Hao Huang
Associate Professor
Emai: huanghao@nju.edu.cn
Working room: C204, School of Atmospheric Sciences
Education:
2013-9 to 2018-6 | Nanjing University | School of Atmospheric Sciences | Ph. D. |
2007-9 to 2011-6 | Nanjing University | School of Atmospheric Sciences | Bachelor |
Working Experience:
2024-10 to - | Nanjing University | School of Atmospheric Sciences | Associate Professor |
2023-10 to 2024-10 | Nanjing University | School of Atmospheric Sciences | Assistant Professor |
2018-7 to 2023-9 | Nanjing University | School of Atmospheric Sciences | Researcher |
2017-9 to 2017-11 | Oklahoma University | School of Meteorology | Visiting scholar |
2015-9 to 2016-1 | Oklahoma University | School of Meteorology | Visiting scholar |
2011-6 to 2013-7 | Bengbu Meteorological Agency | Meteorological Bureau | Weather forecaster |
Teaching:
1.Radar Meteorology
Projects:
1.Excellent Youth Program of National Natural Science Foundation of China, 42422501, Radar retrieval and analysis of typhoon precipitation, 2025-01 to 2027-12, under research, Project leader
1.Youth Program of National Natural Science Foundation of China, 41905019, A Research on Optimization-based Typhoon Rainfall Retrieval Using Polarimetric Radar Data, 2020-01-01 to 2022-12-31, concluded, Project leader
2.National Key Research and Development Program, 2018YFC1506404, Analysis and application of cloud and precipitation observations, 2018-12 to 2021-12, concluded, Leader of a sub-topic project
3.National Major Scientific Instruments and Equipments Development Project of National Natural Science Foundation of China, Typhoon tracking and detection instrument, 2019-01 to 2023-12, under research, researchmainstay
Publication:
1. Huang, H., Tao, R., Zhao, K., Wen, L., & Chu, Z. (2023). Potential of Snowfall Nowcasting Using Polarimetric Radar Data and Its Link to Ice Microphysics: Study of Two Snowstorms in East China. Journal of Geophysical Research: Atmospheres, 128(15), e2022JD037654.
2. Huang, H., Zhao, K., Chan, J. C. L., & Hu, D. (2023). Microphysical Characteristics of Extreme-Rainfall Convection over the Pearl River Delta Region, South China from Polarimetric Radar Data during the Pre-summer Rainy Season. Advances in Atmospheric Sciences, 39, 1-13.
3. Huang, K., Huang, H.*, Gu, T., Wang, B., & Lou, C. (2023). Polarimetric radar observations of biological scatterers in the eye of Typhoon Lekima (2019). Journal of Geophysical Research: Biogeosciences, e2023JG007533.
4. Zhao, G., Huang, H.*, Yu, Y., Zhao, K., Yang, Z., Chen, G., & Zhang, Y. (2023). Study on the Quantitative Precipitation Estimation of X-Band Dual-Polarization Phased Array Radar from Specific Differential Phase. Remote Sensing, 15(2), 1-17.
5. Huang, H., Zhao, K., Fu, P., Chen, H., Chen, G., & Zhang, Y. (2022). Validation of Precipitation Measurements from the Dual-Frequency Precipitation Radar Onboard the GPM Core Observatory Using a Polarimetric Radar in South China. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-16.
6. Huang, H., Li, Q., Zhao, K., Dai, H., Ming, J., Fan, X., et al. (2022). Microphysical Characteristics of the Phase-locking VRW-induced Asymmetric Convection in the Outer Eyewall of Super Typhoon Lekima (2019). Geophysical Research Letters, 49(9), e2021GL096869.
7. Hu, X., Huang, H.*, Xiao, H., Cui, Y., Lv, F., Zhao, L., & Ji, X. (2022). Microphysical characteristics of precipitating stratiform clouds in north China revealed by joint observations of an aircraft and a polarimetric radar. Journal of the Atmospheric Sciences, 79(11), 2799-2811.
8. Huang, H., Zhao, K., Chen, H., Chen, G., Hu, D., Zhang, Y., & Yang, Z. (2021). Improving Time-Efficiency of Variational Specific Differential Phase Estimation. IEEE Transactions on Geoscience and Remote Sensing, 59(7), 5642-5664.
9. Tao, R., Zhao, K.*, Huang, H.*, Wen, L., Zhang, G., Zhou, A., & Chen, H. (2021). Snow Particle Size Distribution From a 2-D Video Disdrometer and Radar Snowfall Estimation in East China. IEEE Transactions on Geoscience and Remote Sensing, 59(1), 196-207.
10. Huang, H., Zhao, K., Zhang, G., Hu, D., & Yang, Z. (2020). Optimized raindrop size distribution retrieval and quantitative rainfall estimation from polarimetric radar. Journal of Hydrology, 580, 124248.
11. Huang, H., Zhao, K., Chen, H., Hu, D., Fu, P., Lin, Q., & Yang, Z. (2020). Improved Attenuation-based Radar Precipitation Estimation Considering the Azimuthal Variabilities of Microphysical Properties. Journal of Hydrometeorology, 21(7), 1605-1620.
12. Huang, H., & Chen, F. (2019). Precipitation Microphysics of Tropical Cyclones Over the Western North Pacific Based on GPM DPR Observations: A Preliminary Analysis. Journal of Geophysical Research: Atmospheres, 124(6), 3124-3142.
13. Huang, H., Zhang, G., Zhao, K., Liu, S., Wen, L., Chen, G., & Yang, Z. (2019). Uncertainty in Retrieving Raindrop Size Distribution from Polarimetric Radar Measurements. Journal of Atmospheric and Oceanic Technology, 36(4), 585-605.
14. Chen, F., & Huang, H.* (2019). Comparisons of Gauge, TMPA and IMERG Products for Monsoon and Tropical Cyclone Precipitation in Southern China. Pure and Applied Geophysics, 176(4), 1767-1784.
15. Huang, H., Zhao, K., Zhang, G., Lin, Q., Wen, L., Chen, G., et al. (2018). Quantitative Precipitation Estimation with Operational Polarimetric Radar Measurements in Southern China: A Differential Phase–Based Variational Approach. Journal of Atmospheric and Oceanic Technology, 35(6), 1253-1271.
16. Huang, H., Zhang, G., Zhao, K., & Giangrande, S. E. (2017). A Hybrid Method to Estimate Specific Differential Phase and Rainfall with Linear Programming and Physics Constraints. IEEE Transactions on Geoscience and Remote Sensing, 55(1), 96-111.
Invention patents:
1. Hao Huang, Kun Zhao, Zhengwei Yang, An online calibration method of system differential phase for polarimetric weather radars, 2021-4-9, China, ZL201710944522.0 (authorized)
2. Hao Huang, Kun Zhao, Zhengwei Yang, An efficient method for specific differential phase estimation for polarimetric weather radars based on variational analysis, China, CN201911169202.8 (applied)
3. Hao Huang, Kun Zhao, A method of particle size distribution retrieval for spaceborne Ka-W dual-frequency cloud and precipitation radar based on variational analysis, 2021-11-05, China, CN202111303843.5