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- 基本信息
- 个人简介
- 近期主要论著
- 近期科研项目
-
姓 名：周洋
出生年月：1984年6月
祖 籍：江苏睢宁
国 籍：中国
最高学历：博士
所属专业：气象学
毕业院校：南京大学
职 称：副教授（博导）
所属系部：气候学系
办公地点：气象楼401室
邮 箱：yangzhou@nuist.edu.cn
主讲课程：气象统计方法、Python气象应用、边界层气象学
研究方向：陆面过程对大气次季节变率的影响、大气次季节变率、气候动力学
个人简介：
周洋，男，祖籍江苏睢宁。南京信息工程大学大气科学学院副教授、博导，南京信息工程大学大气科学学院“陆气相互作用科研团队”成员。2011年博士毕业于南京大学气象学专业，随后从事大气和陆面过程次季节变率的相关研究工作，以及边界层气象、气象统计方法、Python气象应用等本科和研究生的课程教学。主持过国家自然科学基金2项与横向课题多项，骨干参与973项目、国家重点研发计划、国家自然科学基金重点项目等多项。正式发表学术论文五十余篇，其中四十余篇被SCI收录，包括第一和通讯作者SCI论文十余篇。
研究领域：
大气内外强迫对中高纬气候的影响，包括：1）热带大气次季节变率对中高纬气候影响；2）热带外大气外强迫对东亚次季节气候的影响，包括陆面过程对大气季节内变率的影响及其机理。
个人学术信息链接：
Web of Science ResearcherID: H-9582-2018
学习经历：
1999.09-2002.06，乌鲁木齐市第一中学，高中
2002.09-2006.06，南京信息工程大学 大气科学专业 学士学位，导师：寿绍文
2006.09-2011.06，南京大学 大气科学学院 博士学位，导师：江静
2009.08-2010.08，加拿大Bedford Institute of Oceanography和Dalhousie大学物理海洋系 博士联合培养，导师：Youyu Lu和Keith Thompson
工作经历：
2011.07-2017.10，南京大学 大气科学学院 助理研究员
2017.10-2022.06，南京信息工程大学 大气科学学院 讲师
2022.07-至今， 南京信息工程大学 大气科学学院 副教授
获奖经历：
2020.05.08，南京信息工程大学，疫情防控期间“优秀在线教学案例”
2021.01.01，南京信息工程大学，大气科学学院2020年度专业建设突出贡献奖
2021.12.06，南京信息工程大学，2020-2021学年优秀班主任
2022.01.07，南京信息工程大学，大气科学学院2021年度学科建设突出贡献奖
2024.01.03，南京信息工程大学，大气科学学院2023年度教学优秀奖
一、著作
1. 周洋, 张涛涛, 李文铠, 黄艳艳. Python气象应用. 北京: 气象出版社, 2024. ISBN: 978-7-5029-8381-9
二、论文
一作及通讯：
1. Zhou, Yang*, B. Liu, B. Lei, Q. Zhao, S. Sun, and H. Chen, 2024: Clustering Anomalous Circulations and Their Implications on the Prediction of Minimum 2m Air Temperature over Northeastern China during Winter. Mon. Wea. Rev., 152, 2287-2308. DOI: 10.1175/MWR-D-24-0014.1
2. Zhou, Yang*, Y. Zhang, R. Wang, H. Chen, Q. Zhao, B. Liu, Q. Shao, L. Cao, and S. Sun, 2023: Deep Learning for Daily Spatiotemporally Continuity of Satellite Surface Soil Moisture over Eastern China in Summer. J. Hydrol., 619, 129308. DOI: https://doi.org/10.1016/j.jhydrol.2023.129308
3. Zhou, Yang*, H. Chen, and S. Sun, 2023: Assessing and Comparing the Sub-Seasonal Variations of Summer Soil Moisture of Satellite Products over Eastern China. Int. J. Climatol., 43, 3925-2946. DOI: https://doi.org/10.1002/joc.8073
4. Zhou, Yang*, and Q. Zhao, 2023: Taking advantage of quasi-periodic signals for S2S operational forecast from a perspective of deep learning. Sci. Rep., 13, 4108. DOI: https://doi.org/10.1038/s41598-023-31394-1
5. Zhou, Yang*, and Y. Wang, 2021: Influence of the Madden-Julian Oscillation on the Arctic Oscillation Prediction in S2S Operational Models. Front. Earth Sci., 9, 787680. DOI: https://doi.org/10.3389/feart.2021.787680
6. Zhou, Yang*, X. Dong, H. Chen, L. Cao, Q. Shao, S. Sun, B. Yang, and J. Rao, 2020: Sub-seasonal variability of surface soil moisture over eastern China. Clim. Dyn., 55, 3527-3541. DOI: 10.1007/s00382-020-05464-3
