Abstract
A high-resolution mesoscale meteorological model for forecasting and studying weather events and surface air quality in an urbanized area or a large industrial or transportation hub is presented. An effective semi-implicit second-order finite volume method with parallel implementation on multiprocessor computing system was developed to solve the equations of the model. The results of testing the parallel program on the supercomputer Cyberia of Tomsk State University demonstrated its high efficiency. The approach developed was successfully applied to predicting heavy precipitation events and an urban heat island effect.
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References
Powers, J.G., et al.: The weather research and forecasting model: overview, system efforts and future directions. Bull. Am. Meteorol. Soc. 98(8), 1717–1737 (2017). https://doi.org/10.1175/BAMS-D-15-00308.1
Ridwan, R., Kistijantoro, A.I., Kudsy M., Gunawan, D.: Performance evaluation of hybrid parallel computing for WRF model with CUDA and OpenMP. In: 2015 3rd International Conference on Information and Communication Technology (ICoICT), Nusa Dua, pp. 425–430. IEEE Press (2015). https://doi.org/10.1109/ICoICT.2015.7231463
Bermous, I., Steinle, P.: Efficient performance of the Met Office Unified Model v8.2 on Intel Xeon partially used nodes. Geosci. Model Dev. 8, 769–779 (2015). https://doi.org/10.5194/gmd-8-769-2015
Mortikov, E.V.: Software implementation of impurity transfer unit in climate models based on hybrid programming MPI-OpenMP. In: Russian Supercomputing Days: Proceedings of the international conference, pp. 521–529. Publishing House of Moscow State University, Moscow (2016). https://doi.org/10.29003/m680.RussianSCDays
Starchenko, A.V., Bart, A.A., Bogoslovskiy, N.N., Danilkin, E.A., Terenteva, M.A.: Mathematical modelling of atmospheric processes above an industrial centre. In: Proceedings of SPIE, 20th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Novosibirsk, vol. 9292, pp. 929249-1–929249-30. SPIE (2014). https://doi.org/10.1117/12.2075164
Pielke, R.: Mesoscale Meteorological Modeling. Academic Press, San Diego (2002)
Hong, S.-Y., Lim, J.-O.J.: The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteorol. Soc. 42(2), 129–151 (2006)
Bao, J.-W., Michelson, S.A., Grell, E.D.: Pathways to the production of precipitating hydrometeors and tropical cyclone development. Mon. Weather Rev. 144(6), 2395–2420 (2016). https://doi.org/10.1175/MWR-D-15-0363.1
Tolstykh, M.A.: Semi-Lagrangian high-resolution atmospheric model for numerical weather prediction. Russ. Meteorol. Hydrol. 4, 1–9 (2001)
Carpenter, K.: Note on the paper “radiation condition for the lateral boundaries of limited-area numerical models” by M. Miller, A. Thorpe (107, 615–628). J. R. Meteorol. Soc. 108, 717–719 (1982)
Monin, A.S., Obukhov, A.M.: Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr. Akad. Nauk SSSR Geofiz. 24, 163–187 (1954)
Van Leer, B.: Towards the ultimate conervative difference scheme. II. Monotonicity and conservation combined in a second order scheme. J. Comput. Phys. 14, 361–370 (1974)
Starchenko, A.V., Bertsun, V.N.: Parallel Computing Methods. Publishing house, Tomsk (2013)
Ortega, J.O.: Introduction to Parallel and Vector Solution of Linear System. Plenum Press, New York (1988)
Starchenko, A.V., Bart, A.A., Kizhner, L.I., Odintsov, S.L., Semyonov, E.V.: Numerical simulation of local atmospheric processes above a city. In: Proceedings of SPIE, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Novosibirsk, vol. 11208, pp. 112088H-1–112088H-9. SPIE (2019). https://doi.org/10.1117/12.2541630
Acknowledgements
The computations presented in this article were carried out at the Interregional Supercomputer Center of the Tomsk State University. This study was carried out at Tomsk State University and supported by the Russian Science Foundation (project No. 19-71-20042).
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Starchenko, A., Prokhanov, S., Danilkin, E., Lechinsky, D. (2020). Numerical Forecast of Local Meteorological Conditions on a Supercomputer. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2020. Communications in Computer and Information Science, vol 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-64616-5_24
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