Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020-Reference-Cited by-同舟云学术

Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020

Published:2023-03-31 Issue:6 Volume:23 Page:3829-3859
ISSN:1680-7324
Container-title:Atmospheric Chemistry and Physics
language:en
Short-container-title:Atmos. Chem. Phys.

Author:

Agustí-Panareda Anna,Barré Jérôme,Massart Sébastien^ORCID,Inness Antje^ORCID,Aben Ilse,Ades Melanie,Baier Bianca C.,Balsamo Gianpaolo^ORCID,Borsdorff Tobias^ORCID,Bousserez Nicolas,Boussetta Souhail^ORCID,Buchwitz Michael^ORCID,Cantarello Luca^ORCID,Crevoisier Cyril,Engelen Richard^ORCID,Eskes Henk^ORCID,Flemming Johannes^ORCID,Garrigues Sébastien,Hasekamp Otto^ORCID,Huijnen Vincent^ORCID,Jones Luke,Kipling Zak^ORCID,Langerock Bavo,McNorton Joe,Meilhac Nicolas,Noël Stefan^ORCID,Parrington Mark^ORCID,Peuch Vincent-Henri^ORCID,Ramonet Michel^ORCID,Razinger Miha,Reuter Maximilian^ORCID,Ribas Roberto,Suttie Martin,Sweeney Colm^ORCID,Tarniewicz Jérôme^ORCID,Wu Lianghai

Abstract

Abstract. The Copernicus Atmosphere Monitoring Service (CAMS) has recently produced a greenhouse gas reanalysis (version egg4) that covers almost 2 decades from 2003 to 2020 and which will be extended in the future. This reanalysis dataset includes carbon dioxide (CO2) and methane (CH4). The reanalysis procedure combines model data with satellite data into a globally complete and consistent dataset using the European Centre for Medium-Range Weather Forecasts' Integrated Forecasting System (IFS). This dataset has been carefully evaluated against independent observations to ensure validity and to point out deficiencies to the user. The greenhouse gas reanalysis can be used to examine the impact of atmospheric greenhouse gas concentrations on climate change (such as global and regional climate radiative forcing), assess intercontinental transport, and serve as boundary conditions for regional simulations, among other applications and scientific uses. The caveats associated with changes in assimilated observations and fixed underlying emissions are highlighted, as is their impact on the estimation of trends and annual growth rates of these long-lived greenhouse gases.

Publisher

Copernicus GmbH

Subject

Atmospheric Science

Link

https://acp.copernicus.org/articles/23/3829/2023/acp-23-3829-2023.pdf

Reference141 articles.

1. Agustí-Panareda, A., Massart, S., Chevallier, F., Balsamo, G., Boussetta, S., Dutra, E., and Beljaars, A.: A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts, Atmos. Chem. Phys., 16, 10399–10418, https://doi.org/10.5194/acp-16-10399-2016, 2016.

2. Agusti-Panareda, A., Diamantakis, M., Bayona, V., Klappenbach, F., and Butz, A.: Improving the inter-hemispheric gradient of total column atmospheric CO2 and CH4 in simulations with the ECMWF semi-Lagrangian atmospheric global model, Geosci. Model Dev., 10, 1–18, https://doi.org/10.5194/gmd-10-1-2017, 2017.

3. Agustí-Panareda, A., Diamantakis, M., Massart, S., Chevallier, F., Muñoz-Sabater, J., Barré, J., Curcoll, R., Engelen, R., Langerock, B., Law, R. M., Loh, Z., Morguí, J. A., Parrington, M., Peuch, V.-H., Ramonet, M., Roehl, C., Vermeulen, A. T., Warneke, T., and Wunch, D.: Modelling CO2 weather – why horizontal resolution matters, Atmos. Chem. Phys., 19, 7347–7376, https://doi.org/10.5194/acp-19-7347-2019, 2019.

4. Agustí-Panareda, A., McNorton, J., Balsamo, G., Baier, B. C., Bousserez, N., Boussetta, S., Brunner, D., Chevallier, F., Choulga, M., Diamantakis, M., Engelen, R., Flemming, J., Granier, C. Guevara, M., Denier van der Gon, H., Elguindi, N., Haussaire, J.-M., Jung, M., Janssens-Maenhout, G., Kivi, R., Massart, S., Papale, D., Parrington, M., Razinger,, M., Sweeney, C., Vermeulen, A., and Walther, S. Global nature run data with realistic high-resolution carbon weather for the year of the Paris Agreement, Sci. Data, 9, 160, https://doi.org/10.1038/s41597-022-01228-2, 2022.

5. Alos, A. L., Bergeron, C., Buontempo, C., Thepaut, J. N., Raoult, B., and Biavati, G.: The Copernicus Climate Data Store: ECMWF's approach to providing online access to climate data and tools, AGU Fall Meeting 2019, 9–13 December 2019, San Francisco, CA, USA, AGU Fall Meeting Abstracts, vol. 2019, PA31A-05, 2019.

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