陈生，长期从水文气象遥感等方面的研究，在基于高分辨率卫星观测的信息提取、雨滴谱分析、雷达定量降水估计、卫星定量降水估计与误差评估分析、水文过程模拟与不确定性分析、基于人工智能的短临降水预报、基于多源遥感资料同化的数值天气模式预报方面取得重要成果。基于人工智能的短临天气预报系统、基于雷达和风云四号闪电同化的数值天气预报系统已经在气象局部门开展业务应用。到目前为止，获授权发明专利6项，已发表论文90多篇，其中SCI高质量期刊论文60多篇。被 Nature Scientific Report, WRR、JHM、JH、IEEE TGRS、IEEE JSTA RS 等20多个国内外知名专业期刊邀请为审稿人。到目前为止，本人发表的学术论文的Google学术 引用3000多次，分别发表在BAMS, WRR, JGR, JHM, JH, IEEE TGRS, IEEE STARS 等专业学术期刊）。

1. 水文气象遥感
2. 人工智能天气预报

研究员

北部湾国家气候观象台学术委员会委员

1．Deng Jiafeng.; Rui Zhag, Sheng Chen, Zhi Li, Liang Gao, Yanping Li, Chunxia Wei, 2024: Spatiotemporal evolution and influencingfactors of flood resilience in Beibu GulfUrban Agglomeration. International Journal of Disaster Risk Reduction, 15, 951.https://doi.org/10.1016/j.ijdrr.2024.104905
2．Zhi Li,Zelan Zhou,Sheng Chen*,Yanping Li，Chunxia Wei., 2024: Hydrological Evaluation of CRA40 and ERA5 Reanalysis Precipitation Products over Ganjiang River Basin in Humid Southeastern China. Water 2024, 16(19), 2774; https://doi.org/10.3390/w16192774
3．Wang, D.; Chen, S.; Kong, Y.; Gu, X.; Li, X.; Nan, X.; Yue, S.; Shen, H., 2024: Raindrop Size Distribution Characteristics for Typhoons over the Coast in Eastern China. Atmosphere, 15, 951. https://doi.org/10.3390/atmos15080951
4．Jianyu Zhao; Jinkai Tan; Sheng Chen*; Qiqiao Huang; Liang Gao; Yanping Li; Chunxia Wei. Intelligent Reconstruction of Radar Composite Reflectivity Based on Satellite Observations and Deep Learning, Remote Sensing, 2024, 16(2): 275
5．Jinkai Tan, Qiqiao Huang, and Sheng Chen*. "Deep Learning Model based on Multi-scale Feature Fusion for Precipitation Nowcasting." Geoscientific Model Development, 2024, 17, 53-69
6．Huang, Q.; Chen, S.; Tan, J. TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data.Remote Sens. 2023, 15, 142. https://doi.org/10.3390/rs15010142
7．Jing Tang, Sheng Chen*, Zhi Li, Liang Gao, 2022: Mapping the Distribution of Summer Precipitation Types over China Based on Radar Observations. Remote Sensing. 2022; 14(14):3437. https://doi.org/10.3390/rs14143437
8．Jinkai Tan, Qidong Yang,Junjun Hu,Qiqiao Huang，Sheng Chen*, 2022: Tropical Cyclone Intensity Estimation Using Himawari-8 Satellite Cloud Products and Deep Learning. Remote Sensing. 2022, 14(4), 812; https://doi.org/10.3390/rs14040812
9．Chaoying Huang, Sheng Chen*, et al.,2021: Statistical Characteristics of Raindrop Size Distribution in Monsoon Season over South China Sea. Remote Sensing, 13, 2878. https://doi.org/10.3390/rs13152878
10．Asi Zhang, Chaoying Huang, Sheng Chen*, et al., 2021: Utilization of Specific Attenuation for Rainfall Estimation in Southern China. Journal of Tropical Meteorology, Vol.27No.1, doi: 1006-8775(2021)01-0047-14
11．Tan, J., Chen, S., Lee, C.Y., Dong, G., Hu, W. and Wang, J., 2021: Projected changes of typhoon intensity in a regional climate model: Development of a machine learning bias correction scheme. International Journal of Climatology, 41(4), pp.2749-2764
12．Tan, J., Chen, S. , and  Wang, J. , 2021: Western north pacific tropical cyclone track forecasts by a machine learning model. Stochastic Environmental Research and Risk Assessment, 35(4), 1-14
13．Shulin Deng*, Sheng Chen, et al. 2020: Anthropogenic forcing enhances rainfall seasonality in global land monsoon regions. Environmental Research Letters, DOI: https://doi.org/10.1088/1748-9326/abafd3
14．Junjun, Sheng Chen*, et al. 2019: Parametric Uncertainty Assessment in Hydrological Modeling Using the Generalized Polynomial Chaos Expansion. Journal of Hydrology, DOI: https://doi.org/10.1016/j.jhydrol.2019.124158
15．Chen, S., et al, 2015: Using citizen science reports to evaluate estimates of surface precipitation type. Bulletin of the American Meteorological Society, doi: http://dx.doi.org/10.1175/BAMS-D-13-00247.1 (SCI, IF: 11.81)

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2. 中国科学院西北院高层人才项目（E2290702），项目负责人
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5. 广西重点研发项目，北部湾及周边地区强对流天气精细化预报预警关键技术研究（AB22035016），项目参与人
6. 广西重点研发项目，广西高分辨率双偏振天气雷达定量降水估计关键技术研究（AB22080104），项目参与人
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