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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Basit Ali 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
  • Matthias Sühring

External Research Organisations

  • Freie Universität Berlin (FU Berlin)
  • Institute for Advanced Sustainability Studies e.V. (IASS)
  • Harz Energie GmbH & Co. KG
  • University of Bergen (UiB)
  • University of Bern
  • Karlsruhe Institute of Technology (KIT)
  • University of Helsinki
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Details

Original languageEnglish
Pages (from-to)1171-1193
Number of pages23
JournalGeoscientific Model Development
Volume14
Issue number2
Publication statusPublished - 1 Mar 2021

Abstract

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.

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applications . / Ali Khan, Basit; Banzhaf , Sabine ; Chan, Edward C. et al.
In: Geoscientific Model Development, Vol. 14, No. 2, 01.03.2021, p. 1171-1193.

Research output: Contribution to journalArticleResearchpeer review

Ali Khan, B, Banzhaf , S, Chan, EC, 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, vol. 14, no. 2, pp. 1171-1193. https://doi.org/10.5194/gmd-2020-286, https://doi.org/10.5194/gmd-14-1171-2021
Ali Khan, B., Banzhaf , S., Chan, E. C., 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. https://doi.org/10.5194/gmd-2020-286, https://doi.org/10.5194/gmd-14-1171-2021
Ali Khan B, Banzhaf S, Chan EC, Forkel R, Kanani-Sühring F, Ketelsen K et al. Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applications . Geoscientific Model Development. 2021 Mar 1;14(2):1171-1193. doi: 10.5194/gmd-2020-286, 10.5194/gmd-14-1171-2021
Ali Khan, Basit ; Banzhaf , Sabine ; Chan, Edward C. et al. / Development of an atmospheric chemistry model coupled to the PALM model system 6.0 : Implementation and first applications . In: Geoscientific Model Development. 2021 ; Vol. 14, No. 2. pp. 1171-1193.
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title = "Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applications ",
abstract = "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.",
author = "{Ali Khan}, Basit and Sabine Banzhaf and Chan, {Edward C.} and Renate Forkel and Farah Kanani-S{\"u}hring and Klaus Ketelsen and Mona Kurppa and Bj{\"o}rn Maronga and Matthias Mauder and Siegfried Raasch and Emmanuele Russo and Martijn Schaap and Matthias S{\"u}hring",
note = "Funding Information: Acknowledgements. This work was supported by the North-German Supercomputing Alliance (HLRN). We are grateful to the HLRN supercomputer staff, especially Stefan Wollny for his continual help and support. Wieke Heldens and Julian Zeidler of the German Aerospace Center (DLR) provided the geographical information data; Kristina Winderlich and Eckhard Kadasch of German Meteorological Service (DWD) provided preprocessed COSMO-DE data and developed the INIFOR software utility to make COSMO data readable to PALM. Funding Information: by the MOSAIK and MOSAIK-2 projects, which are funded by the German Federal Ministry of Education and Research (BMBF) under grant 01LP1601A and 01LP1911H within the framework of Research for Sustainable Development (FONA; http://www.fona.de, last access: 10 August 2020).",
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T1 - Development of an atmospheric chemistry model coupled to the PALM model system 6.0

T2 - Implementation and first applications

AU - Ali Khan, Basit

AU - Banzhaf , Sabine

AU - Chan, Edward C.

AU - Forkel, Renate

AU - Kanani-Sühring, Farah

AU - Ketelsen, Klaus

AU - Kurppa, Mona

AU - Maronga, Björn

AU - Mauder, Matthias

AU - Raasch, Siegfried

AU - Russo, Emmanuele

AU - Schaap, Martijn

AU - Sühring, Matthias

N1 - Funding Information: Acknowledgements. This work was supported by the North-German Supercomputing Alliance (HLRN). We are grateful to the HLRN supercomputer staff, especially Stefan Wollny for his continual help and support. Wieke Heldens and Julian Zeidler of the German Aerospace Center (DLR) provided the geographical information data; Kristina Winderlich and Eckhard Kadasch of German Meteorological Service (DWD) provided preprocessed COSMO-DE data and developed the INIFOR software utility to make COSMO data readable to PALM. Funding Information: by the MOSAIK and MOSAIK-2 projects, which are funded by the German Federal Ministry of Education and Research (BMBF) under grant 01LP1601A and 01LP1911H within the framework of Research for Sustainable Development (FONA; http://www.fona.de, last access: 10 August 2020).

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