Preprints
https://doi.org/10.5194/gmd-2021-111
https://doi.org/10.5194/gmd-2021-111

Submitted as: model description paper 10 May 2021

Submitted as: model description paper | 10 May 2021

Review status: this preprint is currently under review for the journal GMD.

Inline Coupling of Simple and Complex Chemistry Modules within the Global Weather Forecast model FIM (FIM-Chem v1)

Li Zhang1,2, Georg Grell2, Stuart McKeen1,3, Ravan Ahmadov1,2, Karl Froyd1,3, and Daniel Murphy3 Li Zhang et al.
  • 1Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
  • 2NOAA/Global Systems Laboratory, Boulder, CO, USA
  • 3NOAA/Chemical Sciences Laboratory, Boulder, CO, USA

Abstract. The global Flow-following finite-volume Icosahedral Model (FIM), which was developed in the Global Systems Laboratory of NOAA/ESRL, has been coupled inline with aerosol and gas-phase chemistry schemes of different complexity using the chemistry and aerosol packages from WRF-Chem v3.7, named as FIM-Chem v1. The three chemistry schemes include 1) the simple aerosol modules from the Goddard Chemistry Aerosol Radiation and Transport model that includes only simplified sulfur chemistry, bulk aerosols, and sectional dust and sea salt modules (GOCART); 2) the photochemical gas-phase mechanism RACM coupled to GOCART to determine the impact of more realistic gas-phase chemistry on the GOCART aerosols simulations (RACM_ GOCART); and 3) a further sophistication within the aerosol modules by replacing GOCART with a modal aerosol scheme that includes secondary organic aerosols (SOA) based on the VBS approach (RACM_SOA_VBS). FIM-Chem is able to simulate aerosol, gas-phase chemical species and SOA at various spatial resolutions with different levels of complexity and quantify the impact of aerosol on numerical weather predictions (NWP). We compare the results of RACM_ GOCART and GOCART schemes which uses the default climatological model fields for OH, H2O2, and NO3. We find significant reductions of sulfate that are on the order of 40 % to 80 % over the eastern US and are up to 40 % near the Beijing region over China when using the RACM_GOCART scheme. We also evaluate the model performance by comparing with the Atmospheric Tomography Mission (ATom-1) aircraft measurements in 2016 summer. FIM-Chem shows good performance in capturing the aerosol and gas-phase tracers. The model predicted vertical profiles of biomass burning plumes and dust plumes off the western Africa are also reproduced reasonably well.

Li Zhang et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-111', Anonymous Referee #1, 14 Jun 2021 reply
  • CEC1: 'Comment on gmd-2021-111', Juan Antonio Añel, 30 Jun 2021 reply
    • AC1: 'Reply on CEC1', Li Zhang, 06 Jul 2021 reply
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 08 Jul 2021 reply

Li Zhang et al.

Li Zhang et al.

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Short summary
Applying the chemistry package from WRF-Chem into the Flow-following finite-volume Icosahedra Model, we essentially make it possible to explore the importance of different levels of complexity in gas and aerosol chemistry, as well as in physics parameterizations on the interaction processes in global modeling systems. The model performance validated by the Atmospheric Tomography Mission aircraft measurements in 2016 summer shows good performance in capturing the aerosol and gas-phase tracers.