The CHIMERE v2020r1 online chemistry-transport model
-
Published:2021-11-05
Issue:11
Volume:14
Page:6781-6811
-
ISSN:1991-9603
-
Container-title:Geoscientific Model Development
-
language:en
-
Short-container-title:Geosci. Model Dev.
Author:
Menut Laurent, Bessagnet Bertrand, Briant Régis, Cholakian Arineh, Couvidat Florian, Mailler Sylvain, Pennel RomainORCID, Siour Guillaume, Tuccella Paolo, Turquety Solène, Valari Myrto
Abstract
Abstract. The CHIMERE chemistry-transport model v2020r1 replaces the v2017r5 version and provides numerous novelties. The most important of these is the online coupling with the Weather Research and Forecasting (WRF) meteorological model via the OASIS3 – Model Coupling Toolkit (MCT) external coupler. The model can still be used in offline mode; the online mode enables us to take into account the direct and indirect effects of aerosols on meteorology. This coupling also enables using the meteorological parameters with sub-hourly time steps. Some new parameterizations are implemented to increase the model performance and the user's choices: dimethyl sulfide (DMS) emissions, additional schemes for secondary organic aerosol (SOA) formation with volatility basis set (VBS) and H2O, improved schemes for mineral dust, biomass burning, and sea-salt emissions. The NOx emissions from lightning are added. The model also includes the possibility to use the operator-splitting integration technique. The subgrid-scale variability calculation of concentrations due to emission activity sectors is now possible. Finally, a new vertical advection scheme has been implemented, which is able to simulate more correctly long-range transport of thin pollutant plumes.
Publisher
Copernicus GmbH
Reference91 articles.
1. Abdul-Razzak, H. and Ghan, S. J.: A parameterization of aerosol activation 3.
Sectional representation, J. Geophys. Res.-Atmos., 107,
AAC 1–1–AAC 1–6, https://doi.org/10.1029/2001JD000483, 2002. a 2. Alfaro, S. C. and Gomes, L.: Modeling mineral aerosol production by wind
erosion: Emission intensities and aerosol size distribution in source
areas, J of Geophysical Research, 106, 18,075–18,084, 2001. a 3. Andreae, M. and Rosenfeld, D.: Aerosol-cloud-precipitation interactions, Part
1. The nature and sources of cloud-active aerosols, Earth-Sci. Rev.,
89, 13–41, https://doi.org/10.1016/j.earscirev.2008.03.001, 2008. a 4. Baklanov, A., Schlünzen, K., Suppan, P., Baldasano, J., Brunner, D.,
Aksoyoglu, S., Carmichael, G., Douros, J., Flemming, J., Forkel, R.,
Galmarini, S., Gauss, M., Grell, G., Hirtl, M., Joffre, S., Jorba, O., Kaas,
E., Kaasik, M., Kallos, G., Kong, X., Korsholm, U., Kurganskiy, A., Kushta,
J., Lohmann, U., Mahura, A., Manders-Groot, A., Maurizi, A., Moussiopoulos,
N., Rao, S. T., Savage, N., Seigneur, C., Sokhi, R. S., Solazzo, E., Solomos,
S., Sørensen, B., Tsegas, G., Vignati, E., Vogel, B., and Zhang, Y.:
Online coupled regional meteorology chemistry models in Europe: current
status and prospects, Atmos. Chem. Phys., 14, 317–398,
https://doi.org/10.5194/acp-14-317-2014, 2014. a 5. Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of
Mineral aerosol radiative forcings suggests a better agreement with satellite
and AERONET data, Atmos. Chem. Phys., 7, 81–95,
https://doi.org/10.5194/acp-7-81-2007, 2007. a, b
Cited by
45 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|