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Paper Publications
[1] Pan, L., Liu Y., …, 2021: Seasonal variation of the surface wind forcast performance of the high-resolution WRF-RTFDDA system over China. Atmo. Res. 259.
[2] Huo Z., Liu* Y., …, 2021: Hydrometeor and Latent Heat Nudging for Radar Reflectivity Assimilation: Response to the Model States and Uncertainties. Remote Sensing.
[3] Li Y., Liu* Y., Chen Y., Chen B., Zhang X., Wang W., Shu Z. and Huo Z., 2021: Characteristics of deep convective systems and initiation during warm seasons over China and its vicinity. Remote Sens. , 13, 4289. https://doi.org/10.3390/ rs13214289.
[4] Shu Z., Liu* Y., Zhao T., et al., 2021: Long-term variations in aerosol optical properties, types, and radiative forcing in the Sichuan Basin, Southwest China,Science of the Total Environment , https://doi.org/10.1016/j.scitotenv.2021.151490
[5] He G.; Yuan G.; Liu* Y.; Jiang Y.; Liu Y.; Shu Z.; Ma X.; Li Y., Huo Z.，2022: The Effects of Topography and Urban Agglomeration on the Sea Breeze Evolution over the Pearl River Delta Region. Atmosphere 2022, 13, 39. https://doi.org/10.3390/ atmos13010039
[6] 张依鸣，刘玉宝*，王昊亮，孙荣富、樊小伟，2022: GSI-3DVAR背景场误差协方差水平相关特征尺度对地面气象站资料同化适应性研究。气象科学 （已录用）。
[7] 熊一帆，丁秋冀，舒卓智，刘玉宝*，赵天良, 2022: 基于数值模拟与资料同化探究长三角地区冬 季 PM2.5 污染过程的气象影响. 环境科学学报(已录用)
[8] 袁锦涵, 周永波, 刘玉宝*, 段婧, 王新, 2022. 云滴谱分布对FY-4A/AGRI水云光学厚度与有效粒子半径反演的影响研究[J], 光学学报(已录用).
[9] Wang, H.; Liu*, Y.; Liu, Y.; Cao, Y.; Liang, H.; Hu, H.; Liang, J.; Tu, M.，2022: Assimilation of GNSS PWV with NCAR-RTFDDA to Improve Prediction of a Landfall Typhoon. Remote Sens.2022,14,178. https:// doi.org/10.3390/rs14010178。
[10] Shu Z., Zhao T., Liu Y., Zhang L., Ma X., Kuang X., Li Y., Huo Z., Ding Q., Sun X., Shen L., 2022: Impact of deep basin terrain on PM2.5 distribution and its seasonality over the Sichuan Basin, Southwest China. Environmental Pollution. 300, 118933-118944. https://doi.org/10.1016/j.envpol.2022.118944.
[11] Shi J.; Liu* Y., Li Y., Liu Yue., Roux G., Shi L., Fan X.,2022: Wind Speed Forecasts of a Mesoscale Ensemble for Large-Scale Wind Farms in Northern China: Downscaling Effect of Global Model Forecasts. Energies 2022,15,896. https://doi.org/ 10.3390/en15030896.
[12] Yang J., Liu E., Liu* Y. , Lin Y., Jin X., 2022: Impact of vertical wind shear on summer orographic clouds over Tian Shan Mountians: A case study based on radar observation and numerical simulation. Remote Sens. 2022, 14, 1583. https://doi.org/10.3390/ rs14071583 .
[13] Sun, H.; Wang, H.; Yang, J.; Zeng, Y.; Zhang, Q.; Liu, Y.; Gu, J.; Huang, S. , 2022: Improving Forecast of Severe Oceanic Mesoscale Convective Systems Using FY-4A Lightning Data Assimilation with WRF-FDDA. RemoteSens. 2022,14,1965. https:// doi.org/10.3390/rs14091965
[14] Yuan G., Tang W. , Zuo T., Li E., Zhang L., Liu* Y., 2022: Impacts of afforestation on land surface temperature in different regions of China. Agricultural and Forest Meteorology.18 (2022) 108901. https://doi.org/10.1016/j.agrformet.2022.108901.
[15] Wang H., Liu* Y., Duan J., Shi Y., Lou X. and Li J., 2022: Assimilation of Radar Reflectivity Using A Time-Lagged Ensemble Based Ensemble Kalman Filter With “Cloud-Dependent” Background Error Covariances. JGR- Atmosphere. https://doi.org/10.1029/2021JD036207
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