陳生(中山大學大氣科學學院教授、博士生導師)

陳生，男，中山大學大氣科學學院教授、博士生導師。

基本介紹

• 中文名：陳生
• 國籍：中國
• 職業：教師
• 畢業院校：廣西師範學院
• 主要成就：2016-2021 中山大學"百人計畫二期"急需青年傑出人才項目(主持)。

教育和工作經歷

2016.08-至今 中山大學，教授、博士生導師
2016.06-2016.08 美國科羅拉多州立大學電子與計算機工程系大氣協同自適應遙感中心（CASA), 訪問科學家
2009.08-2016.08 美國俄克拉荷馬大學先進雷達研究中心（ARRC)，博士後
2006.09-2009.07 中國科學院遙感套用研究所，博士
2003.09-2006.06 廣西師範學院資源與環境科學學院，碩士
1999.09-2003.06 廣西師範學院資源與環境科學學院，學士

學術兼職

Nature Scientific Report, WRR、JHM、JH、IEEE TGRS、IEEE JSTARS 等20多個知名專業期刊邀請為審稿人。

研究領域

遙感定量降水產品的不確定分析；雷達定量降水估計；數據同化方法在水文氣象的套用研究；極端天氣事件的數值模擬與預報；陸面水循環過程研究；地理信息系統； 面向對象的遙感影像信息提取。

科研項目

2016-2021 中山大學"百人計畫二期"急需青年傑出人才項目(主持)。

論著一覽

圖書出版

Yang, Hong, Sheng Chen, and Gina Hodges, 2011: Global Precipitation Estimation and Applications. Multi-scale Hydrological Remote Sensing: Perspectives and Applications,Chapter 21, Editor by Ni-bin Chang, Publisher: CRC Press(Taylor and France Group)

近年主要發表論文

[16]Jiayuan Lin, Sheng Chen*,et al, 2016 :Evaluation of Integrated Multi-satellitE Retrievals for Global Precipitation Measurement Over Continuous United States. IEEE Transactions on Geoscience and Remote Sensing(conditional accepted).

[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.

[14] Chen, S., et al, 2016: Precipitation Spectra Analysis over China with High-resolution Measurements from Optimally-merged Satellite/Gauge Observations-Part I: Seasonal Variation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2016.2529003.

[13]Chen, S., et al, 2015: Precipitation Spectra Analysis over China with High-resolution Measurements from Optimally-merged Satellite/Gauge Observations-Part II: Timing and Diurnal Variation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2016.2529001.

[12] Hao Guo, Sheng Chen*, et al, 2016: Early Assessment of Integrated Multi-Satellite Retrievals for Global Precipitation Measurement over China. Atmospheric Research, doi: ATMOSRES-D-15-00825.

[11]Chen, S., et al, 2015: Hydrological Evaluation of Statellite-based Quantitative Precipitation Estimates Products over Ganjiang Basin, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，doi:10.1109/JSTARS.2015.2483484, 2015.

[10]Hao Guo, Sheng Chen*, et al. 2015: Inter-comparison of high-resolution satellite precipitation products over Central Asia. Remote Sensing, doi: 10.3390/rs70x000x.

[9]Chen, S., et al, 2015: Inter-comparison of Precipitation Estimates from WSR-88D Radar and TRMM Measurement over Continental United States.IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2015.2399307.

[8]Chen, S.,et al, 2015: Mapping the Precipitation Type Distribution over the Contiguous United States Using NOAA/NSSL National Multisensor Mosaic QPE. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2015.2399015.

[7] Sheng Chen, et al, 2014: Evaluation of High-Resolution Precipitation Estimates from Satellites during July 2012 Beijing flood Event Using Dense Rain Gauge Observations. PLOS ONE, 9(4): e89681. doi:10.1371/journal.pone.0089681.

[6]Yong Huang,Sheng Chen*,Qing Cao, Yang Hong, et al, 2013: Evaluation of the Version-7 TRMM Multi-satellite precipitation Analysis during July 21 Beijing Extreme Heavy Rainfall Event.Water, 2014,6, 32-44; doi: 10.3390/w6010032

[5]Chen, S., et al, 2013: Evaluation of the Successive Version-6 and Version-7 TMPA Precipitation Estimates over Continental United States. Water Resources Research, doi: 10.1002/2012WR012795.

[4]Chen, S., et al, 2013: Similarity and Difference of the two Successive V6 and V7 TRMM Multi-satellite Precipitation Analysis (TMPA) Performance over China. Journal of Geophysical Research-Atmosphere. doi: 10.1002/2013jd019964.

[3]Chen, S., et al, 2013, Evaluation of Spatial Errors of Precipitation Rates and Types from TRMM Space-borne Radar over the southern CONUS, Journal of hydrometeorology, doi:

[2]Chen, S., and et al., 2013: Evaluation and Uncertainty Estimation of NOAA/NSSL Next Generation National Mosaic QPE (Q2) over the Continental United States. Journal of Hydrometeorology, doi:

[1]Sheng Chen.,et al, 2013: Performance Evaluation of Radar and Satellite Rainfalls for Typhoon Morakot over Taiwan: Are Remote-sensing Products Ready for Gauge Denial Scenario of Extreme Events? Journal of Hydrology, DOI: