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

Agustí-Panareda, Anna ; McNorton, Joe ; Balsamo, Gianpaolo ; Baier, Bianca C. ; Bousserez, Nicolas ; Boussetta, Souhail ; Chevallier, Frédéric ; Choulga, Margarita ; Diamantakis, Michail and Engelen, Richard , et al. (2022) In Scientific Data 9(1).
Abstract

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 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... (More)

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 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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Data
volume
9
issue
1
article number
160
publisher
Nature Publishing Group
external identifiers
  • pmid:35410420
  • scopus:85128042382
ISSN
2052-4463
DOI
10.1038/s41597-022-01228-2
language
English
LU publication?
yes
additional info
Funding Information: The Copernicus Atmosphere Monitoring Service is operated by the European Centre for Medium-Range Weather Forecasts on behalf of the European Commission as part of the Copernicus Programme ( http://copernicus.eu ). The CHE and CoCO2 projects have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776186 and No 958927. We also thank the FLUXNET and TCCON PIs for providing the data used for the validation of the nature run dataset. Funding Information: The Copernicus Atmosphere Monitoring Service is operated by the European Centre for Medium-Range Weather Forecasts on behalf of the European Commission as part of the Copernicus Programme (http://copernicus.eu). The CHE and CoCO2 projects have received funding from the European Union?s Horizon 2020 research and innovation programme under grant agreement No 776186 and No 958927. We also thank the FLUXNET and TCCON PIs for providing the data used for the validation of the nature run dataset. Publisher Copyright: © 2022, The Author(s).
id
5c695eb0-38ee-4c04-830f-0b121a4b6913
date added to LUP
2023-06-16 15:46:44
date last changed
2024-04-19 22:55:39
@article{5c695eb0-38ee-4c04-830f-0b121a4b6913,
  abstract     = {{<p>The CO<sub>2</sub> 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<sub>2</sub>, CH<sub>4</sub> 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<sub>2</sub> 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.</p>}},
  author       = {{Agustí-Panareda, Anna and McNorton, Joe and Balsamo, Gianpaolo and Baier, Bianca C. and Bousserez, Nicolas and Boussetta, Souhail and Chevallier, Frédéric and Choulga, Margarita and Diamantakis, Michail and Engelen, Richard and Flemming, Johannes and Granier, Claire and Guevara, Marc and Denier van der Gon, Hugo and Elguindi, Nellie and Haussaire, Jean Matthieu and Jung, Martin and Janssens-Maenhout, Greet and Kivi, Rigel and Massart, Sébastien and Papale, Dario and Parrington, Mark and Razinger, Miha and Sweeney, Colm and Vermeulen, Alex and Walther, Sophia}},
  issn         = {{2052-4463}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Data}},
  title        = {{Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement}},
  url          = {{http://dx.doi.org/10.1038/s41597-022-01228-2}},
  doi          = {{10.1038/s41597-022-01228-2}},
  volume       = {{9}},
  year         = {{2022}},
}