学习经历:
2007/09-2012/09 南京大学 气象学 硕博连读
2009/10-2011/10 加拿大北英属哥伦比亚大学 国家公派联合培养
2003/09-2007/06 南京信息工程大学 大气科学 本科
工作经历:
2022/06-至今 威尼斯5994 副教授
2018/10-2022/05 威尼斯5994 讲师
2012/10-2018/09 南京大学大气科学院 助理研究员
研究方向:
气候可预报性及预测,海气相互作用,气候变异机理
本科生专业基础课程《多元统计分析与谱分析》、研究生课程《海洋大气变率和预报率诊断分析方法》
科研项目:
主持:
国家自然科学基金面上项目,东亚夏季降水次季节可预测性及其物理来源的多模式评估,42075034, 2021-2024,58万,在研
河海大学中央高校基本科研业务费-自由探索专项,2023-2024,在研
国家自然科学基金青年基金项目,多模式和单模式集合季节气候可预报性差异的成因研究,41305085,2014-2016,已结题
河海大学中央高校基本科研业务费-自由探索专项,2019-2020,已结题
南京大学中央高校基本科研业务费-苗圃项目,2014,已结题
骨干承担:
国家重点研发计划 “政府间国际科技创新合作” 重点专项,北极和青藏高原加速变暖的过程及其对欧亚气候的协同影响,2022YFE0106600, 2022-2026, 专题负责人,在研
国家自然科学基金创新研究群体项目,东亚气候变异动力学,41621005,2017-2022,已结题
国家重点研发计划“基于高分辨率气候系统模式的无缝隙气候预测系统研制与评估”第四课题,次季节到年代际尺度的气候可预测性研究,2016YFA0602104,2016-2021,已结题
国家自然科学基金重点项目,大气瞬变涡旋反馈在中纬度海气耦合动力过程中的作用,41330420,2014-2018,已结题
论文论著:
Yang, D., Y. Tang, X.-Q. Yang, X. Song, X. Tan, Y. Wu, X. Yan, T. Liu and X. Sun (2023), Probabilistic versus deterministic potential seasonal climate predictability under the perfect-model framework, Climate Dynamics, https://doi.org/10.1007/s00382-023-06814-7.
Yan, X., Y. Tang, and D. Yang (2023), Study of the Decadal Predictability of Mediterranean Sea Surface Temperature Based on Observations, Journal of Climate, 36(5): 1487-1501.
Yao, W., X. Yan, Y. Tang, D. Yang, X. Tan, X. Song and T. Liu (2022), Multidecadal Variation in the Seasonal Predictability of Winter PNA and Its Sources, Geophysical Research Letters, 49(21), e2022GL099393.
Yang, D., Y. Tang, X.-Q. Yang, D. Ye, T. Liu, T. Feng, X. Yan, X. Sun, and Y. Zhang (2021), A theoretical relationship between probabilistic relative operating characteristic skill and deterministic correlation skill in dynamical seasonal climate prediction, Climate Dynamics, https://doi.org/10.1007/s00382-021-05678-z.
Chu, C., H. Hu, X.‑Q. Yang, and D. Yang (2020), Midlatitude atmospheric transient eddy feedbacks influenced ENSO‑associated wintertime Pacific teleconnection patterns in two PDO phases, Climate Dynamics, 54, 2577-2595, doi: 10.1007/s00382-020-05134-4.
Feng, T., X.-Q. Yang, X. Sun, D. Yang, and C. Chu (2020), Reexamination of the climatology and variability of the northwest Pacific monsoon trough using a daily index, Journal of Climate, 33(14), 5919-5938.
Feng, T., X.-Q. Yang, R. Huang, L. Wu and D. Yang (2020), How Do the Monsoon Trough and the Tropical Upper-Tropospheric Trough Affect Synoptic-Scale Waves: A Comparative Study. Journal of the Meteorological Society of Japan. Ser. II. https://doi.org/10.2151/jmsj.2020-037.
