孙劭，中国气象科学研究院副研究员，理学博士，硕士生导师。主要从事气象灾害监测预警与风险评估、气候变化对社会经济影响等方面的科研工作。先后主持和参与国家重点研发课题、国家自然科学基金项目、生态环境部气候变化专项等科研项目10余项，发表学术论文80余篇，累计被引3000余次，出版专著3部，获得软件著作权登记3项，研究成果广泛应用于中国气象局灾害监测预警业务平台。2018年作为中国代表团成员参加《联合国气候变化公约》和《巴黎协定》实施细则谈判。近年来主要成果有《全球气候变化区域分异规律及区划》、《中国高速铁路沿线气象灾害风险评估》、《未来情景下中国东部城市群气候风险预估》等。

2023.03－2024.04，美国加州大学尔湾分校，访问学者

2022.07 至今，中国气象科学研究院气象影响与风险研究中心，副研究员

2018.12－2022.07，国家气候中心气候研究开放实验室，副研究员

2016.07－2018.12，国家气候中心气候研究开放实验室，助理研究员

2014.08－2015.08，美国科罗拉多大学大气海洋系，联培博士

2011.07－2016.07，北京师范大学地理科学学部，自然灾害学，博士

2007.09－2011.07，中国海洋大学海洋与大气学院，海洋科学，本科

• Sun, S. (孙劭), Gao, G., Li, Y., Zhou, X., Huang D., & Chen, D. “A comprehensive risk assessment of Chinese high-speed railways affected by multiple meteorological hazards”. Weather and Climate Extremes 2022, 38(5895), 100519. https://doi.org/10.1016/j.wace.2022.100519

• Sun, S. (孙劭), Shi, P., Zhang, Q., Wang, J., Wu, J., & Chen, D. “Evolution of Future Precipitation Extremes: Viewpoint of Climate Change Classification”. International Journal of Climatology 2021, 42(2), 1220-1230. https://doi.org/10.1002/joc.7298

• Sun, S. (孙劭), Dai, T., Wang, Z., Chou, J., Chao, Q., & Shi, P. “Projected increases in population exposure of daily climate extremes in eastern China by 2050”. Advances in Climate Change Research 2021, 12(6), 804-813. https://doi.org/10.1016/j.accre.2021.09.014

• Sun, S. (孙劭), Zhao, Y., He, Y., Xia, Z., Chen, S., Zhang, Y., & Sun, Q. “Exacerbated climate risks induced by precipitation extremes in the Yangtze River basin under warming scenarios”. Frontiers in Ecology and Evolution, 2023, 11: 1127875. https://doi.org/10.3389/fevo.2023.1127875

• Sun, S. (孙劭), Zhai, J., Li, Y., Huang, D., & Wang, G. “Urban waterlogging risk assessment in well-developed region of Eastern China”. Physics and Chemistry of the Earth, 2020, 115, 102824. https://doi.org/10.1016/j.pce.2019.102824

• Zhou, X., Gao, G., Sun, S. (孙劭) ,Yin, Y., Li, Y., Zhao, S. “Assessing Tropical Cyclone Risks to China’s High-Speed Rail Network”. Journal of Applied Meteorology and Climatology, 2026, 65(1), 21-33. https://doi.org/10.1175/JAMC-D-25-0060.1
• Ju, L., Sun, S. (孙劭), Agathokleous, E., Jiang, T., Liu, Q., Wang, G.-J., Zhu, Z.-W., Chuai, X.-W., Iqbal, P., Lu, Y.-T., & Miao, L.-J. “Escalating labor risks from sequential extreme precipitation–heatwave events in China under a warming future”. Advances in Climate Change Research, 2026, 17(3), 649–661.