7. Zhou, Yang, B. Yang*, H. Chen, Y. Zhang, A. Huang, and M. La, 2019: Effects of the Madden-Julian Oscillation on 2-m Air Temperature Prediction over China during Boreal Winter in the S2S Database. Clim. Dyn., 52, 6671-6689. DOI: https://doi.org/10.1007/s00382-018-4538-z
8. Zhou, Yang, B. Yang, Y. Zhao*, J. Jiang, A. Huang, and M. La, 2018: Effects of the ground surface temperature anomalies over the Tibetan Plateau on the rainfall over northwestern China and western Mongolia in July. Theor. Appl. Climatol., 134, 645-667. DOI: 10.1007/s00704-017-2298-z
9. Zhou, Yang*, Y. Lu, B. Yang, J. Jiang, A. Huang, Y. Zhao, M. La, and Q. Yang, 2016: On the relationship between the Madden-Julian Oscillation and 2 m air temperature over central Asia in boreal winter. J. Geophys. Res. Atmos., 121, 13,250–13,272. DOI: 10.1002/2016JD025651
10. Zhou, Yang, A. Huang*, Y. Zhao, Q. Yang, J. Jiang, and M. La, 2015: Influence of the sea surface temperature anomaly over the Indian Ocean in March on the summer rainfall in Xinjiang. Theor. Appl. Climatol., 119, 781-789. DOI: 10.1007/s00704-014-1149-4
11. Zhou, Yang*, A. Huang, J. Jiang, and M. La, 2014: Modeled Interaction between the Sub-Seasonal Evolving of the East Asian Summer Monsoon and the Direct Effect of Anthropogenic Sulfate. J. Geophys. Res. Atmos., 119, 1993-2016. DOI: 10.1002/2013JD020612
12. Zhou, Yang*, J. Jiang, A. Huang, M. La, Y. Zhao, and L. Zhang, 2013: Possible contribution of heavy pollution to the decadal change of rainfall over eastern China during the summer monsoon season. Environ. Res. Lett., 8, 044024. DOI: 10.1088/1748-9326/8/4/044024
13. Zhou, Yang*, J. Jiang, Y. Y. Lu, and A. N. Huang, 2013: Revealing the effects of the El Niño-Southern oscillation on tropical cyclone intensity over the western North Pacific from a model sensitivity study. Adv. Atmos. Sci., 30(4), 1117-1128. DOI: 10.1007/s00376-012-2109-5
14. Zhou, Yang, K. R. Thompson*, and Y. Lu, 2011: Mapping the Relationship between Northern Hemisphere Winter Surface Air Temperature and the Madden–Julian Oscillation. Mon. Wea. Rev., 139, 2439–2454. DOI: 10.1175/2011MWR3587.1
15. Dong, X., Yang Zhou*, H. Chen*, B. Zhou, and S. Sun, 2022: Lag Impacts of the Anomalous July Soil Moisture over Southern China on the August Rainfall over the Huang-Huai River Basin. Clim. Dyn., 58, 1737–1754. DOI: https://doi.org/10.1007/s00382-021-05989-1
16. Zhu H., H. Chen, Yang Zhou*, X. Dong, 2019: Evaluation of the subseasonal forecast skill of surface soil moisture in the S2S database. Atmospheric and Oceanic Science Letters, 12(6), 467-474. DOI: 10.1080/16742834.2019.1663123
