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个人简介

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

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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

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