Air quality forecasting and numerical weather forecasting are important numerical simulation tools, which are closely related to the progress of information science and the innovation of numerical methods. They are the key platform for observing pollution incidents and potential heavy pollution cases, which is valuable for realizing the construction of beautiful China and livable atmosphere, and its development has important guiding significance for disaster prevention and mitigation and sustainable development in China.
ICCES cooperates with Prof. C. Pain of Imperial College London, Prof. P. Linden of the University of Cambridge, and the Institute of Urban Environment, Chinese Academy of Sciences to develop the next-generation 3D dynamic adaptive grid Atmospheric Mode Fluidity-Atmosphere. The dynamic framework of the model has been completed, and the performance of the model has been verified through multiple sets of ideal experiments. The adaptive grid reduces the common terrain characterization calculation error in the terrain-following coordinates and effectively improves the calculation efficiency of the model. The results were published in Meteorology and Atmospheric Physics. By designing a set of grid index coefficients suitable for the adaptive grid, the coupling of the fluidity-atmosphere mode irregular grid with the existing physical process and atmospheric chemistry modules is realized, and the dynamic adaptive tracking simulation technology is combined to realize the transmission of atmospheric composite pollution. The detailed description of the process, the related results were published in the journal Atmospheric Environment.
Since the coronavirus is raging around the world it has seriously affected the development of the global economy and the life of people. A 3D dynamic adaptive model is usd to explore the impact of aerosol concentration on the spread of the coronavirus. The surrounding area is the research object, with University College Hospital (UCH) as the source of virus emission, combined with the monthly average wind speed field in London in March, to study the transmission speed and simulation effect. The results show that: due to the strong atmospheric turbulence in the UCH hospital area, the coronavirus can be transmitted to an area 6-500 meters away from the UCH hospital using aerosols as a carrier, but most of the virus is concentrated in the UCH hospital. Less than 50 meters away. Within the range of meters, it is recommended that anyone who goes out to a crowded area still maintains social distance and wears a mask. The relevant results were published in the journal Physics of Fluids.
To further improve the performance of the dynamic framework of atmospheric models, a high-order local Galerkin sparse grid numerical scheme (LG-onom) was developed in cooperation with researcher Jürgen Steppeler of the Climate Service Center of the Helmholtz Institute in Germany. While ensuring the calculation accuracy of the numerical scheme of the same order spectral elements, the calculation efficiency of the numerical scheme is improved, the time step is enlarged, and the semi-Platonic spherical numerical calculation grid with the optimal grid aspect ratio is further developed, which will provide a new basis for LG-not applied to spherical meshes and laid the foundation for improving pattern calculation efficiency. The above research results are summarized in the Springer atmospheric science series Mathematics of Weather, and some of the results were published in the Journal of Meteorological Society in Japan.