17. Yang, B., Yang Zhou*, Y. Zhang, A. Huang, Y. Qian, and L. Zhang, 2018: Simulated precipitation diurnal cycles over East Asia using different CAPE-based convective closure schemes in WRF model. Clim. Dyn., 50, 1639-1658. DOI:10.1007/s00382-017-3712-z
18. Zhao, Y., Yang Zhou*, M. Wang, W. Huo, A. Huang, X. Yang, F. Wang, 2018: Annual distributions and variations of dust weather occurrence over the Tarim Basin, China. Theor. Appl. Climatol., 132, 209-217. DOI: 10.1007/s00704-017-2081-1
19. Huang, A., Y. Zhao, Yang Zhou*, B. Yang, L. Zhang, X. Dong, D. Fang, and Y. Wu, 2016: Evaluation of multisatellite precipitation products by use of groundbased data over China. J. Geophys. Res. Atmos., 121, 10,654–10,675. DOI: 10.1002/2016JD025456
合作作者：
1. Huang, A., Y. Zhang, Z. Wang, T. Wu, D. Huang, Yang Zhou, Y. Zhao, Y. Huang, X. Kuang, L. Zhang, Y. Fang, and Y. Guo, 2013: Extended range simulations of the extreme snow storms over southern China in early 2008 with the BCC_AGCM2.1 model. J. Geophys. Res. Atmos., 118, 8253-8273. doi:10.1002/jgrd.50638.
2. Zhao, Y., A. Huang, X. Zhu, Yang Zhou, and Y. Huang, 2013: The impact of the winter North Atlantic Oscillation on the frequency of spring dust storms over Tarim Basin in northwest China in the past half-century. Environ. Res. Lett., 8, 024026. doi:10.1088/1748-9326/8/2/024026.
3. Huang, A, Yang Zhou, Y. Zhang, D. Huang, Y. Zhao, and H. Wu, 2014: Changes of the Annual Precipitation over Central Asia in the 21st Century Projected by Multi-models of CMIP5. J. Climate, 27(12), 6627-6646.
4. Zhao, Y., A. Huang, Yang Zhou, D. Huang, Q. Yang, Y. Ma, and M. Li, 2014: Impact of the Middle and Upper Tropospheric Cooling over Central Asia on the Summer Rainfall in the Tarim Basin, China. J. Climate, 27, 4721-4732.
5. Kan, M., A. Huang, Y. Zhao, Yang Zhou, B. Yang, and H. Wu, 2015: Evaluation of the summer precipitation over China simulated by BCC_CSM model with different horizontal resolutions during the recent half century. J. Geophys. Res. Atmos., 120, 4657-4670.
6. Zhao, Y., A. Huang, Yang Zhou, Q. Yang, 2016: The impacts of the summer plateau monsoon over the Tibetan Plateau on the rainfall in the Tarim Basin, China. Theor. Appl. Climatol., 126, 265-272. doi:10.1007/s00704-015-1576-x.
7. Wang, Q., A. Huang, Y. Zhao, Yang Zhou, B. Yang, L. Zhang, H. Wu, Y. Jiang, and M. Kan, 2016: Evaluation of the precipitation seasonal variation over eastern China simulated by BCC_CSM model with two horizontal resolutions. J. Geophys. Res. Atmos., 121, 8374–8389, doi:10.1002/2016JD024959.
