Development of Numerical Weather Prediction Model and the Corresponding Numerical Simulations

 

Graduated in 2016, Jinxi has been committed to the development of a three‑dimensional dynamically adaptive Galerkin atmospheric model Fluidity-Atmosphere in the Institute of Atmospheric Physics, Chinese Academy of Sciences. 

He collaborated with the Department of Earth Sciences and Engineering, Imperial College London for further developing Fluidity-Atmosphere during 2017 – 2018. 

Then, he conducted a two-year postdoctoral research (Sep 2019 – Aug 2021) in the Department of Applied Mathematics and Theoretical Physics, the University of Cambridge for the research of numerical methods for atmospheric models and the numerical simulation of radiative transfer process.

 

Unstructured adaptive metric-advection algorithm and high-order polynomial representation of pressure gradient force in the vicinity of steep terrains, Principal Investigator (PI), National Natural Science Foundation of China (No. 41905093), 01/2020 – 12/2022

 

1.Development of a fully coupled multi-scale air quality prediction model system, Co-Principal Investigator (CI), National Key R & D Program of China (No. 2017YFC0209800), 07/2017 – 12/2020

2.The simulation of the track and intensity of typhoons based on the unstructured adaptive mesh model Fluidity, PI, China Postdoctoral Science Foundation Funded Project (No. 2016M601101), 11/2016 – 10/2019

3.Development of global high-resolution oceanic data assimilation technology and its application, CI, National Key R & D Program of China (No. 2016YFC1401700), 09/2016 – 12/2020

 

1.Li, J., Y. Li, B. Wang, 2016: Characteristics of pressure gradient errors in a terrain-following coordinate. Atmos. Oceanic Sci. Lett., 9(3): 211-218, doi: 10.1080/16742834.2016.1164570.

2.Li, J., Y. Li, B. Wang, 2016: Pressure gradient errors in a covariant method of implementing the σ-coordinate: idealized experiments and geometric analysis, Atmos. Oceanic Sci. Lett., 9(4): 270-276, doi: 10.1080/16742834.2016.1187554.

3.Li, J., J. Steppeler, F. Fang, J. Zhu, X. Peng, C. C. Pain, L. Dong, Y. Li, W. Leng, L. Tao, Y. Wang, J. Zheng, 2019: Potential Numerical Techniques and Challenges for Atmospheric Modeling. B. Am. Meteorol. Soc., 100(9), ES239-ES242, doi: 10.1175/BAMS-D-19-0031.1.

4.Steppeler, J., J. Li, F. Fang, J. Zhu, P. A, Ullrich, 2019: o3o3: a variant of spectral elements with a regular collocation grid. Mon. Wea. Rev., 147(6), 2067-2082, doi: 10.1175/MWR-D-18-0288.1.

5.Li, Y., J. Li, B. Wang, X. Zou, 2015: Advection errors in an orthogonal terrain-following coordinate: Idealized experiments (in Chinese). Chin. Sci. Bull., 60: 3144–3152, doi:10.1360/N972015-00075.