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Journal Article

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


Khan,  Basit
External Organizations;

Banzhaf,  Sabine
External Organizations;


Chan,  Edward
IASS Institute for Advanced Sustainability Studies Potsdam;

Forkel,  Renate
External Organizations;

Kanani-Sühring,  Farah
External Organizations;

Ketelsen,  Klaus
External Organizations;

Kurppa,  Mona
External Organizations;

Maronga,  Björn
External Organizations;

Mauder,  Matthias
External Organizations;

Raasch,  Siegfried
External Organizations;

Russo,  Emmanuele
External Organizations;

Schaap,  Martijn
External Organizations;

Sühring,  Matthias
External Organizations;

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Fulltext (public)

(Publisher version), 9MB

Supplementary Material (public)

(Supplementary material), 191KB


Khan, B., Banzhaf, S., Chan, E., Forkel, R., Kanani-Sühring, F., Ketelsen, K., Kurppa, M., Maronga, B., Mauder, M., Raasch, S., Russo, E., Schaap, M., Sühring, M. (2021): Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applications. - Geoscientific Model Development, 14, 2, 1171-1193.

Cite as: https://publications.iass-potsdam.de/pubman/item/item_6000497
In this article we describe the implementation of an online-coupled gas-phase chemistry model in the turbulence-resolving PALM model system 6.0 (formerly an abbreviation for Parallelized Large-eddy Simulation Model and now an independent name). The new chemistry model is implemented in the PALM model as part of the PALM-4U (PALM for urban applications) components, which are designed for application of the PALM model in the urban environment (Maronga et al., 2020). The latest version of the Kinetic PreProcessor (KPP, 2.2.3) has been utilized for the numerical integration of gas-phase chemical reactions. A number of tropospheric gas-phase chemistry mechanisms of different complexity have been implemented ranging from the photostationary state (PHSTAT) to mechanisms with a strongly simplified volatile organic compound (VOC) chemistry (e.g. the SMOG mechanism from KPP) and the Carbon Bond Mechanism 4 (CBM4; Gery et al., 1989), which includes a more comprehensive, but still simplified VOC chemistry. Further mechanisms can also be easily added by the user. In this work, we provide a detailed description of the chemistry model, its structure and input requirements along with its various features and limitations. A case study is presented to demonstrate the application of the new chemistry model in the urban environment. The computation domain of the case study comprises part of Berlin, Germany. Emissions are considered using street-type-dependent emission factors from traffic sources. Three chemical mechanisms of varying complexity and one no-reaction (passive) case have been applied, and results are compared with observations from two permanent air quality stations in Berlin that fall within the computation domain. Even though the feedback of the model's aerosol concentrations on meteorology is not yet considered in the current version of the model, the results show the importance of online photochemistry and dispersion of air pollutants in the urban boundary layer for high spatial and temporal resolutions. The simulated NOx and O3 species show reasonable agreement with observations. The agreement is better during midday and poorest during the evening transition hours and at night. The CBM4 and SMOG mechanisms show better agreement with observations than the steady-state PHSTAT mechanism.