8. Zhang, W., A. Huang, Yang Zhou, B. Yang, D. Fang, L. Zhang, and Y. Wu, 2017: Diurnal cycle of precipitation over Fujian province during the pre-summer rainy season in southern China. Theor. Appl. Climatol., 130, 993-1006. DOI: 10.1007/s00704-016-1927-2
9. Rao, J., R. Ren, H. Chen, Y. Yu, Yang Zhou, 2018: The stratospheric sudden warming event in February 2018 and its prediction by a climate system model. J. Geophys. Res. Atmos., 123, 13332-13345. DOI:10.1029/2018JD028908
10. Liu, D., B. Yang, Y. Zhang, Y. Qian, A. Huang, Yang Zhou, L. Zhang, 2018: Combined impacts of convection and microphysics parameterizations on the simulations of precipitation and cloud properties over Asia. Atmos. Res., 212, 172-185. https://doi.org/10.1016/j.atmosres.2018.05.017.
11. Wu, Y., A. Huang, D. Huang, F. Chen, B. Yang, Yang Zhou, D. Fang, L. Zhang, L. Wen, 2018: Diurnal variations of summer precipitation over the regions east to Tibetan Plateau. Clim. Dyn., 51, 4287-4307. https://doi.org/10.1007/s00382-017-4042-x
12. Sun, S., S. Zhou, H. Shen, C. Chai, H. Chen, Y. Liu, W. Shi, J. Wang, G. Wang, Yang Zhou, 2019: Dissecting Performances of PERSIANN-CDR Precipitation Product over Huai River Basin, China. Remote Sensing, 11(15), 1805. DOI: 10.3390/RS11151805
13. Rao, J., R. Ren, H. Chen, X. Liu, Y. Yu, J. Hu, Yang Zhou, 2019: Predictability of Stratospheric Sudden Warmings in the Beijing Climate Center Forecast System with Statistical Error Corrections. J. Geophys. Res. Atmos., DOI: 10.1029/2019JD030900
14. Chen, H., W. Zhan, B. Zhou, F. Teng, J. Zhang, Yang Zhou, 2019: Impact of Nonuniform Land Surface Warming on Summer Anomalous Extratropical Cyclone Activity Over East Asia. J. Geophys. Res. Atmos., 124, 10306-10320. DOI: 10.1029/2018JD030165
15. Wang, Y., H. Chen, Yang Zhou, X. Dong, S. Zhu, 2020: Subseasonal variabilities of surface soil moisture in reanalysis datasets and CESM simulations. Atmospheric and Oceanic Science Letters, 13(1), 34-40. DOI: 10.1080/16742834.2019.1675464
16. Yang, B., Y. Zhang, Z. Guo, Y. Qian, A. Huang, Yang Zhou, 2020: Investigating the linkage between simulated precipitation climatology and ENSO-related precipitation anomaly based on multi-model and perturbed parameter ensembles. Theor. Appl. Climatol., 139, 533-547. DOI: 10.1007/S00704-019-02990-X
17. Sun, S., W. Shi, S. Zhou, R. Chai, H. Chen, G. Wang, Yang Zhou, H. Shen, 2020: Capacity of Satellite-Based and Reanalysis Precipitation Products in Detecting Long-Term Trends across Mainland China. Remote Sensing, 12(18), 2902. DOI: 10.3390/rs12182902
18. Zhu, X., X. Liu, A. Huang, Yang Zhou, Y. Wu, and Z. Fu, 2021: Impact of the observed SST frequency in the model initialization on the BSISO prediction. Clim. Dyn., 57, 1097-1117.
19. Xu, L., S. Sun, H. Chen, R. Chai, J. Wang, Yang Zhou, Q. Ma, C. Chotamonsak, 2021: Changes in the reference evapotranspiration and contributions of climate factors over the Indo-China Peninsula during 1961-2017. Int. J. Climatol., 41, 6511-6529. DOI: 10.1002/joc.7209
20. Sun, S., Z. Bi, S. Zhou, H. Wang, Q. Li, Y. Liu, G. Wang, S. Li, H. Chen, Yang Zhou, 2021: Spatiotemporal shifts in key hydrological variables and dominant factors over China. Hydrological Processes, 35(8), e14319. doi: doi.org/10.1002/HYP.14319
21. Dong X. , H. Chen*, Yang Zhou, S. Sun, C. Chotamonsak, P. Wangpakapattanawong. 2022: Local and nonlocal atmospheric effects of abnormal soil moisture over Indochina during May-June. Q. J. Roy. Meteor. Soc., 148(747), 2903-3926. doi:10.1002/qj.4341.