• Bai, Y., Sun, S. (孙劭), Xu, Y., Zhao, Y., Pan, Y., Xiao, Y., & Li, R. “Exploring the dynamic impact of future land use changes on urban flood disasters: A case study in Zhengzhou City, China”. Geography and Sustainability, 2025, 6(4), 100287. https://doi.org/10.1016/j.geosus.2025.100287

• Ge, C., Sun, S. (孙劭), Yao, R., Sun, P., Li, M., & Bian, Y. “Long-term vegetation phenology changes and response to multi-scale meteorological drought on the Loess Plateau, China”. Journal of Hydrology, 2022, 614(7), 128605. https://doi.org/10.1016/j.jhydrol.2022.128605

• Han, Q., Sun, S. (孙劭), Liu, Z., Xu, W., & Shi, P. “Accelerated exacerbation of global extreme heatwaves under warming scenarios”. International Journal of Climatology, 2022, 42(11), 5430-5441. https://doi.org/10.1002/joc.7541

• Zhou, Z., Lin, A., Wang, L., Qin, W., Zhao, L., Sun, S. (孙劭), Zhong, Y., He, L., Chen, F. “Estimation of the losses in potential concentrated solar thermal power electricity production due to air pollution in China”. Science of The Total Environment, 2021, 784(11), 147214. https://doi.org/10.1016/j.scitotenv.2021.147214

• Miao, L., Ju, L., Sun, S. (孙劭), Agathokleous, E., Wang, Q., Zhu, Z., Liu, R., Zou, Y., Lu, Y., Liu, Q. “Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China.” npj Climate and Atmospheric Science, 2024, 7, 67. https://doi.org/10.1038/s41612-024-00613-5

• Han, Q., Chao, Q., Sun, S. (孙劭), & Shi, P. “Role of adaptation measures in addressing heatwave exposure in China.” Advances in Climate Change Research, 2024, 15(1), 148-157. https://doi.org/10.1016/j.accre.2024.02.001

• Shi, J., Sang, Y., Sun, S. (孙劭), AghaKouchak, A., Hu, S., & Dash, S. “Development of a leaf area index-based relative threshold method for identifying agricultural drought areas.” Journal of Hydrology, 2024, 641, 131846. https://doi.org/10.1016/j.jhydrol.2024.131846

• He, Y., Zhao, Y., Sun, S. (孙劭), Fang, J., Zhang, Y., Sun, Q., Liu, L., Duan, Y., Hu, X., & Shi, P. “Global warming determines future increase in compound dry and hot days within wheat growing seasons worldwide.” Climatic Change, 2024, 177, 70. https://doi.org/10.1007/s10584-024-03718-1

• Dai, T., Dong, W., Sun, S. (孙劭), & Wang, G. “Exploring the asymmetry and rate of SAT warming over the global land area under the 1.5 °C and 2 °C climate change targets”. Meteorology and Atmospheric Physics, 2023, 135, 19. https://doi.org/10.1007/s00703-023-00957-2

• Wang, Z., Zhang, Q., Sun, S. (孙劭), & Wang, P. “Interdecadal Variation of the Number of Days with Drought in China Based on the Standardized Precipitation Evapotranspiration Index (SPEI)”. Journal of Climate, 2022, 35(6), 2003-2018. https://doi.org/10.1175/JCLI-D-20-0985.1

• Yang, W., Wang, Y., Sun, S. (孙劭), Wang, Y., & Ma, C. “Using Sentinel-2 time series to detect slope movement before the Jinsha River landslide”. Landslides, 2019, 16, 1313-1324. https://doi.org/10.1007/s10346-019-01178-8

• Ji, J., Miao, C., Hu, J., Sun, S. (孙劭), Wu, Y., Su, J., Wang, Y., & Zhao, Y. “A global dataset of multiple meteorological drought indices for 1961–2100”. Scientific Data, 2026. https://doi.org/10.1038/s41597-026-08068-4

• Zhang, Y., Xu, W., Deng, C., Sun, S. (孙劭), Ma, M., Wei, J., Chen, Y., Wang, Y., Gao, L., Kunstmann, H. “Non-stationary dynamics of compound climate extremes: a WRF-CMIP6-GAMLSS framework for southeastern China”. Natural Hazards and Earth System Sciences, 2026, 26(5), 2031–2050. https://doi.org/10.5194/nhess-26-2031-2026

