李伟

个人信息Personal Information

副教授硕士生导师

教师英文名称：Wei Li

教师拼音名称：liwei

所在单位：大气科学学院

办公地点：气象楼601

性别：男

联系方式：weili@nuist.edu.cn

职称：副教授

硕士生导师

学科：气候系统与气候变化

同专业硕导

基本信息
个人简介
近期主要论著
近期科研项目

姓       名:  李伟
出生年月:  1987年12月04日
国       籍:  中国
性       别:  男
导       师:  博士：江志红教授、张学斌教授、李肇新教授；硕士：王文教授
职       称: 副教授
最高学历:  博士
所属系部:  气候学系
毕业院校:  南京信息工程大学
研究方向: 气候变化信号的检测和归因；人类活动对气候系统的影响；气候变化预估
办公地点:  气象楼601
邮       箱:  weili@nuist.edu.cn
主讲课程：现代气候学、气象统计分析、全球气候变化及应对

Google Scholar: https://scholar.google.com/citations?user=mPN7HvAAAAAJ&hl=en

Web of Science ResearcherID：https://www.webofscience.com/wos/author/record/ABF-6887-2020

2025

42）Li, W., Liu, X, R., Sun, Q. H., 2025. Detectable Anthropogenic Expansion of Compound Dry and Hot Event Areas on Global Land. Atmosphere Research. https://doi.org/10.1016/j.atmosres.2025.108219

41) Xue, K., Li, W., Dong, S., Yu, R., Wang, L. 2025. Anthropogenic Influence on the Compound Hot and Dry Event in Summer 2022 in the Tibetan Plateau Based on Statistical Downscaling CMIP6 Models. International Journal of Climatology, e8873. https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.8873

2024

40) Yu, R., Dong, S., Han, Z., Li, W. 2024. Increased exposure of rice to compound drought and hot extreme events during its growing seasons in China. Ecological Indicators, 167, 112735. https://www.sciencedirect.com/science/article/pii/S1470160X24011920

39）Zhu, H., Jiang, Z., Li, L., Li, W., Jiang, S. 2024. Improve the projection of East China summer precipitation with emergent constraints. npj climate and atmospheric science, 7(1), 1-9. https://doi.org/10.1038/s41612-024-00863-3

38）Wang, Z. M., Ma, H. Y., Li, W., Chen, H. S. 2024. Human influence on the duration of extreme temperature events in Asia's hotspot regions. Advances in Climate Change Research. https://www.sciencedirect.com/science/article/pii/S1674927824000467

2023

37) Yu, R., Zhai, P. M., Li, W. 2023. Future extreme precipitation in summer will become more widespread in China depending on level of warming. Earth's Future, 11(11), e2022EF003413.https://doi.org/10.1029/2022EF003413

36) Li, W., Jiang, Z., Li, L. 2023. Anthropogenic Influence on the Record-Breaking Compound Hot and Dry Event in Summer 2022 in the Yangtze River Basin in China. Bulletin of the American Meteorological Society, 104(11), E1928-E1934.https://doi.org/10.1175/BAMS-D-23-0149.1

35) Liu, X., Zhu, Z., Lu, R., Miao, Z., Li, W., Hsu, P. Unprecedented July rainfall in North China in 2021: Combined effect of Atlantic warming and Arctic sea‐ice loss. Journal of Geophysical Research: Atmospheres, e2022JD038068. https://doi.org/10.1029/2022JD038068

34) Zhu, H. H., Z. H. Jiang*, L. Li, Li W., et al. 2023: Intercomparison of multi-model ensemble-processing strategies within a consistent framework for climate projection in China. SCIENCE CHINA Earth Sciences. http://engine.scichina.com/doi/10.1007/s11430-022-1154-7

33）Pan, R., Li W*., Wang, Q., Ailyaer, A. 2023. Detectable Anthropogenic Intensification of the Summer Compound Hot and Dry Events Over Global Land Areas. Earth's Future. https://doi.org/10.1029/2022EF003254