22. Sun S., Y. Liu, H. Chen, W. Ju, C. Xu, Y. Liu, B. Zhou, Yang Zhou, Y. Zhou, and M. Yu, 2022: Causes for the increases in both evapotranspiration and water yield over vegetated mainland China during the last two decades. Agricultural and Forest Meteorology, 324, 109118. DOI: 10.1016/j.agrformet.2022.109118
23. Zhou, Y., T. Wu, Yang Zhou, J. Zhang, F. Zhang, X. Su, W. Jie, H. Zhao, Y. Zhang, and J. Wang, 2023: Can global warming bring more dust? Clim. Dyn., 61, 2693-2715. DOI: 10.1007/s00382-023-06706-w
24. Sun, S., Y. Zhang, R. Chai, Y. Liu, M. Mu, B. Zhou, Yang Zhou, J. Li, H. Chen, 2023: Spatial differences in impacts of CO2 effect on China's meteorological droughts: Analysis from surface resistance perspective. J. Hydrol., 621, 129568. DOI: 10.1016/j.jhydrol.2023.129568
25. Sun, S., Z. Bi, J. Xiao, Y. Liu, G. Sun, W. Ju, C. Liu, M. Mu, J. Li, Yang Zhou, X. Li, Y. Liu, and H. Chen, 2023: A global 5 km monthly potential evapotranspiration dataset (1982-2015) estimated by the Shuttleworth-Wallace model. Earth System Science Data, 15, 4849-4876.
26. Zhou, Y. M., T. Wu, J. Znang, Y. Zhang, Y. W. Zhang, H. Zhao, W. Jie, Yang Zhou, and K. Furtado, 2024: Variation of Dust in Northern China and Its Reproduction in BCC-ESM1 since 1980. Journal of Meteorological Research, 37, 617-631.
27. Zhao, T., S. Wang, C. Ouyang, M. Chen, C. Liu, J. Zhang, L. Yu, F. Wang, Y. Xie, J. Li, F. Wang, S. Grunwald, B. Wong, F. Zhang, Z. Qian, Y. Xu, C. Yu, W. Han, T. Sun, Z. Shao, T. Qian, Z. Chen, J. Zeng, H. Zhang, H. Letu, B. Zhang, L. Wang, L. Wang, L. Luo, C. Shi, H. Su, H. Zhang, S. Yin, N. Huang, W. Zhao, N. Li, C. Zheng, Yang Zhou, C. Huang, D. Feng, Q. Xu, Y. Wu, D. Hong, Z. Wang, Y. Lin, T. Zhang, P. Kumar, A. Plaza, J. Chanussot, J. Zhang, J. Shi, and L. Wang*, 2024: Artificial intelligence for geoscience: Progress, challenges, and perspectives. The Innovation, 5, 100691. DOI: 10.1016/j.xinn.2024.100691
28. Dong, X., H. Chen, Yang Zhou, P. Hsu, and W. Zhang, 2024: Disentangling the Complexities of How Underlying Surface Thermal Factors Influence July Precipitation in Eastern China. J. Climate, 37, 5105–5129. https://doi.org/10.1175/JCLI-D-23-0748.1
29. Sun, S., A. Ma, M. Mu, Y. Liu, Yang Zhou, and J. Li, 2024: Dissecting changes in evapotranspiration and its components across the Losses Plateau of China during 2001–2020. Int. J. Climatol., DOI: 10.1002/joc.8633
30. An, X., Y. Zhang, S. Sun, R. Chai, Z. Bi, J. Li, Yang Zhou, B. Zhou, and H. Chen, 2024: Future drought overestimations due to no constraints of CO2 physiological effect and land-atmosphere coupling on potential evapotranspiration. Environ. Res. Lett., 19, 124031. DOI: 10.1088/1748-9326/ad8c67
31. Sun, S., Z. Bi, M. Mu, Y. Liu, Y. Zhang, J. Li, Y. B. Liu, Yang Zhou, B. Zhou, and H. Chen, 2025: Quantifying impacts of vegetation greenness change on drought over global vegetation zones. Geophys. Res. Lett., 52: e2024GL111634. https://doi.org/10.1029/2024GL111634
32. Sun, S., Y. Zhang, M. Mu, Z. Bi, Y. Liu, J. Li, Yang Zhou, X. Li, and H. Chen, 2025: Necessity of incorporating realistic land surface parameters for trend analyses of potential evapotranspiration and drought. J. Hydrol., 655, 132938.
