德国波恩大学自然科学博士，南京信息工程大学二级教授，博士生导师，《大气科学学报》执行主编，《暴雨灾害》《Remote Sensing》常务编委，长三角科技期刊联盟理事会常务理事，江苏省科技期刊学会副理事长，江苏省首席科技传播专家，中国气象服务协会人工智能技术委员会指导专家组副主任，中国海洋学会人工智能海洋学专委会常务委员。主持国家973项目课题、国家重点研发计划课题、国家自然科学基金项目等，独著图书1部，合著图书6部，发表论文282篇，授权发明专利20项，获批软著64项，获中国发明协会发明创业创新奖一等奖，第49届日内瓦国际发明展金奖，湖南省科技进步二等奖，吉林省科技进步三等奖，中国气象局气象科学二等奖，中国气象服务协会气象科技创新奖二等奖，南京信息工程大学科技进步特等奖二次。

教育背景:  

1996.04-2000.09：德国波恩大学气象系，博士研究生，获自然科学博士学位（气象学、物理学）；
1986.09-1989.05：南京气象学院气象系天气动力学专业，硕士研究生，获理学硕士学位；
1982.09-1986.06：南京气象学院气象系天气动力学专业，本科，获理学学士学位。

工作经历:  

2021.01 至今：南京信息工程大学二级教授、博士生导师；

2004.09-2020.12 ：南京信息工程大学教授，博士生导师，先后任气象台副台长（主持工作）、大气科学学院副院长、WMO区域培训中心副主任、国际合作与交流处副处长、期刊处副处长、《大气科学学报》执行主编（正处职）等；

2000.10 -2004.08：任德国天气在线气象服务有限责任公司亚洲部总监、高级研究员；

1996.04-2000.09：德国波恩大学气象系研究人员（获德国DAAD奖学金资助）；

1992.10-1996.03：南京气象学院讲师；

1989.05-1992.09：南京气象学院助教。

学术兼职:  

先后兼任德国波恩大学气象系、新加坡南洋理工大学国立教育学院客座教授，中国气象服务协会人工智能技术委员会指导专家组副主任、气象人工智能技术标准委员会副主任委员，中国海洋学会人工智能专委会常委，江苏省科技期刊学会第八届理事会副理事长，江苏省首席科技传播专家，长三角科技期刊联盟理事会常务理事，国家重点研发计划项目咨询专家，中国气象局智慧冬奥2022天气预报示范计划专家组专家。

中国气象学会高原气象学委员会委员，AGU、AOGS、DMG、中国气象学会会员，THORPEX中国委员会交互式全球大集合工作组（GIFS－TIGGE－WG）成员。

担任《Remote Sensing》《暴雨灾害》编委，《Frontiers in Earth Science》专刊特邀副主编，《Atmosphere》专刊特邀编辑, 《Journal of Climate》《Climate Dynamics》《Monthly Weather Review》《Weather and Forecasting》《Advances in Atmospheric Sciences》《Journal of Meteorological Research》《大气科学》《气象学报》等国内外数十家期刊的评审专家。

