基本信息
陈生  男  博导  中国科学院西北生态环境资源研究院
电子邮件: chensheng@nieer.ac.cn
通信地址: 兰州市城关区东岗西路320号
邮政编码: 730000

招生信息

   
招生专业
070503-地图学与地理信息系统
070501-自然地理学
招生方向
遥感与地理信息系统
人地关系

教育背景

2006-07--2009-07   中国科学院遥感应用研究所   博士
2003-09--2006-07   广西师范学院   硕士
1999-08--2003-07   广西师范学院   学士

工作经历

   
工作简历
2009-08~2015-07,俄克拉荷马大学先进雷达研究中心/水文气象遥感实验室, 博士后

专利与奖励

   
专利成果
[1] 陈生, 刘陈帅. 一种处理双极化雷达差分相位的方法及系统. CN: CN113466868B, 2022-03-11.
[2] 陈生. 一种台风中心位置偏移量生成方法及台风中心定位方法. ZL 2022 1 0189224.6, 2022-02-25.
[3] 陈生, 刘陈帅. 一种基于Kmeans聚类的降水粒子识别方法及装置. CN: CN113933809A, 2022-01-14.

出版信息

   
发表论文
[1] Tang, Jing, Chen, Sheng, Li, Zhi, Gao, Liang. Mapping the Distribution of Summer Precipitation Types over China Based on Radar Observations. REMOTE SENSING[J]. 2022, 14(14): [2] Qiqiao Huang, Sheng Chen, Jinkai Tan. TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data. REMOTE SENSING[J]. 2022, 15(142): https://doaj.org/article/521140b0224648e4b32e5c0574ecb08c.
[3] Zhu, Huiqin, Chen, Sheng, Li, Zhi, Gao, Liang, Li, Xiaoyu. Comparison of Satellite Precipitation Products: IMERG and GSMaP with Rain Gauge Observations in Northern China. REMOTE SENSING[J]. 2022, 14(19): http://dx.doi.org/10.3390/rs14194748.
[4] Tan, Jinkai, Yang, Qidong, Hu, Junjun, Huang, Qiqiao, Chen, Sheng. Tropical Cyclone Intensity Estimation Using Himawari-8 Satellite Cloud Products and Deep Learning. REMOTE SENSING[J]. 2022, 14(4): https://doaj.org/article/36ab2325fa384a1aa6cc08c785300139.
[5] Li, Xiaoyu, Chen, Sheng, Li, Zhi, Huang, Chaoying, Hu, Junjun. Statistical Characteristics of Warm Season Raindrop Size Distribution in the Beibu Gulf, South China. REMOTE SENSING[J]. 2022, 14(19): http://dx.doi.org/10.3390/rs14194752.
[6] Chaoying Huang, Sheng Chen, Asi Zhang, Ying Pang. Statistical Characteristics of Raindrop Size Distribution in Monsoon Season over South China Sea. REMOTE SENSING[J]. 2021, 13(15): http://dx.doi.org/10.3390/rs13152878.
[7] Tan, Jinkai, Chen, Sheng, Wang, Jun. Western North Pacific tropical cyclone track forecasts by a machine learning model. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT[J]. 2021, 35(6): 1113-1126, http://dx.doi.org/10.1007/s00477-020-01930-w.
[8] Li, Xiaoyu, Chen, Sheng, Liang, Zhenqing, Huang, Chaoying, Li, Zhi, Hu, Baoqing. Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut. ATMOSPHERE[J]. 2021, 12(2): https://doaj.org/article/cd914a4e6edf4a259b7961067932c1e3.
[9] Tan, Jinkai, Chen, Sheng, Lee, ChiaYing, Dong, Guangtao, Hu, Wenyan, Wang, Jun. Projected changes of typhoon intensity in a regional climate model: Development of a machine learning bias correction scheme. INTERNATIONAL JOURNAL OF CLIMATOLOGY[J]. 2021, 41(4): 2749-2764, http://dx.doi.org/10.1002/joc.6987.
[10] Zhang Asi, Huang Chaoying, Chen Sheng, Zhang Pengfei, Hu Dongming, Xiao Liusi. Utilization of Specific Attenuation for Rainfall Estimation in Southern China. JOURNAL OF TROPICAL METEOROLOGY[J]. 2021, 27(1): 48-61, http://dx.doi.org/10.46267/j.1006-8775.2021.005.
