Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-1171-2021
https://doi.org/10.5194/gmd-14-1171-2021
Model description paper
 | 
01 Mar 2021
Model description paper |  | 01 Mar 2021

Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications

Basit Khan, Sabine Banzhaf, Edward C. Chan, Renate Forkel, Farah Kanani-Sühring, Klaus Ketelsen, Mona Kurppa, Björn Maronga, Matthias Mauder, Siegfried Raasch, Emmanuele Russo, Martijn Schaap, and Matthias Sühring

Related authors

Aerosol composition, air quality, and boundary layer dynamics in the urban background of Stuttgart in winter
Hengheng Zhang, Wei Huang, Xiaoli Shen, Ramakrishna Ramisetty, Junwei Song, Olga Kiseleva, Christopher Claus Holst, Basit Khan, Thomas Leisner, and Harald Saathoff
Atmos. Chem. Phys., 24, 10617–10637, https://doi.org/10.5194/acp-24-10617-2024,https://doi.org/10.5194/acp-24-10617-2024, 2024
Short summary
GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system
Dongqi Lin, Jiawei Zhang, Basit Khan, Marwan Katurji, and Laura E. Revell
Geosci. Model Dev., 17, 815–845, https://doi.org/10.5194/gmd-17-815-2024,https://doi.org/10.5194/gmd-17-815-2024, 2024
Short summary
Investigating multiscale meteorological controls and impact of soil moisture heterogeneity on radiation fog in complex terrain using semi-idealised simulations
Dongqi Lin, Marwan Katurji, Laura E. Revell, Basit Khan, and Andrew Sturman
Atmos. Chem. Phys., 23, 14451–14479, https://doi.org/10.5194/acp-23-14451-2023,https://doi.org/10.5194/acp-23-14451-2023, 2023
Short summary
WRF4PALM v1.0: a mesoscale dynamical driver for the microscale PALM model system 6.0
Dongqi Lin, Basit Khan, Marwan Katurji, Leroy Bird, Ricardo Faria, and Laura E. Revell
Geosci. Model Dev., 14, 2503–2524, https://doi.org/10.5194/gmd-14-2503-2021,https://doi.org/10.5194/gmd-14-2503-2021, 2021
Short summary

Cited articles

Baker, J., Walker, H. L., and Cai, X.: A study of the dispersion and transport of reactive pollutants in and above street canyons – A large eddy simulation, Atmos. Environ., 38, 6883–6892, https://doi.org/10.1016/j.atmosenv.2004.08.051, 2004. a, b, c, d
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
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities, Mon. Weather Rev., 139, 3887–3905, 2011. a
Barbaro, E., Krol, M. C., and de Arellano, J. V.-G.: Numerical simulation of the interaction between ammonium nitrate aerosol and convective boundary-layer, Atmos. Environ., 105, 202–211, https://doi.org/10.1016/j.atmosenv.2015.01.048, 2015. a
Blocken, B.: LES over RANS in building simulation for outdoor and indoor applications: a foregone conclusion?, in: Building Simulation, Springer, Berlin Heidelberg, 821–870, 2018. a
Download
Short summary
An atmospheric chemistry model has been implemented in the microscale PALM model system 6.0. This article provides a detailed description of the model, its structure, input requirements, various features and limitations. Several pre-compiled ready-to-use chemical mechanisms are included in the chemistry model code; however, users can also easily implement other mechanisms. A case study is presented to demonstrate the application of the new chemistry model in the urban environment.
Share