社会团体兼职：

担任江苏省侨联委员，南京欧美同学会理事、留欧分会副会长，南京信息工程大学欧美同学会副会长、侨联副主席。

所获荣誉：

科研  

2024年获第49届日内瓦国际发明展金奖 （排名第一）

2024年获湖南省科技进步奖二等奖（排名第四）

2024年获江苏省气象学会技术进步奖二等奖（排名第五）

2023年二篇论文荣获《南水北调与水利科技（中英文）》期刊2023年度优秀论文

2023年荣获2022年度江苏省气象学会气象科技成果奖技术进步奖二等奖（排名第六）

2022年获中国发明协会2022年度发明创业奖创新奖一等奖（排名第一）

2022年获2021年度中国气象服务协会科学技术奖气象科技创新奖二等奖（排名第一）

2022年荣获《应用气象学报》优秀作者奖

2022年获吉林省科学技术进步奖三等奖（排名第二）

2022年获2021年度江苏省气象学会气象科技成果奖基础研究奖二等奖（排名第五）

2020年获2019年度江苏大气科学基础研究成果奖二等奖（排名第一）

2019年获科学中国人（2018）年度人物。

2013年获南京信息工程大学科技进步特等奖（排名第一）

2013年获江苏军民结合科技创新奖三等奖（排名第一）

2008年获南京信息工程大学科技进步特等奖（排名第一）

2005年江苏省“六大人才高峰”项目获得者

1996－2000年获德国德意志学术交流中心奖学金

1994年获中国气象局气象科学二等奖（排名第九）

1993年获南京气象学院科技进步一等奖（排名第九）

教学

2024年指导的博士生（吕阳）获国家奖学金，并入选中国科协青年人才托举工程博士生专项计划。

2022年指导的本科生（柳玉童）获南京信息工程大学优秀本科毕业论文3等奖

2021年指导的硕士生（吕阳）获国家奖学金

2020年主讲的《Advanced Synoptic Dynamics》被授予江苏高校外国留学生英文授课省级精品课程

2018年主讲的《Advanced Synoptic Dynamics》被授予江苏高校省级外国留学生英文授课培育课程

2016年博士生辛美美（缅甸）荣获中国政府优秀来华留学生奖学金

2015年被评为优秀留学生导师，指导的博士生（ZaheerA.Babar）被评为优秀留学生

2015年指导的硕士生（何诚飞）获国家奖学金

2014年指导的博士生（张璟）获国家奖学金

2005-2014年指导的本科毕业生先后有7人获南京信息工程大学优秀本科毕业论文1-3等奖

2012年获南京信息工程大学“本科教学质量月活动先进个人”称号

2012年指导的硕士生（Sawadogo）被评为优秀留学生

2009年国家级“大气科学专业课主干程群教学团队”骨干教师（排名第六）

2007年指导的本科毕业论文获江苏省普通高校本科优秀毕业论文（设计）二等奖（贾燕）

2006年参与建设的精品课程"天气学"被教育部批准为国家精品课程(排名第三）

2006年参与建设的精品课程"天气学"被江苏省教育厅批准为江苏省一类精品课程(排名第三）

2006年获南京信息工程大学教学成果一等奖（排名第一）

2006年获南京信息工程大学“教学评估创优工作先进个人”称号

2005年指导的本科毕业论文获江苏省普通高校本科优秀毕业论文（设计）二等奖（王毅）

科普、期刊、创新创业

2024年获江苏科技期刊卓越行动计划领军期刊

2024年获南京信息工程大学首席科技传播专家表现突出个人

2023年获江苏省科技期刊学会优秀个人奖

2023年获中国气象学会气象科技成果转化优秀科普文章三等奖

2023年获2022年度江苏省科技期刊学会突出贡献奖

2022年获南京信息工程大学首席科技传播专家称号

2022年获南京信息工程大学科普工作先进个人

2020年获 无锡市 "锡山英才"创新创业领军人才项目资助

2020年获 "龙山"创新创业领军人才项目资助

2018年获华东地区优秀期刊工作者 优秀主编、江苏期刊明珠奖 优秀主编

2012年获江苏省第二届大学生创新创意创业大赛优秀指导教师奖

2010年指导的赵艳风团队获“CCTV赢在常熟—全国大学生创业大赛”二等奖

2010年被评为“挑战杯”第六届江苏省大学生创业计划竞赛优秀指导老师

2006年获第七届中国气象科普工作先进工作者荣誉称号

2006年获江苏省气象科普先进工作者荣誉称号

2006年科普作品《异常天气及对策》获江苏省气象科普作品二等奖

发明专利20项，实用新型专利6项，软件著作权64件。至今已发表240篇期刊论文（2024中国知网高被引学者TOP1%），其中被SCI收录117篇（RG 论文影响力TOP5%），国际会议论文44篇，其中被EI收录16篇。

发明专利：

1. 智协飞，吕阳，季焱，朱寿鹏. 基于改进卷积神经网络的城市积水水位预测方法及系统，ZL202210815291.4 

2. 智协飞，吕阳，季焱，朱寿鹏. 一种基于人工智能的精细化城市积水水位拟合方法，ZL202210605679.1  

3.智协飞，周立群，吕阳等. 一种基于改进VIT神经网络的短临降水预报方法，ZL202410437687.9

4.智协飞,丁姝妍,吕阳等. 一种基于深度学习并结合地形的风场降尺度方法, ZL 2024 10799661.9

5. 吕阳，智协飞，季焱，朱寿鹏. 一种基于多通道卷积神经网络的次季节台风生成预报方法，ZL202310174997.1

6. 丁姝妍，智协飞，王靖宇，吕阳，季焱. 一种基于深度学习的模式预报产品降尺度方法，ZL202310437043.5

7. 季焱，智协飞，张永宏等. 一种基于多气象要素的短临降水集合预报及降尺度方法, ZL202311518550.8

8. 季焱，智协飞，张永宏等. 一种基于深度学习的强降水空间整体相似度的强降水预报订正方法, ZL 2023 1 1518546.1

9. 季焱，智协飞，张永宏等. 一种基于Diffusion和ViT 的降尺度方法，ZL 2023 1 1525721.X

10. 朱寿鹏，智协飞，吕阳，范怡，张玲. 一种面向单模式次季节预报订正的邻域迭代映射方法，ZL202110981502.7

11. 翁羽，智协飞，张玲等. 一种基于改进卷积神经网络利用热带太平洋次表层海温异常的预测ENSO方法，ZL  2024 10652939.X

12. 周立群，智协飞，季焱等. 一种基于改进U-Net的雷达回波时间降尺度订正方法, ZL 2024 10447311.6

13. 徐经纬，吴焕萍，智协飞等. 一种基于改进卷积神经网络的多源卫星有效波高融合方法，ZL 2024 10587251.8

14. 陈超辉，李坤，何宏让，陈雄，陈祥国，智协飞, 等. 一种基于高斯权重的LBGM法初值扰动生成方法,  ZL202110360971.7

15. 朱寿鹏，范怡，吕阳，张玲，智协飞，等. 基于多模态融合改进深度学习的极端降水次季节预报方法，ZL202410452556.8

16. 范怡，尹志聪，张玲，姜玉洁，朱寿鹏，智协飞，段明铿. 一种前兆因子深度融合的次季节极端降水预测方法，ZL202411305389.0

17. 陈静，李晓莉，..., 沈学顺，龚建东，智协飞，夏宇. GRAPES-REPS区域集合预报方法及系统，ZL202210079142.6

18. 朱寿鹏，吕阳，张玲，范怡，智协飞，等. 融合精细地形特征的延伸期降水连续分布概率预报方法，ZL202411589294.6

19. 张杰，刘双全，智协飞，等. 基于CBAM-TransUnet的风场智能预报订正方法及系统，CN117420618A

图书（独著图书1部，合著图书6部（含章节））：

1. Zhi X. Interannual variability of the Indian summer monsoon and its modeling with a zonally symmetric 2D-model. Aachen: Shaker Verlag, 2001.

2. Wash D K, Zhi X, Zhang L. Interannual and Interdecadal Variations in Tropical Cyclone Activity over the Arabian Sea and the Impacts over Pakistan. In High-Impact Weather Events over the SAARC Region. Springer International Publishing/Capital Publishing Company, 2015, 129-145.

3. 智协飞, 谭桂容, 江燕如, 等. 大气科学实验中心的气象实践教学体系.  赵学余等编：南京信息工程大学实验室建设研究，北京：气象出版社，2009.

4. 矫梅燕，张明华，智协飞，等. 朱乾根纪念文集. 北京：气象出版社, 2014.

5. 严中伟，智协飞，柴麟敏，等. 第四次气候变化国家评估报告特别报告（科普版）. 北京：商务印书馆，2023.  

6. 智协飞. "学术+科普“融合发展助力科技期刊两翼齐飞——以《大气科学学报》为例. 中国科技期刊发展蓝皮书2023，314-318. 北京：科学出版社，2023.

7. 智协飞，季焱，丁姝妍，等. 数值模式预报智能解释应用, 气象人工智能. 气象出版社，2025.