32）Yu, Y., You, Q., Zuo, Z., Zhang, Y., Cai, Z., Li, W., ... & Shrestha, S. 2023. Compound climate extremes in China: Trends, causes, and projections. Atmospheric Research, 106675. https://doi.org/10.1016/j.atmosres.2023.106675

2022

31）You, Q., Jiang, Z., Yue, X., Guo, W., Liu, Y., Cao, J., Li, W., ... & Zhai, P. 2022. Recent frontiers of climate changes in East Asia at global warming of 1.5° C and 2° C. npj Climate and Atmospheric Science, 5(1), 1-17.https://doi.org/10.1038/s41612-022-00303-0

30）Li, W*., Wang, Q., Zhu, H., Tang, Z. 2022. Influence of internal variability on future changes in extreme wind speed over North America. Global and Planetary Change, 103968.https://doi.org/10.1016/j.gloplacha.2022.103968

29) Zhang, X., Yu, J., Li, L. Z., Li, W. 2022. Role of Anthropogenic Climate Change in Autumn Drought Trend over China from 1961 to 2014. Journal of Meteorological Research, 36(2), 251-260. https://doi.org/10.1007/s13351-022-1178-3

28）Li, W*., Z. H. Jiang, L. Z. X. Li, J. J. Luo, P. M. Zhai, 2022. Detection and attribution of changes in summer compound hot and dry events over northeastern China with CMIP6 models. J. Meteor. Res., 36(1), 1–12, doi: 10.1007/s13351-022-1112-8

27）Zhu, L., Kang, W., Li, W*., Luo, J. J., Zhu, Y. 2022. The optimal bias correction for daily extreme precipitation indices over the Yangtze-Huaihe River Basin, insight from BCC-CSM1. 1-m. Atmospheric Research, 106101. https://doi.org/10.1016/j.atmosres.2022.106101

26）潘容筠，李伟*，江志红. 不同辐射强迫对暖干复合事件长期趋势信号检测的影响. 气象科学

25）姜胜，李伟*，朱连华，孙威，江志红. 华南冬季极端低温事件的统计建模及未来预估. 气象科学

2021

24）Li, W*., Pan, R., Jiang, Z., Chen, Y., Li, L., Luo, J. J., Zhai, P., Shen, Y., Yu, J. 2021. Future changes in the frequency of extreme droughts over China based on two large ensemble simulations. Journal of Climate, 34(14), 6023-6035. https://doi.org/10.1175/JCLI-D-20-0656.1

23）Li Wei*, Chen, Y., Chen, W. 2021. The emergence of anthropogenic signal in mean and extreme precipitation trend over China by using two large ensembles. Environment Research Letters. https://doi.org/10.1088/1748-9326/abd26d

22）Li Wei*, Chen Yang. 2021 Detectability of the trend in precipitation characteristics over China from 1961 to 2017. Int J Climatol. 2020;1 – 12. https://doi.org/10.1002/joc.6826

21）Wu, F., Li, W., Zhang, P., Li, W. 2021. Relative contributions of internal atmospheric variability and surface processes to the interannual variations in wintertime Arctic surface air temperatures. Journal of Climate, 1-48. https://doi.org/10.1175/JCLI-D-20-0779.1

20）Aihaiti, A., Jiang, Z., Zhu, L., Li, W., You, Q. 2021. Risk changes of compound temperature and precipitation extremes in China under 1.5° C and 2° C global warming. Atmosphere Research, 105838.https://doi.org/10.1016/j.atmosres.2021.105838

19）Liao Z., Chen, Y., Li, W., Zhai, P.M. 2021. Growing threats from unprecedented sequential flood-hot extremes across China. Geophysical Research Letter. https://doi.org/10.1029/2021GL09450

18）Li, Y., Bai, J., You, Z., Hou, J., Li, W. 2021. Future changes in the intensity and frequency of precipitation extremes over China in a warmer world: Insight from a large ensemble. PLoS ONE 16(5): e0252133. https://doi.org/10.1371/journal.pone.0252133

17）江晓菲, 江志红, 李伟. 2021. 全球增温 1.5 和 2℃ 下中国东部极端高温风险预估. 大气科学学报, 43(6), 1056-1064.

