MP CBM-Z V1.0: design for a new Carbon Bond Mechanism Z (CBM-Z) gas-phase chemical mechanism architecture for next-generation processors

Article, Other literature type English OPEN
Wang, Hui; Lin, Junmin; Wu, Qizhong; Chen, Huansheng; Tang, Xiao; Wang, Zifa; Chen, Xueshun; Cheng, Huaqiong; Wang, Lanning;
(2019)
  • Publisher: Copernicus Publications
  • Journal: issn: 1991-9603, eissn: 1991-9603
  • Related identifiers: doi: 10.5194/gmd-12-749-2019
  • Subject: QE1-996.5 | Geology

<p>Precise and rapid air quality simulations and forecasting are limited by the computational performance of the air quality model used, and the gas-phase chemistry module is the most time-consuming function in the air quality model. In this study, we designed ... View more
  • References (31)
    31 references, page 1 of 4

    Chang, J. S., Brost, R. A., Isaksen, I. S. A., Madronich, S., Middleton, P., Stockwell, W. R., and Walcek, C. J.: A three-dimensional Eulerian acid deposition model: Physical concepts and formulation, J. Geophys. Res.-Atmos., 92, 14681-14700, 1987.

    Chen, H., Wang, Z., Qizhong, W. U., Jianbin, W. U., Yan, P., Tang, X., and Wang, Z.: Application of Air Quality Multi-Model Forecast System in Guangzhou: Model Description and Evaluation of PM10 Forecast Performance, Clim. Environ. Res., 18, 427-435, 2013.

    Chen, H. S., Wang, Z. F., Li, J., Tang, X., Ge, B. Z., Wu, X. L., Wild, O., and Carmichael, G. R.: GNAQPMS-Hg v1.0, a global nested atmospheric mercury transport model: model description, evaluation and application to trans-boundary transport of Chinese anthropogenic emissions, Geosci. Model Dev., 8, 2857-2876, https://doi.org/10.5194/gmd-8-2857-2015, 2015.

    Feng, F., Wang, Z., Li, J., and Carmichael, G. R.: A nonnegativity preserved efficient algorithm for atmospheric chemical kinetic equations, Appl. Mathe. Comput., 271, 519-531, 2015.

    Gao, M., Carmichael, G. R., Wang, Y., Saide, P. E., Yu, M., Xin, J., Liu, Z., and Wang, Z.: Modeling study of the 2010 regional haze event in the North China Plain, Atmos. Chem. Phys., 16, 1673-1691, https://doi.org/10.5194/acp-16-1673-2016, 2016.

    Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G., Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry within the WRF model, Atmos. Environ., 39, 6957-6975, https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005.

    Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181-3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.

    Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471-1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012.

    Gurjar, B. R., Ravindra, K., and Nagpure, A. S.: Air pollution trends over Indian megacities and their localto-global implications, Atmos. Environ., 142, 475-495, https://doi.org/10.1016/j.atmosenv.2016.06.030, 2016.

    Lawrence, B. N., Rezny, M., Budich, R., Bauer, P., Behrens, J., Carter, M., Deconinck, W., Ford, R., Maynard, C., Mullerworth, S., Osuna, C., Porter, A., Serradell, K., Valcke, S., Wedi, N., and Wilson, S.: Crossing the chasm: how to develop weather and climate models for next generation computers?, Geosci. Model Dev., 11, 1799-1821, https://doi.org/10.5194/gmd-11- 1799-2018, 2018.

  • Related Research Results (2)
  • Similar Research Results (2)
  • Metrics
    No metrics available
Share - Bookmark