期刊论文  (https://www.researchgate.net/profile/Xiefei-Zhi/research)

2025 (9)

1. Lyu Y, Zhi X*, Zhu S*, et al. Subseasonal prediction of weekly precipitation anomalies over Southern China during early summer based on predictability analysis and machine learning. Atmospheric Research, 2025, 315(9):107927, https://doi.org/10.1016/j.atmosres.2025.107927 

2. Lyu Y, Wang J*, Zhi X*, et al. Revealing the Circulation Patterns Most Conducive to Regional Heatwave in Southeast Asia and the Mechanisms Behind. Geophysical Research Letters, 2025, 52(3), https://doi.org/10.1029/2024GL112190

3. Dong F, Zhi X*, Fraedrich K, et al. Quasi-biweekly oscillation modifying the diurnal rainfall variation over South China during pre-summer rainy season. Theoretical and Applied Climatology,  156(4),   https://doi.org/10.1007/s00704-025-05425-y

4. Wang Q, Zhang L, Zhi X, et al. Sensitivities of the interannual variability of the East Asian winter monsoon for the physical parameters in CAS-FGOALS-g3. Climate Dynamics, 2025,  63, 192, (2025),   https://doi.org/10.1007/s00382-025-07675-y

5. Chen G, Zhi X*, Ding S, et al. Downscaling of the surface temperature forecasts based on deep learning approaches. Meteorological Applications, 2025, 32, https://doi.org/10.1002/met.70042

6. Ji L, Zhi X, Luo Q, et al. Hierarchical multimodel ensemble probabilistic forecasts for precipitation over East Asia. Meteorological Applications, 2025, 32(2), e70035.   https://doi.org/10.1002/met.70035

7. Ji L, Ji Y, Zhi X, et al. Probabilistic Forecasting of Summer Wind Speed in China Using Multimodel Ensembles, Earth and Space Science, 2025, 12(4), https://doi.org/10.1029/2024EA003850

8. Endris A M, Zhi X*, Kemal A A. Extreme Weather Patterns in Ethiopia: Analyzing Extreme Temperature and Precipitation Variability. Atmosphere, 2025, 16(2), https://doi.org/10.3390/atmos16020133

9.  陈静，朱跃建，段晚锁，智协飞，闵锦忠，李晓莉，邓国，袁慧玲，冯杰，杜钧，李巧萍，龚建东，沈学顺，穆穆. 集合预报进展、挑战及展望. 气象学报，2025，https://doi.org/10.11676/qxxb2025.20240151

2024 (15)

1.  Lyu Y, Wang J*, Zhi X*, et al. The characterization, mechanism, predictability, and impacts of the unprecedented 2023 Southeast Asia heatwave. npj Climate and Atmospheric Science, 7, 246 (2024), https://doi.org/10.1038/s41612-024-00797-w 

2. Sein Z, Zhi X*, Ogou F K, et al. Covariability of decadal surface air temperature variability over Myanmar with sea surface temperature based on singular value decomposition analysis.  Environmental Research Letters, 2024.  https://doi.org/10.1088/1748-9326/ad300a

3. Lyu Y, Zhu S*, Zhi X*, et al. Significant advancement in Subseasonal-to-Seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-UNET method.  Environmental Research Letters, 2024,   https://doi.org/10.1088/1748-9326/ad5577  

4. Lommen D, Wang J, Su H, Zhi X, Wang X, Park E, Zhang H, Lee J, Wong M. Burst flooding in Singapore: an emerging urban flooding type revealed by high-temporal-resolution observations. Environmental Research Letters, 2024, https://doi.org/10.1088/1748-9326/ad975c

5. Wong M, Wang J, Zhi X, et al. A 1940-2020 spatiotemporal analysis of thermal discomfort days in Southeast Asian countries, Environmental Research Communications,  https://doi.org/10.1088/2515-7620/ad810b

6. Ding S, Zhi X*, Lyu Y, et al. Deep Learning for Daily 2-m Temperature Downscaling. Earth and Space Science,  2024,  https://doi.org/10.1029/2023EA003227

7. Xu J, Wu H, Zhi X, et al. Validation of Multisource Altimeter SWH Measurements for Climate Data Analysis in China’ Offshore Waters. Remote Sensing, 2024(16): 2162,   https://doi.org/10.3390/rs16122162

8. Tian Y, Ji Y, Gao X, Yuan X, Zhi X. Post-processing of short-term quantitative precipitation forecast with the multi-stream convolutional neural network,  Atmospheric  Research, 2024，309(6):107584,  https://doi.org/10.1016/j.atmosres.2024.107584

9. Du T, Zhi X*, Wang Y, et al. The Distinct Spatial Patterns and Physical Mechanisms of Coastal Boundary Layer Jets over the Northern South China Sea. Monthly Weather Review, 2024，  152(12):2639-2660, https://doi.org/10.1175/MWR-D-23-0263.1

10. Fan Y, Lyu Y, Zhu S, Yin Z, Duan M, Zhi X, Zhou B. Monthly Prediction on Summer Extreme Precipitation With a Deep Learning Approach: Experiments Over the Mid‐To‐Lower Reaches of the Yangtze River. Earth Space Science, 2024, 11(11), https://doi.org/10.1029/2024EA003926

11. Ji Y, Zhi X, Kong D, et al. Physics-aware Deep Neural Network for Bias Correction of 1–24-h Precipitation Forecasts. ESS Open Archive, 2024,  https://doi.org/10.22541/ essoar.173046723. 34291254/v1

12.  朱延和, 朱寿鹏, 夏平, 孔扬, 周林义, 吕阳, 王宇浩, 张殷宸, 智协飞, 霍文, 艾力亚尔·艾海提. 基于U-net神经网络的新疆10 m风速预报订正研究. 大气科学，2024, https://doi.org/10.3878/ j.issn.1006-9895.2406.23152

13. 吉璐莹, 智协飞, 季焱, 等. 基于多模式集成的降水空间结构预报改进研究. 大气科学, 2024，https://doi.org/10.3878/j.issn.1006-9895.2305.23020

14. 姜玉洁, 张玲, 朱寿鹏, 白永清, 智协飞. 冬春两湖盆地地区大气气溶胶污染的年代际变化特征及其与东亚经向风南北反相位的联系. 大气科学, 2024，48(2):773−788.