• Jing, Y., Shi, P., Zhang, G., Sun, S (孙劭). “Rainstorm variability is mainly influenced by the southwest monsoon in the Hanjiang River basin of China during 1985–2020”. International Journal of Climatology, 2024, 44(2), 686-702. https://doi.org/10.1002/joc.8351
• Wu, Q., Zhang, C., Wang, X., Zhao, L., Sun, S. (孙劭), Hu, T., Li, Z., Chen, Y., & Lu, M. “Nonlinear modeling and interpretation of typhoon disaster losses using machine learning and SHAP values: a case study in Zhejiang Province”. Natural Hazards, 2026, 122, 123.
• Zhao, L., Li, X., Zhang, Z., Yuan, M., Sun, S. (孙劭), Qu, X., Hou, M., Lu, D., & Zhou, Y. “Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China”. Science of the Total Environment, 2023, 874,162366. https://doi.org/10.1016/j.scitotenv.2023.162366

• Ge, C., Sun, S. (孙劭), Yao, R., Sun, P., Li, M., & Bian, Y. “Long-term vegetation phenology changes and response to multi-scale meteorological drought on the Loess Plateau, China”. Journal of Hydrology, 2022, 614(7): 128605. https://doi.org/10.1016/j.jhydrol.2022.128605
• Han, Q., Sun, S. (孙劭), Liu, Z., Xu, W., & Shi, P. “Accelerated exacerbation of global extreme heatwaves under warming scenarios”. International Journal of Climatology, 2022, 42(11): 5430-5441. https://doi.org/10.1002/joc.7541
• Miao, L., Ju, L., Sun, S. (孙劭), Agathokleous, E., Wang, Q., Zhu, Z., Liu, R., Zou, Y., Lu, Y., & Liu, Q. “Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China.” npj Climate and Atmospheric Science, 2024, 7: 67. https://doi.org/10.1038/s41612-024-00613-5
• Han, Q., Chao, Q., Sun, S. (孙劭), & Shi, P. “Role of adaptation measures in addressing heatwave exposure in China.” Advances in Climate Change Research, 2024, 15(1): 148-157. https://doi.org/10.1016/j.accre.2024.02.001
• Shi, J., Sang, Y., Sun, S. (孙劭), AghaKouchak, A., Hu, S., & Dash, S. “Development of a leaf area index-based relative threshold method for identifying agricultural drought areas.” Journal of Hydrology, 2024, 641: 131846. https://doi.org/10.1016/j.jhydrol.2024.131846
• He, Y., Zhao, Y., Sun, S. (孙劭), Fang, J., Zhang, Y., Sun, Q., Liu, L., Duan, Y., Hu, X., & Shi, P. “Global warming determines future increase in compound dry and hot days within wheat growing seasons worldwide.” Climatic Change, 2024, 177: 70. https://doi.org/10.1007/s10584-024-03718-1
• Dai, T., Dong, W., Sun, S. (孙劭), & Wang, G. “Exploring the asymmetry and rate of SAT warming over the global land area under the 1.5 °C and 2 °C climate change targets”. Meteorology and Atmospheric Physics, 2023, 135: 19. https://doi.org/10.1007/s00703-023-00957-2
• Wang, Z., Zhang, Q., Sun, S. (孙劭), & Wang, P. “Interdecadal Variation of the Number of Days with Drought in China Based on the Standardized Precipitation Evapotranspiration Index (SPEI)”. Journal of Climate, 2022, 35(6): 2003-2018. https://doi.org/10.1175/JCLI-D-20-0985.1
• Yang, W., Wang, Y., Sun, S. (孙劭), Wang, Y., & Ma, C. “Using Sentinel-2 time series to detect slope movement before the Jinsha River landslide”. Landslides, 2019, 16: 1313-1324. https://doi.org/10.1007/s10346-019-01178-8
• Jing, Y., Shi, P., Zhang, G., & Sun, S (孙劭). “Rainstorm variability is mainly influenced by the southwest monsoon in the Hanjiang River basin of China during 1985–2020”. International Journal of Climatology, 2024, 44(2): 686-702. https://doi.org/10.1002/joc.8351
• Zhao, L., Li, X., Zhang, Z., Yuan, M., Sun, S. (孙劭), Qu, X., Hou, M., Lu, D., & Zhou, Y. “Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China”. Science of the Total Environment, 2023, 874: 162366. https://doi.org/10.1016/j.scitotenv.2023.162366

• Ji, C., Agathokleous, E., Ju, L., Yu, Z., Zhu, X., Jiang, T., Su, B., Wang, G., Tao, S., Miao, L., Sun, S.(孙劭), Liu, Q. Growing threat of climate-induced abrupt dry-wet transitions in Northern China. Atmospheric Research, 2025, 326, 108325. https://doi.org/10.1016/j.atmosres.2025.108325
• 孙劭. 我国极端天气气候事件发生规律、特点及影响. 中国减灾, 2021, 15: 10-17.