[11] Deng, Shulin, Sheng, Chen, Yang, Ni, Song, Lian, Huang, Qiuyan. Anthropogenic forcing enhances rainfall seasonality in global land monsoon regions. ENVIRONMENTAL RESEARCH LETTERS[J]. 2020, 15(10): https://www.webofscience.com/wos/woscc/full-record/WOS:000575677400001.
[12] Chaoying Huang, Junjun Hu, Sheng Chen, Asi Zhang, Zhenqing Liang, Xinhua Tong, Liusi Xiao, Chao Min, Zengxin Zhang. How Well Can IMERG Products Capture Typhoon Extreme Precipitation Events Over Southern China?. REMOTE SENSING[J]. 2019, 11(1): https://doaj.org/article/b0368a82ad024de6b9db80d53c2f3d06.
[13] Asi Zhang, Junjun Hu, Sheng Chen, Dongming Hu, Zhenqing Liang, Chaoying Huang, Liusi Xiao, Chao Min, Haowen Li. Statistical Characteristics of Raindrop Size Distribution in the Monsoon Season Observed in Southern China. REMOTE SENSING[J]. 2019, 11(4): https://doaj.org/article/a3e2a4ebab794ee08d5759af318ad3f1.
[14] Zengxin Zhang, Jiaxi Tian, Yuhan Huang, Xi Chen, Sheng Chen, Zheng Duan. Hydrologic Evaluation of TRMM and GPM IMERG Satellite-Based Precipitation in a Humid Basin of China. REMOTE SENSING[J]. 2019, 11(4): https://doaj.org/article/ab62144c70cd42e8aa213234644f729d.
[15] Chen, Sheng, Hu, Junjun, Zhang, Asi, Min, Chao, Huang, Chaoying, Liang, Zhenqing. Performance of near real-time Global Satellite Mapping of Precipitation estimates during heavy precipitation events over northern China. THEORETICAL AND APPLIED CLIMATOLOGY[J]. 2019, 135(3-4): 877-891, [16] Chao Min, Sheng Chen, Jonathan J. Gourley, Haonan Chen, Asi Zhang, Yong Huang, Chaoying Huang. Coverage of China New Generation Weather Radar Network. ADVANCES IN METEOROLOGY[J]. 2019, 2019: http://gooa.las.ac.cn/external/index?type=-1&pid=1489232.
[17] Hu, Junjun, Chen, Sheng, Behrangi, Ali, Yuan, Huiling. Parametric uncertainty assessment in hydrological modeling using the generalized polynomial chaos expansion. JOURNAL OF HYDROLOGY[J]. 2019, 579: http://dx.doi.org/10.1016/j.jhydrol.2019.124158.
[18] Zhang, Asi, Xiao, Liusi, Min, Chao, Chen, Sheng, Kulie, Mark, Huang, Chaoying, Liang, Zhenqing. Evaluation of latest GPM-Era high-resolution satellite precipitation products during the May 2017 Guangdong extreme rainfall event. ATMOSPHERIC RESEARCH[J]. 2019, 216: 76-85, http://dx.doi.org/10.1016/j.atmosres.2018.09.018.
[19] Liang, Zhenqing, Chen, Sheng, Hu, Junjun, Huang, Chaoying, Zhang, Asi, Xiao, Liusi, Zhang, Zengxin, Tong, Xinhua. Hydrologic Evaluation of Integrated Multi-Satellite Retrievals for GPM over Nanliu River Basin in Tropical Humid Southern China. WATER[J]. 2019, 11(5): https://doaj.org/article/22a4781171804a11bef7bc4ebd669de5.
[20] Li, Ling, He, Zhengwei, Chen, Sheng, Mai, Xiongfa, Zhang, Asi, Hu, Baoqing, Li, Zhi, Tong, Xinhua. Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas-Kanade Optical Flow Technique. ATMOSPHERE[J]. 2018, 9(7): https://doaj.org/article/51303a6c3d194de28291cad27270a372.