15. 智协飞，崔碧瑶，季焱. 基于深度学习的城市积水深度预报研究. 南京信息工程大学学报（自然科学版），2024, 16(6):771-781.https://doi.org/10.13878/j.cnki.jnuist.20230211001

2023(24)

1. Lyu Y, Zhu S*, Zhi X*, et al. Improving Subseasonal‐To‐Seasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method. Geophysical Research Letters, 50(24), https://doi.org/10.1029/2023GL106245 

2. Dong L, Wang J*, Zhi X, et al. Revealing the key drivers conducive to the “once-in-a-century” 2021 Peninsular Malaysia flood. Geophysical Research Letters, 50, e2023GL106112.  https://doi.org/10.1029/2023GL106112

3. Xu J, Zhi X, Sein D V, et al. Predictability of Coastal Boundary Layer Jets in South China Using Atmosphere–Ocean Coupling. Journal of Geophysical Research-Atmosphere, 2023, https://doi.org/10.1029/2023JD039184

4. Dong F, Zhi X*, Zhu S, et al. Principal Modes of Diurnal Cycle of Rainfall over South China during the Pre-summer Rainy Season.  Journal of Climate, 2023, https://doi.org/10.1175/JCLI-D-22-0284.1

5. Ji Y, Gong B, Langguth M, Mozaffari A, Zhi X. CLGAN: A GAN-based video prediction model for precipitation nowcasting. Geoscientific Model Development, 2023,16, 2737–2752,  https://doi.org/10.5194/gmd-16-2737-2023

6. Ji Y, Zhi X*, Ji L, Peng T. Conditional Ensemble Model Output Statistics for Postprocessing of Ensemble Precipitation Forecasting. Weather and Forecasting, 2023, https://doi.org/10.1175/WAF-D-22-0190.1

7. Zhu S, Zhang L, Jiang H, ...Zhi X. Pattern projection calibrations on subseasonal forecasts of surface air temperature over East Asia.Weather and Forecasting, 2023, https://doi.org/10.1175/WAF-D-22-0046.1 

8. Hou M, Duan W, Zhi X. Evaluating the Joint Effect of Tropical and Extratropical Pacific Initial Errors on Two Types of El Niño Prediction Using Particle Filter Approach.  Journal of Marine Science and Engineering, 2023, 11, 1292. https://doi.org/10.3390/jmse11071292  

9. Xiang T, Zhi X*, Guo W, et al. Ten-Meter Wind Speed Forecast Correction in Southwest China Based on U-Net Neural Network. Atmosphere, 2023, 14(9):1355 https://doi.org/10.3390/atmos14091355

10. Lim K T C, Zhi X, Ayugi B O, et al.  Meteorological Drought Variability over Africa from Multisource Datasets. Atmosphere, 2023, 14(6):1052, https://doi.org/10.3390/atmos14061052

11. Wang T, Zhang Y, Zhi X*, Ji Y. Multi-Model Ensemble Forecasts of Surface Air Temperatures in Henan Province Based on Machine Learning. Atmosphere, 2023, 14(3):520, https://doi.org/10.3390/atmos14030520

12. Kong D, Zhi X*, Ji Y, et al. Precipitation Nowcasting Based on Deep Learning over Guizhou, China. Atmosphere, 2023, 14, 807. https://doi.org/10.3390/atmos14050807

13. Ji Y, Zhi X*, Wu Y, et al. Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning. Frontiers in Earth Science, 2023, 11:1105140, https://doi.org/10.3389/feart.2023.1105140

14. Zhi X*, Wang J.  Editorial: AI-based prediction of high-impact weather and climate extremes under global warming:A perspective from the large-scale circulations and teleconnections. Frontiers in Earth Science, https://doi.org/10.3389/feart.2023.1126381

15. Xu J, Koldunov N, Xu M, Fraedrich K, Zhi X.  Validation of Nadir SWH and Its Variance Characteristics from CFOSAT in China’s Offshore Waters. Remote Sensing, 2023, https://doi.org/10.3390/rs15041005

16. Xing N, Zhang Y, Li S, ...Zhi X. The features and probability forecasting of short–duration heavy rainfall in the Beijing-Tianjin-Hebei region caused by North China cold vortices. Frontiers in Environmental Science,  https://doi.org/10.3389/fenvs.2022.1101602

17. 智协飞，吴柏莹，罗忠红，等. 华东地区地面和高空风场的多模式精细化预报. 大气科学学报, 2023, 46(6):917-927.DOI: 10.13878/j.cnki.dqkxxb.20210318001

18. 智协飞, 霍自强. 中国东南地区复杂地形下降水概率预报的订正研究. 大气科学学报, 2023, 46(2):230-241. https://doi.org/10.13878/j.cnki.dqkxxb.20210128001

19. 智协飞，田云涛，陈昌春，等. 干旱传播研究进展与展望Ⅰ——干旱传播含义、特征、类型与研究方法. 南水北调与水利科技(中英文), 2023(4):625-653.

20. 智协飞，田云涛，陈昌春，等. 干旱传播研究进展与展望Ⅱ——影响因素与干旱传播研究展望.  南水北调与水利科技(中英文), 2023(4):654-668.

21. 张海鹏，智协飞，李昊，等. 基于Local-BGM法的冷涡暴雨集合预报试验及评估检验. 气象科学，2023, 43(1):35-45.

22. 郝翠，于波，戴翼，智协飞，张迎新. 北京地区汛期降水时空分布的统计降尺度研究. 气象，2023，49(7):843:854.

23. 王田,季焱,杜钦,朱寿鹏,智协飞.基于OMOS方法的地面气温短时预报——以重庆市为例.气象科学,2023,43(5):652-661.

24. 宋柳贤, 张玲, 马茜雅, 董甫, 智协飞. 江淮流域暖切变型暖区暴雨的客观识别与分析. 大气科学, 47(6): 1709−1722. https://doi.org/10.3878/j.issn.1006-9895.2207.21220

2022 (25)

1. Sein Z, Zhi X*, Ogou F, et al. Evaluation of coupled model intercomparison project phase 6 models in simulating precipitation and its possible relationship with sea surface temperature over Myanmar. Frontiers in Environmental Science, 2022, 10:993802,  https://doi.org/10.3389/fenvs.2022.993802 

2. Zhu S, Yang H, ......, Zhi X. Observations and Forecasts of Urban Transportation Meteorology in China: A Review. Atmosphere, 2022, 13(11):1823,  https://doi.org/10.3390/atmos13111823 

3. Lyu Y, Zhi X*, Wu H, et al. Analyses on the Multimodel Wind Forecasts and Error Decompositions over North China. Atmosphere, 2022, 13(10):1652,  https://doi.org/10.3390/atmos13101652 

4. Ji Y, Zhi X*, Ji L, et al. Deep learning-based post-processing for probabilistic precipitation forecasting. Frontiers in Earth Science, 2022,  10:978041,  https://doi.org/10.3389/feart.2022.978041

5. Zhu Y, Zhi X*, Lyu Y, et al. Forecast calibrations of surface air temperature over Xinjiang based on U-net neural network. Frontiers in Environmental Science, 2022, 10:1011321,  https://doi.org/10.3389/fenvs.2022.1011321

6. Ji L, Zhi X*, Schalge B. Dynamic downscaling ensemble forecast of an extreme rainstorm event in South China by COSMO EPS.   Frontiers in Earth Science, 2022,   https://doi.org/10.3389/feart.2022.969742

7. Zhang L, Ma X, Zhu S, Guo Z, Zhi X, Chen C. Analyses and applications of the precursor signals of a kind of warm sector heavy rainfall over the coast of Guangdong, China. Atmospheric Research, 2022, https://doi.org/10.1016/j.atmosres.2022.106425

8. Lyu Y, Zhu S, Zhi X*, et al. Subseasonal forecasts of precipitation over maritime continent in boreal summer and the sources of predictability. Frontiers in Earth  Science,  2022,   https://doi.org/10.3389/feart.2022.970791

9. Mei Q, Wang J, Zhi X, et al. Preliminary Application of a Multi-Physical Ensemble Transform Kalman Filter in Cloud and Precipitation Forecasts. Atmosphere, 13(9):1359, https://doi.org/10.3390/atmos13091359

10. Huo W, Zhi X, Hu S, et al. Refined assessment of potential evapotranspiration in the tarim basin. Frontiers in Earth Science,  2022,    https://doi.org/10.3389/feart.2022.904129

11. Zhang L, Song L, Zhu S, Guo Z, Wang H, Zhou L, Chen C, Zhi X, Forecasts of the Warm-Sector Heavy Rainfall With a Warm Shear Pattern Over Coastal Areas of the Yangtze–Huaihe River in a Regional Business Forecast Model. Frontiers in Earth Science,  2022,  https://doi.org/10.3389/feart.2022.938336 

12. Huo W, Song M, Wu Y, Zhi X,Yang F,Ma M, Zhou C, Yang X, Mamtimin A, He Q. Relationships between Near-Surface Horizontal Dust Fluxes and Dust Depositions at the Centre and Edge of the Taklamakan Desert. Land, 2022, 11(7):959,   https://doi.org/10.3390/land11070959

13. Huo W, Yang F, Wu Y, Zhi X, Song M, Zhou C, Yang X, Mamtimin A, He Q, Wen C, Gao J, Meng L, Hu S. Influence of Topographic Relief on Sand Transport in the Near-Surface Layer During Dust Storms in the Taklimakan Desert. Frontiers in Environmental Science, 2022, 10:931529,  https://doi.org/10.3389/fenvs.2022.931529 

14. Pan M, Zhi X*, Liu Z, et al. Statistical calibrations to improve the 2–5-year prediction skill for SST over the North Atlantic. Meteorology and Atmospheric Physics, 2022, https://doi.org/10.1007/s00703-022-00888-4 .

15. Wang Y, Bai Y, Zhi X*, et al. Two Typical Patterns of Regional PM2.5 Transport for Heavy Air Pollution Over Central China: Rapid Transit Transport and Stationary Accumulation Transport. Frontiers in Environmental Science,  2022, 10:890514.       https://doi.org/10.3389/fenvs.2022.890514 

16. Qi H X, Ma S L, Chen J, Sun J P, Wang L L, Wang N, Wang W S, Zhi X, Yang H. Multi-model Evaluation and Bayesian Model Averaging in Quantitative Air Quality Forecasting in Central China. Aerosol and Air Quality Research, 2022,  https://doi.org/10.4209/aaqr.210247. 

17. Zhu D, Zhi X*, Sein Z M M, et al. Possible Relationships between the Interdecadal Anomalies of Heavy Rainfall under Northeastern China Cold Vortexes and the Sea Surface Temperature (SST). Atmosphere, 2022, 13(2), 354;  https://doi.org/10.3390/atmos13020354.

18. Zhi X*, Pan M, Song B, et al. Investigating air-sea interactions in the North Pacific on interannual timescales during boreal winter. Atmospheric Research, 2022, https://doi.org/10.1016/j.atmosres.2022.106043

19. Huo W, Yang F, Zhi X, et al. A Comparative Study on the Difference in Meteorological Monitoring between Constructed Green Land and Natural Sandy Land. Sustainability, 2022(14):1076, https://doi.org/10.3390/su14031076. 

20. Sein Z, Ullah I, Iyakaremye V, Azam K, Ma X, Syed S, Zhi X*.Observed spatiotemporal changes in air temperature, dew point temperature and relative humidity over Myanmar during 2001–2019. Meteorology and Atmospheric Physics, 2022,  https://doi.org/10.1007/s00703-021-00837-7.

21. Zhu D, Zhi X*, Wang N, et al. Impacts of Changbai Mountain Topography on the Extreme Precipitation From Super Typhoon Maysak. Frontiers in Environmental Science,  2022,   https://doi.org/10.3389/fenvs.2021.818402

22. 吴柏莹，智协飞，陈超辉，等，基于复卡尔曼滤波技术的华东区域风的多模式集成预报研究. 气象, 2022, 48(4):393-405.

23. 霍文，智协飞，杨帆，等. 塔克拉玛干沙漠人工绿地与自然沙地能量收支差异研究. 沙漠与绿洲气象, 2022, 16(3):1-9.  https://doi.org/10.12057/j.issn.1002-0799.2022.03.001

24. 智协飞，李佳，张玲.   双低空急流影响下华南初夏降水日变化的时空分布特征. 大气科学学报, 2022, 45(3):444-455. https://doi.org/10.13878/j.cnki.dqkxxb.20210119001 .

25. 王莹，智协飞，白永清，等. 长江中游地区PM2.5重污染过程的典型天气环流分型及区域传输影响. 环境科学, 2022,43(8):3913-3922. 

2021 (15)

1. Ge F, Zhu S P, Siemann F, Fraedrich K, Zhu X H, Zhang L, Zhi X, Wang H. Precipitation over Indochina during the monsoon transition: modulation by Indian Ocean and ENSO regimes. Climate Dynamics,  2021，https://doi.org/10.1007/s00382-021-05817-6. 

2. Zhang J, Feng J, Li H, Zhu Y J, Zhi X, Zhang F. Unified ensemble mean forecasting of tropical cyclones based on the feature-oriented mean method. Weather and Forecasting, 2021,  https://doi.org/10.1175/WAF-D-21-0062.1

3. Sein Z M M, Zhi X, Ulla I, et al. Recent variability of sub‐seasonal monsoon precipitation and its potential drivers in Myanmar using in‐situ observation during 1981‐2020. International Journal of Climatology, 2021, https://doi.org/10.1002/joc.7419 

4. Bai Y, Wang Y., Kong S, Zhao T, Zhi X, Huang Z, Sun X,  Hu W, Zhou Y, Xiong J. Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan, China during the COVID-19 lockdown. Advances in Climate Change Research, https://doi.org/10.1016/j.accre.2021.09.013 

5. Sein Z M M, Zhi X*, Ogou F K, et al. Spatio-Temporal Analysis of Drought VariabilityDOI: 10.1002/joc.7419 in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production. Agronomy, 2021,   https://doi.org/10.3390/agronomy11091691

6. Dong F, Zhi X*, Zhang L, et al. Diurnal Variations of Coastal Boundary Layer Jets over the Northern South China Sea and Their Impacts on Diurnal Cycle of Rainfall over Southern China during the Early-summer Rainy Season. Monthly Weather Review, 2021, https://doi.org/10.1175/MWR-D-20-0292.1

7. Lyu Y, Zhi X*,  Zhu S, et al. Statistical Calibrations of Surface Air Temperature Forecasts over East Asia using Pattern Projection Methods. Weather and Forecasting, 2021, https://doi.org/10.1175/WAF-D-21-0043.1

8. Qi H, Zhi X*, Peng T, et al. Using stratified Bayesian model averaging in probabilistic forecasts of precipitation over the middle and lower Yangtze River region. Meteorology and Atmospheric Physics, 2021,  https://doi.org/10.1007/s00703-021-00799-w

9. Xu J W, Koldunov N, Xu M, Zhu X, Freadrich K, Jiang X, Zhu S, Zhi X. Impacts of Indian Ocean Dipole–Like SST on Rice Yield Anomalies in Jiangsu Province. Frontiers in Earth Science, 2021, 8:568365. https://doi.org/10.3389/feart.2020.568365

10. Sein Z M M, Ulla I, Saleem F, Zhi X*, Syed S, Azam K. Interdecadal Variability in Myanmar Rainfall in the Monsoon Season (May–October) Using Eigen Methods. Water, 2021, 13(5):729, https://doi.org/10.3390/w13050729

11. Sein Z M M, Ulla I, Syed S, Zhi X*, Azam K, Rasool G.  Interannual Variability of Air Temperature over Myanmar: The Influence of ENSO and IOD. Climate, 2021, 9(2):35, https://doi.org/10.3390/cli9020035

12. Ji L, Luo Q, Ji Y, Zhi X*. Probabilistic Forecasting of the 500 hPa Geopotential Height over the Northern Hemisphere Using TIGGE Multi-model Ensemble Forecasts. Atmosphere, 2021, 12(2):253- https://doi.org/10.3390/atmos12020253

13. Zhu S, Zhi X*, Ge F, et al. Subseasonal Forecast of Surface Air Temperature Using Superensemble Approaches: Experiments over Northeast Asia for 2018. Weather and Forecasting, 2021, 36:39–51. https://doi.org/10.1175/WAF-D-20-0096.1

14. Ge F, Zhu S, Luo H, Zhi X, Wang H. Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble. Environmental Research Letters, 2021, 16(2):024013.   https://doi.org/10.1088/1748-9326/abd7ad 

15. 智协飞，张珂珺，田烨，季焱. 基于神经网络和地理信息的华东及华南地区降水概率预报. 大气科学学报. 2021, 44(3):381-393.

2020 (13)

1.Zhu S P, Ge F, Fan Y, Zhi X*. Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming. Climatic Change, 2020, https://doi.org/10.1007/s10584-019-02640-1

2.Zhu S P, Remedio A RC,...,Zhi X*. Added value of the regionally coupled model ROM in the East Asian summer monsoon modeling. Theoretical and Applied Climatology, 2020,  https://doi.org/10.1007/s00704-020-03093-8

3.Xia Y, Chen J, Zhi X*, et al., Impact of Model Bias Correction on a Hybrid Data Assimilation System. Journal of Meteorological Research, 2020，34(2):1-13. doi: 10.1007/s13351-020-9088-8

4.Ji L Y,  Zhi X*, Simmer C, Zhu S P, Ji Y. Multi-Model Ensemble Forecast of Precipitation Based on an Object-Based Diagnostic Evaluation. Monthly Weather Review, 2020, 148 (6): 2591–2606. https://doi.org/10.1175/MWR-D-19-0266.1 

5.Zhu S P, Ge F, Sielmann F, Pan M T, Fraedrich K, Remedio A R C, Dmitry V. Sein D V, Jacob D, Wang H, Zhi X*. Seasonal temperature response over the Indochina Peninsula to a worst-case high-emission forcing: a study with the regionally coupled model ROM. Theoretical and Applied Climatology, 2020, https://doi.org/10.1007/s00704-020-03345-7 

6.Peng T, Zhi X*, Ji Y, Ji L Y, Tian Y. Prediction Skill of Extended Range 2-m Maximum Air Temperature Probabilistic Forecasts Using Machine Learning Post-Processing Methods. Atmosphere, 2020, 11(8), 823; https://doi.org/10.3390/atmos11080823  

7.Ge F, Zhu S P, Luo H L, Zhi X,  Wang H. Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble. Environmental Research Letters, 2020, https://doi.org/10.1088/1748-9326/abd7ad 

8.智协飞，赵忱．基于集合成员订正的强降水多模式集成预报．应用气象学报，2020, 31(3):303-314.

9.张宇星，智协飞，李凤秀. 基于 MCI 的河南干旱时空变化特征分析. 科学技术与工程, 2020, 20(9):3420-3426.

10.智协飞，王田，季焱. 基于深度学习的中国地面气温的多模式集成预报研究. 大气科学学报. 2020, 43(3):435-446.

11.夏旻慧，智协飞. ECMWF 业务预报模式地面气温预报的不一致性特征研究. 大气科学学报. 2020, 43(4):652-662.

12.张海鹏，智协飞，吉璐莹．中国区域降水偏差订正的初步研究．气象科学, 2020, 40(4):467-474.

13.智协飞, 董甫, 张玲, 吉璐莹, 朱寿鹏. 基于不同微物理过程的广西沿海南风型暖区暴雨的数值模拟研究.  大气科学学报.2020, 43(5):867-879.

2019 (17)

1.Qi H X, Zhi X F, Peng T, Bai Y Q, Lin C Z. Comparative Study on Probabilistic Forecasts of Heavy Rainfall in Mountainous Areas of the Wujiang River Basin in China Based on TIGGE Data. Atmosphere, 2019, 10, 608; https://doi.org/10.3390/atmos10100608.    

2.Zhi X F*, Tian X, Liu P, Hu Y X. Interdecadal variations in winter extratropical anticyclones in East Asia and their impacts on the decadal mode of East Asian surface air temperature. Meteorology and Atmospheric Physics，https://doi.org/10.1007/s00703-019-00684-7. 

3.Xia Y, Chen J, Du J, Zhi X F, Wang J Z, Li X L. A unified scheme of stochastic physics and bias correction in an ensemble model to reduce both random and systematic errors. Weather and Forecasting, https://doi.org/10.1175/WAF-D-19-0032.1. 

4.Hou M Y, Duan W S, Zhi  X F*. Season-dependent predictability barrier for two types of El Niño revealed by an approach to data analysis for predictability. Climate Dynamics, https://doi.org/10.1007/s00382-019-04888-w   

5.Song B, Zhi X F*, Pan M T, Hou M Y, He C F, Fraedrich K. Turbulent heat flux reconstruction in the North Pacific from 1921 to 2014. J Meteor Soc Japan, 97, https://doi.org/10.2151/jmsj.2019-050

6.Zhi X F*, Yang H, Xu S W, Wang X C, Pan M T. A comparative analysis of atmospheric and oceanic conditions before the occurrence of two types of El Niño events. Journal of Tropical Meteorology ,25(1):34-44. https://doi.org/10.16555/j.1006-8775.2019.01.004 

7.Xia Y, Chen J, Zhi X F, et al. Topography-dependent horizontal localization scale scheme in  GRAPES-MESO hybrid EN-3DVAR assimilation system. Journal of Tropical Meteorology, 25(2): 245-256. https://doi.org/10.16555/j.1006-8775.2019.02.010. 

8.Ji L Y, Zhi X F*, Zhu S P, Fraedrich K. Probabilistic Precipitation Forecasting over East Asia Using Bayesian Model Averaging. Weather and Forecasting,  https://doi.org/10.1175/WAF-D-18-0093.1      

9.Ge F, Zhu S P, Peng T, Zhao Y, Sielmann F, Fraedrich K, Zhi X F, Liu X R, Tang W W, Ji L Y. Risks of precipitation extremes over Southeast Asia: does 1.5 °C or 2 °C global warming make a difference? Environmental Research Letters, https://doi.org/10.1088/1748-9326/aaff7e. 

13.智协飞,陈 静,张 玲,等. 集合预报和多模式集成预报技术应用. 中国科技成果. 2019, 7:72-75, https://doi.org/10.3772/j.issn.1009-5659.2019.07.031 

14.智协飞，黄闻. 基于卡尔曼滤波的中国区域气温和降水的多模式集成预报. 大气科学学报. 2019, 42(2):197-206.

15.霍文, 胡顺起, 智协飞, 等. 人工绿地与自然沙地蒸散发的计算与变异研究.气象学报, 2019, https://doi.org/10.11676/qxxb2019.047 

16.彭婷, 智协飞, 董颜, 王玉虹, 季焱. 基于贝叶斯模式平均方法的东亚地区地面2m气温预报改进. 中国科技论文，14（5）：575-581.

17.徐经纬，智协飞，徐敏. 近47年德语区大气科学学科研究方向的变化特征. 科技导报. 2019，14：78-85.

2018 (11)

1. Xu J W, Koldunov N，Remedio A R C，Sein D V，Rechid D, Zhi X F, Jiang X, Xu M, Zhu X H, Fraedrich K, Jacob D. Downstream effect of Hengduan Mountains on East China in the REMO regional climate model. Theoretical and Applied Climatology，2018，https://doi.org/10.1007/s00704-018-2721-0.

2. Ge F, Peng T, Fraedrich K, Sielmann F, Zhu X H, Zhi X F, Liu X R,Tang WW, Zhao P G.  Assessment of trends and variability in surface air temperature on multiple high-resolution datasets over the Indochina Peninsula. Theoretical and Applied Climatology, 2018, https://doi.org/10.1007/s00704-018-2457-x.

3. Xu J W, Koldunov N, Remedio AR C, Sein D V, Zhi X F, Jiang X, Xu M, Zhu X H, Fraedrich K, Jacob D. On the role of horizontal resolution over the Tibetan Plateau in the REMO regional climate model. Climate Dynamics, 2018, https://doi.org/10.1007/s00382-018-4085-7.

4. 王姝苏，智协飞，俞剑蔚，等. 降水的统计降尺度预报及其空间相关性和时间连续性重建. 大气科学学报，2018, 41(1)：36-45.

5. 马勋丹，智协飞，王静，等. 1979—2016年夏季西南涡活动及其与降水的关系. 大气科学学报，2018, 41(2)：198-206.

6. 马申佳，陈超辉，智协飞，等. 基于时空不确定性的对流尺度集合预报效果评估检验. 气象学报，2018, 76，doi: 10.11676/qxxb2018.022.

7. 陈艳蝶，智协飞，王姝苏，张玲. 一个台风降水预报的分级回归统计降尺度应用研究. 科技通报，2018, 34（5）:52-58.

8. 智协飞，胡耀兴，俞剑蔚，等. 基于TIGGE资料的东亚地面气温预报的不一致性研究. 大气科学学报，2018, 41（3）: 298-307.

9. 陈超辉，刘梅，智协飞，等. 基于BGM框架的短期集合预报扰动典型规律研究. 大气科学学报，2018, 41（4）：483-493.

10. 张立鹏，智协飞，王佳，王玉虹. 云顶高度和温度预报多方案集成对比检验与集成. 气象科技，2018, 46（6）：1136-1146.

11. 梅钦, 智协飞, 王佳. WRF模式不同云参数化方案的暴雨预报能力检验及集成试验.  大气科学学报，2018, 41(6):731-742. 

2017 (14)

1. Ge F, Sielmann F, Zhu X, Fraedrich K, Zhi X F, Peng T, Wang L. The link between Tibetan Plateau monsoon and Indian summer precipitation: a linear diagnostic perspective. Climate Dynamics, 2017, DO1 10.1007/s00382-017-3585-1

2. Huo W, He Q, Yang E, . . .., Zhi X F*. Observed particle sizes and fluxes of Aeolian sediment in the near surface layer during sand-dust storms in the Taklamakan Desert. Theoretical and Applied Climatology, 2017, DOI 10.1007/s00704-016-1917-4

3. 智协飞，田笑，朱丹，等.冬季蒙古反气旋和伊朗反气旋的年代际变化特征.大气科学,2017，41(5)，doi:10.3878/j.issn.1006-9895.1701.16255.

