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The CHIMERE chemistry-transport model v2023r1

  • Laurent Menut
  • , Arineh Cholakian
  • , Romain Pennel
  • , Guillaume Siour
  • , Sylvain Mailler
  • , Myrto Valari
  • , Lya Lugon
  • , Yann Meurdesoif
  • Université Pierre et Marie Curie
  • Lab. Interuniversitaire Systemes
  • UVSQ

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

24 Citations (Scopus)

Résumé

A new version of the CHIMERE model is presented. This version contains both computational and physico-chemical changes. The computational changes make it easy to choose the variables to be extracted as a result, including values of maximum sub-hourly concentrations. Performance tests show that the model is 1.5 to 2 times faster than the previous version for the same setup. Processes such as turbulence, transport schemes and dry deposition have been modified and updated. Optimization was also performed for the management of emissions such as anthropogenic and mineral dust. The impact of fires on wind speed, soil properties and leaf area index (LAI) was added. Pollen emissions, transport and deposition were added for birch, ragweed, olive and grass. The model is validated with a simulation covering Europe with a 60km×60km resolution and the entire year of 2019. Results are compared to various measurements, and statistical scores show that the model provides better results than the previous versions.

langue originaleAnglais
Pages (de - à)5431-5457
Nombre de pages27
journalGeoscientific Model Development
Volume17
Numéro de publication14
Les DOIs
étatPublié - 17 juil. 2024

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