Yang, D., X.-Q. Yang, D. Ye, X. Sun, J. Fang, C. Chu, T. Feng, Y. Jiang, J. Liang, X. Ren, Y. Zhang, and Y. Tang (2019), Reply to comment by Michael K. Tippett on On the Relationship between probabilistic and deterministic skills in dynamical seasonal climate prediction, Journal of Geophysical Research: Atmospheres, 124(7): 3982-3983.
Liu, T., Y. Tang, D. Yang, Y. Cheng, X. Song, Z. Hou, Z. Shen, Y. Gao, Y. Wu, X. Li, and B. Zhang (2019), The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years, Climate Dynamics, 53(11), 6947-6960.
Tang, Y., R.-H. Zhang, T. Liu, W. Duan, D. Yang, F. Zheng, H. Ren, T. Lian, C. Gao, D. Chen, and M. Mu (2018), Progress in ENSO prediction and predictability study, National Science Review, 5: 826–839, doi: 10.1093/nsr/nwy105.
Yang, D., X.-Q. Yang, D. Ye, X. Sun, J. Fang, C. Chu, T. Feng, Y. Jiang, J. Liang, X. Ren, Y. Zhang, and Y. Tang (2018), On the relationship between probabilistic and deterministic skills in dynamical seasonal climate prediction, Journal of Geophysical Research-Atmospheres, 123. https://doi.org/10.1029/2017JD028002.【被选为AGU研究亮点-research spotlight, 并被AGU新闻网站eos.org报道-->链接】
Chu, C., X.‑Q. Yang, X. Sun, D. Yang, Y. Jiang, T. Feng, and J. Liang (2018), Effect of the tropical Pacific and Indian Ocean warming since the late 1970s on wintertime Northern Hemispheric atmospheric circulation and East Asian climate interdecadal changes, Climate Dynamics, 50, 3031-3048, https://doi.org/10.1007/s00382-017-3790-y.
Wang, L., X.-Q. Yang, D. Yang, Q. Xie, J. Fang, and X. Sun (2017), Two typical modes in the variabilities of wintertime North Pacific basin-scale oceanic fronts and associated atmospheric eddy-driven jet, Atmospheric Science Letters, 18(9), 373-380, https://doi.org/10.1002/asl.766.
Jiang, Y., X.-Q. Yang, X. Liu, D. Yang, X. Sun, M. Wang, A. Ding, T. Wang, and C. Fu (2017), Anthropogenic aerosol effects on East Asian winter monsoon: The role of black carbon induced Tibetan Plateau warming, Journal of Geophysical Research-Atmospheres, 122, 5883–5902, doi:10.1002/2016JD026237.
Yang, D., X.-Q. Yang, Q. Xie, Y. Zhang, X. Ren, and Y. Tang (2016), Probabilistic versus deterministic skill in predicting the Western North Pacific- East Asian summer monsoon variability with multi-model ensembles, Journal of Geophysical Research-Atmospheres, 121, 1079–1103, doi:10.1002/2015JD023781.
Feng, T., X.-Q. Yang, W. Zhou, R. Huang, L. Wu, and D. Yang (2016), Synoptic-scale waves in sheared background flow over the Western North Pacific, Journal of the Atmospheric Sciences, 73(11), 4583-4603, http://dx.doi.org/10.1175/JAS-D-16-0064.1.
Ren, X., D. Yang, and X.-Q. Yang (2015), Characteristics and mechanisms of the subseasonal eastward extension of the South Asian high, Journal of Climate, 28, 6799–6822. doi: http://dx.doi.org/10.1175/JCLI-D-14-00682.1
Tang, Y., D. Chen, D. Yang, and T. Lian (2013), Methods of estimating uncertainty of climate prediction and climate change projection, Climate Change -Realities, Impacts Over Ice Cap, Sea Level and Risks, Prof. Bharat Raj Singh (Ed.), ISBN: 978-953-51-0934-1, InTech, DOI: 10.5772/54810.
Yang, D., Y. Tang, Y. Zhang, and X.-Q. Yang (2012), Information-based potential predictability of the Asian summer monsoon in a coupled model, Journal of Geophysical Research-Atmospheres, 117, D03119, doi:10.1029/2011JD016775.
担任Journal of Climate、Climate Dynamics、Journal of Geophysical Research等学术期刊的审稿人