• 孙劭, 李多, 王遵娅, 王国复, 柯宗建，2018年全球重大天气气候事件及其成因. 气象, 2019, 45(04): 533-542. https://doi.org/10.7519/j.issn.1000-0526.2019.04.008
• 刘婷婷, 朱秀芳, 孙劭, 张世喆, 郭锐, 徐昆. 阈值选择对高温时空变化特征的影响. 地理科学, 2023, 43(4): 726-736. https://doi.org/10.13249/j.cnki.sgs.2023.04.016

• 郭春华, 朱秀芳, 孙劭, 唐明秀,徐昆, 张世喆. 中国不同气候区的高温危险性分析. 热带气象学报, 2023, 39(1): 66-77. https://doi.org/10.16032/j.issn.1004-4965.2023.007
• 孔锋, 孙劭. 基于SSPs的未来全球陆地极端降水强度的空间分异特征预估. 灾害学, 2021, 36(4): 107-112.
• 孔锋, 孙劭, 王一飞. 1961—2018年中国极端最高地温的月际时空动态与变异研究. 灾害学, 2021, 36(3):115-124.
• 孔锋, 孙劭, 王鹏. 1961—2018年中国风速均值和极端值的时空演变特征. 灾害学, 2021, 36(2): 89-96.
• 孔锋, 孙劭. 中国近地表不同重现期极大风速强度的时空差异特征研究. 干旱区资源与环境, 2020, 34(12): 148-154. https://doi.org/10.13448/j.cnki.jalre.2020.342
• 武占云, 孙劭, 张双悦, 王伟. 黄河流域城市气候韧性评估及提升对策研究[J]. 国土资源科技管理, 2024, 41(2): 62-74.
• 刘冉, 孙劭, 鞠蕾, 王前锋, 邹扬锋, 张宇阳, 缪丽娟. 黄淮海平原气象干旱的演化特征与时空规律[J]. 农业工程学报, 2023, 39(19): 85-92.
• 唐明秀, 孙劭, 朱秀芳, 张世喆, 徐昆, 刘婷婷. 中国不同气候区的暴雨危险性分析[J]. 自然灾害学报, 2023, 32(2): 151-160. https://doi.org/10.13577/j.jnd.2023.0217
• 蔡雯悦, 徐祥德, 孙劭, 陈逸骁, 朱文会, 徐金霞, 李欣, 邱新法. 2020年春节前后京津冀“低排放”重污染事件[J].科学通报, 2022, 67(Z2): 3439-3451.
• 张颖娴, 孙劭, 刘远, 侯威, 王国复. 2021年全球重大天气气候事件及其成因[J]. 气象, 2022, 48(4):459-469.
• 唐明秀, 孙劭, 朱秀芳, 张世喆, 徐昆, 郭春华. 基于CMIP6的中国未来暴雨危险性变化评估[J]. 地球科学进展, 2022, 37(5): 519-534.
• 孙烨琳, 樊文有, 史培军, 王铸, 孙劭. 湖北气候与管理因素变化对棉花单产影响的区域差异[J]. 地理研究, 2021, 40(4):1064-1077.
• 尹宜舟, 李多, 孙劭, 王国复, 柯宗建. 2019年全球重大天气气候事件及其成因[J]. 气象, 2020, 46(4):538-546.
• 周星妍,曾红玲,王遵娅, 孙劭, 陈鲜艳, 刘艳菊, 等. 2018年中国气候主要特征及主要天气气候事件[J]. 气象, 2019,45(4): 543-552.
• 叶丁嘉, 王国复, 尹宜舟, 宋月旻, 孙劭. 基于灰色关联法的县域台风灾情评估方法初探[J]. 海洋气象学报, 2019, 39(1): 68-75. https://doi.org/10.19513/j.cnki.issn2096-3599.2019.01.007