Google Scholar: https://scholar.google.com/citations?user=mPN7HvAAAAAJ&hl=en
Web of Science ResearcherID:ABF-6887-2020
2022
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)