中文：
1. 赵起帆, 周洋*. MJO对2020年夏季中国东部持续性降水的维持作用[J]. 大气科学, 2024, 48(3): 1157-1172. DOI: 10.3878/j.issn.1006-9895.2210.22126
2. 腊孟珂, 周洋*, 朱汉辰, 董轩. 动力降尺度CMIP5的2006-2035新疆夏季降水变化. 气象科学, 2019, 39(3): 413-420.
3. 李力, 江静, 周洋. 全球变暖背景下西北太平洋热带气旋活动的气候特征[J]. 南京大学学报(自然科学版), 2012, 48(2): 228-235.
4. 安礼政, 江静, 周洋. 东亚夏季风环流对气溶胶分布的影响[J]. 气象科学, 2015, 35(1): 26-32.
5. 吴昊旻, 黄安宁, 周洋, 等. RegCM4.1对中国区域气候模拟能力评估[J]. 气象科学, 2015,35(1): 17-25.
6. 陈飞, 周洋, 胡洁, 等. 深圳市南山区垃圾焚烧发电厂对空气质量的影响[J]. 环境与可持续发展, 2016, 41(3): 165-168.
7. 顾春雷, 方德贤, 周洋, 等. 次网格坡地辐射参数化对RegCM4.1模式模拟东亚夏季气候的影响. 气象科学, 2018, 38(5): 585-595.
8. 吴磊, 陈海山*, 周洋. 北极海冰年际变化对东亚中纬度夏季陆面热力异常的指示作用及其可能原因. 气象科学, 2019, 39(4): 427-436.
一、科研项目
主持：
1. 中国东部土壤湿度对盛夏西太副高次季节进程的影响机理（2022.1-2025.12），国家自然科学基金面上项目，主持
2. 冬季ENSO背景下MJO激发的北传Rossby波列特征研究（2016.1-2018.12)，国家自然科学基金青年基金，主持
3. BCC模式基本气象要素的次季节预报技巧评估（2017、2018、2019、2020、2021），国家气候中心横向项目，主持
4. CMA-CPSv3 S2S预测子系统极端低温事件预测能力检验(2022),中国气象局地球系统数值预报中心模式发展专项，主持
5. CMA-CPSv3 S2S预测子系统中极端降温事件与对应大气系统的物理联系预测能力检验(2023),中国气象局地球系统数值预报中心委托技术开发，主持
参与：
1. 西亚陆面年际-年代际热力异常的成因及其影响中国北方夏季气候的关键过程与物理途径（2022.1-2026.12），国家自然科学基金重点项目，骨干参与
2. 东亚副热带急流和极锋急流协同变化的次季节特征及其机制研究（2020.1-2024.12），国家自然科学基金重点项目，骨干参与
3. 中南半岛地表水文-植被对气候变化的响应及其区域气候反馈研究（2019.1-2021.12），国家自然科学基金中泰合作项目，骨干参与
4. 次季节到年代际尺度的气候可预测性研究（2016.6-2021.5)，国家重大研发计划，骨干参与
二、教研项目
参与：
1. 大气科学拔尖学生培养课程体系构建研究，基础学科拔尖学生培养计划2.0研究课题（一般项目，2021年)，排名第4
2. 面向大气科学拔尖人才的课程思政探索与实践，2022年度基础学科拔尖学生培养计划2.0研究课题（一般课题，2022年)，排名第2