2017.07- Present: Institute of Desert Meteorology, China Meteorological Administration.

Weather Forecasting and Numerical Simulation; Parameter Optimization; Improvement of Parameterization

2024.08: Young Meteorological Talents of the China Meteorological Administration  

Project:

[1]National Natural Science Foundation of China (General Program)  “Research on the Impact of Sub-grid Desert Terrain Effects and Parameterization on Dust Forecasting”(No.42275166, 2023.01-2026.12, 550,000 RMB).

[2]National Natural Science Foundation of China (Youth Program)  “Joint optimization of key land surface parameters in arid areas using remote sensing and ground observation data”(No.41801019, 2019.01-2021.12, 240,000 RMB).

[3]Tianshan Talent Project (Young Scientific and Technological Innovation)“Research on the Source Tracing of Near-Surface-Convective Layer Wind Field Simulation Errors and the Improvement of Parameterization Schemes in Complex Terrain Areas” (No.2024TSYCCX0042, 2025.05-2028.12, 900,000 RMB).

Papers and Monographs:

[1]Li Huoqing Li, Zhang Guo, Wang Chenghai, Liu Zonghui, Ju Chenxiang, Ali Mamtimin. Improving snow albedo parameterization scheme based on remote sensing data. 2023, 284(106602), https://doi.org/10.1016/j.atmosres.2022.106602.

[2] Li, H., Wang, C., Wang, M. Z., et al. A new dataset of erodibility in dust source for WRF-Chem model based on remote sensing and soil texture-Application and Validation. Atmospheric Environment, 2023, 315: 120156.

[3] Li, H., Wang, C. Impact of dust radiation effect on simulations of temperature and wind – A case study in Taklimakan Desert, Atmospheric Research,  273, 2022, 106163.

[4]Li H., Liu Z, Mamtimin A, et al. A new linear relation for estimating surface broadband emissivity in arid regions based on FTIR and MODIS products[J]. Remote Sensing, 2021, 13(9): 1686.

[5]Li, H., Liu, J., Zhang, H., Ju, C., Shi, J., Zhang, J., Mamtimin, A., Fan, S. Performance Evaluation of Sub-Grid Orographic Parameterization in the WRF Model over Complex Terrain in Central Asia. Atmosphere 2020, 11, 1164.

[6]Li, H., Zhang, H., Ali M., Fan, S., Ju, C. A New Land-Use Dataset for the Weather Research and Forecasting (WRF) Model, Atmosphere,DOI:10.3390/atmos11040350.

Patent

A sand dune density estimation method based on DEM, 2025.5, ZL202411259993.4.