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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/gmd-2019-333
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-333
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 09 Jan 2020

Submitted as: model description paper | 09 Jan 2020

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A revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

WRF-GC: online coupling of WRF and GEOS-Chem for regional atmospheric chemistry modeling, Part 1: description of the one-way model (v1.0)

Haipeng Lin1,2, Xu Feng1, Tzung-May Fu3,4, Heng Tian1, Yaping Ma1, Lijuan Zhang1, Daniel J. Jacob2, Robert M. Yantosca2, Melissa P. Sulprizio2, Elizabeth W. Lundgren2, Jiawei Zhuang2, Qiang Zhang5, Xiao Lu1,2, Lin Zhang1, Lu Shen2, Jianping Guo6, Sebastian D. Eastham7, and Christoph A. Keller8 Haipeng Lin et al.
  • 1Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
  • 2Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
  • 3School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
  • 4Shenzhen Institute of Sustainable Development, Southern University of Science and Technology, Shenzhen, Guangdong, China
  • 5Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
  • 6State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, China
  • 7Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, Cambridge, MA, USA
  • 8Universities Space Research Association, Columbia, Maryland, USA

Abstract. We developed the WRF-GC model, an online coupling of the Weather Research and Forecasting (WRF) mesoscale meteorological model and the GEOS-Chem atmospheric chemistry model, for regional atmospheric chemistry and air quality modeling. Both WRF and GEOS-Chem are open-source and community-supported. WRF-GC provides regional chemistry modellers easy access to the GEOS-Chem chemical module, which is stably-configured, state-of-the-science, well-documented, traceable, benchmarked, actively developed by a large international user base, and centrally managed by a dedicated support team. At the same time, WRF-GC gives GEOS-Chem users the ability to perform high-resolution forecasts and hindcasts for any location and time of interest. WRF-GC is designed to be easy to use, massively parallel, extendable, and easy to update. The WRF-GC coupling structure allows future versions of either one of the two parent models to be immediately integrated into WRF-GC. This enables WRF-GC to stay state-of-the-science with traceability to parent model versions. Physical and chemical state variables in WRF and in GEOS-Chem are managed in distributed memory and translated between the two models by the WRF-GC Coupler at runtime. We used the WRF-GC model to simulate surface PM2.5 concentrations over China during January 22 to 27, 2015 and compared the results to surface observations and the outcomes from a GEOS-Chem nested-grid simulation. Both models were able to reproduce the observed spatiotemporal variations of regional PM2.5, but the WRF-GC model (r = 0.68, bias = 29 %) reproduced the observed daily PM2.5 concentrations over Eastern China better than the GEOS-Chem model did (r = 0.72, bias = 55 %). This was mainly because our WRF-GC simulation, nudged with surface and upper-level meteorological observations, was able to better represent the spatiotemporal variability of the planetary boundary layer heights over China during the simulation period. Both parent models and the WRF-GC Coupler are parallelized across computational cores and can scale to massively parallel architectures. The WRF-GC simulation was three times more efficient than the GEOS-Chem nested-grid simulation at similar resolutions and for the same number of computational cores, owing to the more efficient transport algorithm and the MPI-based parallelization provided by the WRF software framework. WRF-GC scales nearly perfectly up to a few hundred cores on a variety of computational platforms. Version 1.0 of the WRF-GC model supports one-way coupling only, using WRF-simulated meteorological fields to drive GEOS-Chem with no feedbacks from GEOS-Chem. The development of two-way coupling capabilities, i.e., the ability to simulate radiative and microphysical feedbacks of chemistry to meteorology, is under-way. The WRF-GC model is open-source and freely available from http://wrf.geos-chem.org.

Haipeng Lin et al.

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Haipeng Lin et al.

Model code and software

WRF-GC v1.0 H. Lin, X. Feng, T.-M. Fu, H. Tian, Y. Ma, L. Zhang, D. J. Jacob, R. M. Yantosca, M. P. Sulprizio, E. W. Lundgren, J. Zhuang, Q. Zhang, X. Lu, L. Zhang, L. Shen, J. Guo, S. D. Eastham, and C. A. Keller https://doi.org/10.5281/zenodo.3550330

Haipeng Lin et al.

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Latest update: 08 Jul 2020
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Short summary
On-line coupling of meteorology and chemistry models often present maintenance issues with hard-wired coding. We present WRF-GC, an one-way on-line coupling of the WRF meteorological model and GEOS-Chem atmospheric chemistry model for regional atmospheric chemistry and air quality modeling. Our coupling structure allows future versions of either parent model to be immediately integrated into WRF-GC. The WRF-GC model was able to well reproduce regional PM2.5 with greater computational efficiency.
On-line coupling of meteorology and chemistry models often present maintenance issues with...
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