2020

16）Chen, Y., Li, W., Jiang, X., Zhai, P., & Luo, Y. 2020. Detectable Intensification of Hourly-and Daily-scale Precipitation Extremes across Eastern China. Journal of Climate, 1-56. https://doi.org/10.1175/JCLI-D-20-0462.1

15）Zhu, H., Jiang, Z., Li, J., Li, W., Sun, C., & Li, L. (2020). Does CMIP6 inspire more confidence in simulating climate extremes over China?. Advances in Atmospheric Sciences, 37(10), 1119-1132. https://doi.org/10.1007/s00376-020-9289-1

14）Zhao, C., Jiang, Z., Sun, X., Li, W., & Li, L. (2020). How well do climate models simulate regional atmospheric circulation over East Asia?. International Journal of Climatology, 40(1), 220-234. https://doi.org/10.1002/joc.6205

2019

13）Wenxia Zhang, Wei Li*, Lianhua Zhu et al. 2019.Anthropogenic Influence on 2018 summer persistent heavy rainfall in central western China. Bulletin of the American Meteorological Society, https://doi.org/10.1175/BAMS-D-19-0147.1

12）Sun, C., Jiang, Z., Li, W., Hou, Q., & Li, L. (2019). Changes in extreme temperature over China when global warming stabilized at 1.5° C and 2.0° C. Scientific Reports, 9(1), 1-11.https://doi.org/10.1038/s41598-019-50036-z

11）Zhao, C., Jiang, Z., Sun, X., Li, W., & Li, L. (2019). How well do climate models simulate regional atmospheric circulation over East Asia?. International Journal of Climatology. https://doi.org/10.1002/joc.6205

10）武丰民, 李文铠, 李伟. 北极放大效应原因的研究进展. 地球科学进展, 2019, 34(3): 232–242. doi: 10.11867/j.issn.1001-8166.2019.03.0232

2018

9）Li, W., Jiang, Z., Zhang, X., & Li, L. 2018. On the emergence of anthropogenic signal in extreme precipitation change over China. Geophysical Research Letters. https://doi.org/10.1029/2018GL079133

8）Li, W., Jiang, Z., Zhang, X., Li, L., & Sun, Y. 2018. Additional risk in extreme precipitation in China from 1.5° C to 2.0° C global warming levels. Science Bulletin, 63(4), 228-234. https://doi.org/10.1016/j.scib.2017.12.021

7）江晓菲, 李伟, 游庆龙. 2018. 中国未来极端气温变化的概率预估及其不确定性. 气候变化研究进展, 79(03), 12-20.

2017

6）Jiang, Z., Jiang, S., Shi, Y., Liu, Z., Li, W., Li, L. 2017. Impact of moisture source variation on decadal‐scale changes of precipitation in North China from 1951 to 2010. Journal of Geophysical Research: Atmospheres, 122(2), 600-613. https://doi.org/10.1002/2016JD025795

5）蒋帅, 江志红, 李伟, 沈雨辰. 2017. CMIP5模式对中国极端气温及其变化趋势的模拟评估. 气候变化研究进展(13), 24

2016

4）Li, W., Jiang, Z., Xu, J., Li, L. 2016. Extreme Precipitation Indices over China in CMIP5 Models. Part II: Probabilistic Projection. Journal of Climate, 29(24), 8989-9004. https://doi.org/10.1175/JCLI-D-16-0377.1

3）周易, 江志红, 邱欣, 李伟, 张强. 2016. Wrf模式与自动站资料同化相结合的辽宁高分辨2012年1月气温场建立试验. 气象科学, 36(5), 639-646.

2015

2）Jiang, Z., Li, W., Xu, J., Li, L. 2015. Extreme precipitation indices over China in CMIP5 models. Part I: Model evaluation. Journal of Climate, 28(21), 8603-8619. https://doi.org/10.1175/JCLI-D-15-0099.1

2013

1）王文, 李伟, 李耀辉. 2013. 黄河中下游地区夏季旱涝年低频振荡特征分析. 冰川冻土, 35(4)