team:

Anna Agustí-Panareda1, Joe McNorton1, Michail Diamantakis1, Gianpaolo Balsamo1, Nicolas Bousserez1, Souhail Boussetta1, Dominik Brunner2, Jean-Matthieu Haussaire2, Frédéric Chevallier3, Margarita Choulga1, Richard Engelen1, Johannes Flemming1, Claire Granier4, Marc Guevara5, Hugo Denier van der Gon6, Nellie Elguindi4, Martin Jung7, Greet Maenhout9, Sébastien Massart1, Dario Papale10, Mark Parrington1, Miha Razinger1, Alex Vermeulen11, Sophia Walter7

How to cite: Agusti-Panareda, A. and McNorton, J. and the CHE nature run team: The CHE global nature run: A high-resolution simulation providing realistic global carbon weather for the year of the Paris Agreement, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12556, https://doi.org/10.5194/egusphere-egu21-12556, 2021.

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