TY - JOUR
T1 - The CHIMERE chemistry-transport model v2023r1
AU - Menut, Laurent
AU - Cholakian, Arineh
AU - Pennel, Romain
AU - Siour, Guillaume
AU - Mailler, Sylvain
AU - Valari, Myrto
AU - Lugon, Lya
AU - Meurdesoif, Yann
N1 - Publisher Copyright:
© 2024 Laurent Menut et al.
PY - 2024/7/17
Y1 - 2024/7/17
N2 - 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.
AB - 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.
U2 - 10.5194/gmd-17-5431-2024
DO - 10.5194/gmd-17-5431-2024
M3 - Article
AN - SCOPUS:85199144125
SN - 1991-959X
VL - 17
SP - 5431
EP - 5457
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 14
ER -