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周佰铨

副研究员,硕士生导师
  • 学科方向
    气象学
  • 研究方向
    青藏高原气象学,地球系统与全球变化,边界层气象,极端环境观测技术,气候动力学和气候预测,集合预报、诊断评估及极端天气预报方法研究
  • 电子邮箱
    zhoubq@cma.gov.cn
  • 导师简介
  • 教育及工作经历
  • 论文论著
  • 获奖
长期从事气候变化、极端事件检测归因、预测与预估研究,近年来从与降水紧密联系的动力热力物理过程着手,确证了人类活动对我国东部季风区“南涝北旱”降水变化的影响 ,预估了重点关注区域的热力生长季、极端高温和旱涝等气候指标与极端事件的未来变化特征,作为核心成员参与建成了区域极端事件在线检测归因系统,发表在Geophysical Research Letters, Environmental Research Letters 等期刊SCI论文20余篇。担任政府间气候变化专门委员会第六次评估报告第一工作组技术支持小组科学官,青藏高原气候变化及其影响与应对评估报告、第四次气候变化国家评估报告主要作者。承担国家自然科学基金青年科学基金与面上项目各一项,作为子专题负责人参加第二次青藏高原综合科学考察研究专题一项,作为首席助理参与完成国家973 项目及国家重点研发计划项目各一项。

201207-201506,中国气象科学研究院,气象学,硕士

201507-201806,中国气象科学研究院,气象学,博士

201807-202111,中国气象科学研究院灾害天气国家重点实验室,助理研究员

202111-至今,中国气象科学研究院灾害天气国家重点实验室,副研究员



Liu S. Y., B. Q. Zhou*,Y. H. Yang, et al., 2026: Identification and statistical analysis of synoptic and subsynoptic circulation systems associated with summer persistent heavy precipitation events over the Yangtze-Huaihe River Basin. Atmospheric Research, 336, 108894.
Zhou, B. Q., T. T. Yang, B. T. Zhou, et al., 2025: Research advances in projections of regional climate change over China. Journal of Meteorological Research, 39(3), 698–711.
Niu R. Y., B. Q. Zhou*, W. Huang. et al., 2025: Medium–extended range forecasting of Meiyu in 2023: Performance of CMA and ECMWF GEPSs. Journal of Meteorological Research, 39(1), 193–210.
Yang T. T., B. Q. Zhou* and P. M. Zhai. 2025: Different Observational Constraints on Future Temperature Changes over the Tibetan Plateau, International Journal of Climatology, e70235.
Zhou, B. Q., P. M. Zhai, and Z. Liao, 2024. Bivariate attribution of the compound hot and dry summer of 2022 on the Tibetan Plateau. Science China Earth Sciences, 67(7): 2122–2136.
Wang Q., P. M. Zhai, B. Q., Zhou*, Attribution of tropical sea surface temperature change on extreme precipitation over the Yangtze River Valley in 2020, Climate Dynamics, 2023, 61, 3417-3429.
Zhou, B. Q., P. M. Zhai, T. F. B. Simon, and L.C. Fraser. 2021. Detectable anthropogenic changes in daily-scale circulations driving summer rainfall shifts over eastern China. Environmental Research Letters, 16, 074044.
Zhou, B. Q., P. M. Zhai, and R. Y. Niu, 2021. Application of the improved analog-based heavy precipitation forecast model to Yangtze-Huai River Valley and its performance in June–July 2020. Journal of Meteorological Research, 35(6), 987-997.
Zhou, B. Q., P. M. Zhai, and Y. Chen. 2020. Contribution of changes in synoptic-scale circulation patterns to the past summer precipitation regime shift in eastern China. Geophysical Research Letters, 47, e2020GL087728.

Li C. X., Q. H. Tian, R. Yu., B. Q. Zhou*, et al., 2018: Attribution of extreme precipitation in the lower reaches of Yangtze River during May 2016. Environmental Research Letters, 13, 014015.

Zhou, B. Q., P. M. Zhai, Y. Chen and R. Yu, 2018: Projected changes of thermal growing season over Northern Eurasia in a 1.5℃ and 2℃ warmer world. Environmental Research Letters, 13, 035004.
Zhou, B. Q., P. M. Zhai and R. Y. Niu, 2018: Comparative Assessment of two Objective Forecast Models for Forecast of Persistent Extreme Precipitation Events in the Yangtze-Huai River Valley in Summer 2016. Weather and Forecasting, 33, 221–238.
Zhou, B. Q. and P. M. Zhai, 2016: A New Forecast Model Based on the Analog Method for Persistent Extreme Precipitation. Weather and Forecasting, 31, 1325–1341.
Zhou, B. Q., R. Y. Niu and P. M. Zhai, 2015: An assessment of the predictability of the East Asian Subtropical Westerly Jet based on TIGGE data. Advances in Atmospheric Sciences, 32, 401-412.

周佰铨,翟盘茂,2023: 未来的极端天气气候与水文事件预估及其应对.气象,49(3): 257-266.

周佰铨, 翟盘茂, 2021: IPCC 第六次气候变化评估中的气候约束预估方法. 气象学报,79(6):1063-1070.



2020年国家气象中心气象科技工作奖-成果应用奖二等奖(排名2)