[21] Chen, Sheng, Hong, Yang, Kulie, Mark, Behrangi, Ali, Stepanian, Phillip M, Cao, Qing, You, Yalei, Zhang, Jian, Hu, Junjun, Zhang, Xinhua. Comparison of snowfall estimates from the NASA CloudSat Cloud Profiling Radar and NOAA/NSSL Multi-Radar Multi-Sensor System. JOURNAL OF HYDROLOGY[J]. 2016, 541(Pt.B): 862-872, http://dx.doi.org/10.1016/j.jhydrol.2016.07.047.
[22] Chen, Sheng, Behrangi, Ali, Tian, Yudong, Hu, Junjun, Hong, Yang, Tang, Qiuhong, Hu, XiaoMing, Stepanian, Phillip M, Hu, Baoqing, Zhang, Xinhua. Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally-Merged Satellite/Gauge Observations-Part II: Diurnal Variability Analysis. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2016, 9(7): 2979-2988, http://ir.igsnrr.ac.cn/handle/311030/43217.
[23] Hu, XiaoMing, Xue, Ming, Klein, Petra M, Illston, Bradley G, Chen, Sheng. Analysis of Urban Effects in Oklahoma City using a Dense Surface Observing Network. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY[J]. 2016, 55(3): 723-741, http://dx.doi.org/10.1175/JAMC-D-15-0206.1.
[24] Chen, Sheng, Gourley, Jonathan J, Hong, Yang, Cao, Qing, Carr, Nicholas, Kirstetter, PierreEmmanuel, Zhang, Jian, Flamig, Zac. Using Citizen Science Reports to Evaluate Estimates of Surface Precipitation Type. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY[J]. 2016, 97(2): 187-193, https://www.webofscience.com/wos/woscc/full-record/WOS:000371854700001.
[25] Guo, Hao, Chen, Sheng, Bao, Anming, Behrangi, Ali, Hong, Yang, Ndayisaba, Felix, Hu, Junjun, Stepanian, Phillip M. Early assessment of Integrated Multi-satellite Retrievals for Global Precipitation Measurement over China. ATMOSPHERIC RESEARCH[J]. 2016, 176: 121-133, http://dx.doi.org/10.1016/j.atmosres.2016.02.020.
[26] Chen, Sheng, Zhang, Jian, Mullens, Esther, Hong, Yang, Behrangi, Ali, Tian, Yudong, Hu, XiaoMing, Hu, Junjun, Zhang, Zengxin, Zhang, Xinhua. Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2015, 53(8): 4434-4443, http://ir.xjlas.org/handle/365004/12853.
[27] Hao Guo, Sheng Chen, Anming Bao, Junjun Hu, Banghui Yang, Phillip M Stepanian. Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China. ATMOSPHERE[J]. 2015, 7(1): https://doaj.org/article/e4ab3b6892dc43588dbb03899c0749a7.
[28] Chen, Sheng, Hong, Yang, Cao, Qing, Tian, Yudong, Hu, Junjun, Zhang, Xinhua, Li, Weiyue, Carr, Nicholas, Shen, Xinyi, Qiao, Lei. Intercomparison of Precipitation Estimates From WSR-88D Radar and TRMM Measurement Over Continental United States. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2015, 53(8): 4444-4456, http://ir.xjlas.org/handle/365004/12852.
[29] Hao Guo, Sheng Chen, Anming Bao, Jujun Hu, Abebe S Gebregiorgis, Xianwu Xue, Xinhua Zhang. Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia. REMOTE SENSING[J]. 2015, 7(6): 7181-7211, https://doaj.org/article/42dc376689774774a46cc8c973c87316.