个人简历

教授，博士，校外兼职硕士生导师；清华大学地球系统科学系教授、副主任、博士生导师
1994年7月毕业于北京大学地球物理系气候学专业，获理学博士
1991年7月毕业于北京大学地球物理系气候学专业，获理学硕士
1988年7月毕业于北京大学地球物理系气象学专业，获理学学士

研究领域

气候、水、可再生能源领域研究，包括：
1．地球系统模式研制与评估
2．全球能量-水循环过程与机理
3．全球气候变化检测、归因与预估
4．陆面水文同化与气候预测
5．气候变化影响风险与对策
6．可再生能源气象学等

近期论文

1．Mingju Hao, Yong Luo*, Yanluan Lin, Zongci Zhao, Le Wang, Jianbin Huang, Contribution of atmospheric moisture transport to winter Arctic warming, International Journal of Climatology, 2019, DOI: 10.1002/joc.5982
2．Sun H, Luo Y*, Zhao Z, Chang R, The impacts of Chinese wind farms on climate. Journal of Geophysical Research: Atmospheres, 2018, 123. DOI:10.1029/2017JD028028
3．Nath Reshmita, Luo Yong*, Chen Wen, Cui Xuefeng, On the contribution of internal variability and external forcing factors to the Cooling trend over the Humid Subtropical Indo-Gangetic Plain in India, SCIENTIFIC REPORTS, 2018, 8, 18047, DOI:10.1038/s41598-018-36311-5
4．Chen Xin, Xing Pei, Luo Yong*, Nie Suping, Zhao Zongci, Huang Jianbin, Tian Qinhua, Multiscale combination of climate model simulations and Proxy records over the last millennium, Theoretical and Applied Climatology, 2018, 132(3-4): 763-777
5．罗勇，姜彤，夏军等著．中国陆地水循环演变与成因，科学出版社，ISBN：9787030480972，2017年10月出版．
6．J Huang, X Zhang*, Q Zhang, Y Lin, M Hao, Y Luo*, et al. Recently amplified Arctic warming has contributed to a continual global warming trend. Nature Climate Change, 2017, 875–879, doi:10.1038/s41558-017-0009-5.
7．Luo, Yong; Qin, Dahe; Zhang, Renhe; Wang, Shaowu; Zhang, De'er; Ren, Jiawen; Zhang, Tingjun; Zhai, Panmao, Climatic and Environmental Changes in China, CLIMATE AND ENVIRONMENTAL CHANGE IN CHINA: 1951-2012, Springer Environmental Science and Engineering, 2016, 29-45
8．Xing Pei, Chen Xin, Luo Yong*, Nie Suping, Zhao Zongci, Huang Jianbin, Wang Shaowu, The extratropical Northern Hemisphere temperature reconstruction during the last millennium based on a novel method, PLoS ONE, 2016, 11(1): e0146776, DOI: 10.1371/journal.pone.0146776
9．Chen X, Xing P, Luo Y*, Nie S, Zhao Z, Huang J, Wang S, Tian Q, Surface temperature dataset for North America obtained by application of optimal interpolation algorithm merging tree-ring chronologies and climate model output. Theor Appl Climatol, 2015, 127(3): 533-549