Gan Ruhui

发布时间:2023-11-21  字体大小T|T

       Gan Ruhui, PhD, engineer. Dr. Gan mainly engaged in data assimilation and numerical weather prediction research.
 
Email:ganrh@lzu.edu.cn
 
Educational experience:
2012.09~2016.06, Lanzhou University, Atmospheric sciences, Bachelor
2016.09~2019.06, Lanzhou University, Meteorology, Master
2019.09~2023.06, Lanzhou University, Meteorology, PhD
2023.11~present, Lanzhou University, College of Atmospheric Sciences, Engineer
 
Publications:
1.Gan, R., Yang, Y., Li, H., Guo, S., Xie, Q. & Liu, P. (2023) An economical assimilation scheme for radar reflectivity in non-convective region to suppress spurious precipitation. Quarterly Journal of the Royal Meteorological Society, 1–16. Available from: https://doi.org/10.1002/qj.4571.
 
2.Gan R., Yang Y., Qiu X., Liu P., Wang X. & Gu K. A Scheme to Suppress Spurious Convection by Assimilating the 'Zero' Column Maximum Vertical Velocity. Journal of Geophysical Research: Atmospheres, 2022, 127(4): e2021JD035536. https://doi.org/10.1029/2021JD035536.
 
3.Gan R., Yang Y., Qiu X., Wang R., Qiu X. & Zhu L. Assimilation of the maximum vertical velocity converted from total lightning data through the EnSRF method. Journal of Geophysical Research: Atmospheres, 2021, 126, e2020JD034300.https://doi.org/10.1029/2020JD034300.
 
4.Gan R., Yang Y., Xie Q., Lin E., Wang Y. & Liu P. Assimilation of Radar and Cloud-to-Ground Lightning Data Using WRF-3DVar Combined with the Physical Initialization Method—A Case Study of a Mesoscale Convective System. Journal of Meteorological Research, 2020, 35, 329–342  https://doi.org/10.1007/s13351-021-0092-4.
 
5.Gan R., Yang Y, Ma Y. Modelling the impacts of the Pacific Ocean sea surface temperature anomalies on a drought event in southwestern China with a piecewise‐integration method. International Journal of Climatology, 2019, 39(2): 799-813.
 
6.Li, H., Sun, J., Yang, Y.* Kong, X., Gan, R. Effects of large-scale constraint and constraint variables on the high-frequency assimilation of radar reflectivity data in convective precipitation forecasting. ClimDyn (2023). https://doi.org/10.1007/s00382-023-06809-4.
 
7.Guo S., Wang J., Gan R., Yang Z. & Yang Y. Experimental Study of Cloud-to-Ground Lightning Nowcasting with Multisource Data Based on a Video Prediction Method, Remote Sensing, 2022, 14(3), https://doi.org/10.3390/rs14030604.
 
8.Lin E., Yang Y., Qiu X., Xie Q., Gan R., Zhang B. & Liu X. Impacts of the radar data assimilation frequency and large-scale constraint on the short-term precipitation forecast of a severe convection case. Atmospheric Research, 257, 2021. https://doi.org/10.1016/j.atmosres.2021.105590.
 
9.Ma Y, Yang Y, Hu X, Gan R. Characteristics and mechanisms of the sudden warming events in the nocturnal atmospheric boundary layer: A case study using WRF [J]. Journal of Meteorological Research, 2015, 29(5): 747-763.