4. 田笑,智协飞.北半球冬季温带反气旋活动的统计特征.气候与环境研究,2017，22(3):322-334.

5. 宋斌,智协飞,潘梦婷,等.北太平洋冬季年代际尺度海气相互作用.气象科学,2017,37(2):272-277.

6. 强玉华,智协飞,姜燕敏.丽水低温霜冻的气候变化特征及其对春茶始采日的影响.河南农业科学,2017,(02):33-37.

7. 陈笑晨,智协飞,赵欢,等.澳大利亚冷空气活动对西北太平洋热带气旋生成的影响.大气科学学报,2017,(01):61-70.

8. 张涵斌,智协飞,陈静,等.区域集合预报扰动方法研究进展综述.大气科学学报，2017,40(2):145-157.

9. 史湘军，朱寿鹏，智协飞，等.三套冰晶核化参数化方案的对比分析.大气科学学报，2017,40(2):181-192.

10. 吉璐莹,智协飞,朱寿鹏.东亚地区冬季地面气温延伸期概率预报研究.大气科学学报,2017,40(3):346-355.

11. 冯慧敏，智协飞，李荣.郑州市地面风场的统计降尺度预报研究.中国科技论文，12(15):1785-1791.

12. 智协飞,周红梅,王姝苏,等.CMIP5多模式对东亚地区地面气温年际变率的回报研究.大气科学学报,2017,40(4):529-540.

13. 张玲，智协飞，伍清.青藏高原大地形对南海冷涌事件影响的数值模拟.大气科学学报,2017,40(5):587-595.

14. 任晨辰，段明铿，智协飞.不同气候背景下我国冬夏两季极端气温特征分析.大气科学学报，2017,40(6):803-813.

2016 (17)

1. Ge F, Zhi X F, Babar Z A, et al. Interannual variability of summer monsoon precipitation over the Indochina Peninsula in association with ENSO. Theoretical and Applied Climatology, 2016, DOI:10.1007/s00704-015-1729-y.

2. Zhang L, Sielmann F, Fraedrich K, Zhi X F. Atmospheric response to Indian Ocean Dipole forcing: changes of Southeast China winter precipitation under global warming. Climate Dynamics, 2016, DO1 10.1007/s00382-016-3152-1.

3. Scin Z M M, Zhi X F*. Interannual variability of summer monsoon rainfall over Myanmar. Arabian Journal of Geosciences, 2016, 9:DOI:10.1007/s12517-016-2502-y.

4. Babar Z A, Zhi X F*, Ge F, et al. Assessment of Southwest Asia Surface Temperature Changes: CMIP5 20th and 21st Century Simulations. Pakistan Journal of Meteorology, 2016, 13(25):1-15.

5. 强玉华,智协飞, 杨磊.浙西南冰雹天气雷电及大气电场活动规律研究.科技通报,2016,(12):21-26+46.

6. 冯慧敏,智协飞,崔慧慧,等.基于多模式集成技术的地面气温精细化预报.气象与环境科学,2016,(04):73-79.

7. 王玉虹, 智协飞, 朱寿鹏,等.气候变暖前后我国热度日和冷度日的特征分析.气象科技,2016,(06):956-964.

8. 田笑,智协飞.欧亚冬季温带反气旋活动的气候特征.气象学报,2016,(06):850-859.

9. 徐淑雯,智协飞,王晓春.两类E1Nino发生前期大气海洋状况的对比分析.热带气象学报,2016,(05):1-10.

10. 孟鑫,智协飞.东北地区夏季干旱的年际一年代际变化特征.大气科学学报,2016,(04):562-568.

11. 陈龙,智协飞,覃军,等.影响武汉市空气污染的地面环流形势及其与污染物浓度的关系.气象,2016,(07):819-826.

12. 智协飞,王姝苏,周红梅,等.我国地面降水的分级回归统计降尺度预报研究.大气科学学报,2016,(03):329-338.

13. 胡航菲,智协飞,郭换换,等.基于CMIP5资料的东亚夏季环流的BMA预测研究.气象科学,2016,(03):340-348.

14. 崔文君,智协飞,朱寿鹏,等.一次长江流域梅雨降水中三种云量计算方案的对比研究.大气科学学报,2016,(02):209-220.

15. 郭换换,智协飞,段明铿,等.数值天气预报中的不一致性问题综述.气象科学，2016,36(1):134-140

16. 郭换换,段明铿,智协飞,等.基于TIGGE资料的预报跳跃性特征.应用气象学报,2016,(02):220-229.

17. 智协飞,赵欢,朱寿鹏,等.基于CMIP5多模式回报资料的地面气温超级集合研究.大气科学学报,2016,(01):64-71.

2015 (19)

1. He C F, Zhi X F*, You Q L, et al. Multi-model ensemble forecasts of tropical cyclones in 2010 and 2011 based on the Kalman Filter method. Meteorology and Atmospheric Physics. 2015, 127(4):467-479, DO1:10.1007/s00703-015-0377-1.

2. Babar Z A, Zhi X F, Ge F. Precipitation assessment o Indran summer monsoon based on CMIP5 climate simulations. Arabian Journal of Geosciences, 2015, 8: 4379-4392， DO1: 10.1007/s12517-014-1518-4.

3. Zhang L, Zhi X F. Multimodel consensus forecasting of low temperature and icy weather over central and southern China in early 2008. Journal of Tropical Meteorology, 2015, 21(1): 67-75.

4. Zhang J, Duan W S, Zhi X F. Using CMIP5 model outputs to investigate the initial errors that cause the “spring predictability barrier" for E1 Nino events. Sci. China Earth Sci.,2015, 58:685-696, DO1:10.1007/s11430-014-4994-1.

5. Zhang H B, Chen J, Zhi X F, et al.  A Comparison of ETKF and Downscaling in a Regional Ensemble Prediction System. Atmosphere, 2015,6(3),341-360, DOI: 10.3390/atmos6030341

6. Zhang H B, Chen J, Zhi X F, et al. Study on multi-scale blending initial condition perturbations for a regional ensemble prediction system. Advances in Atmospheric Sciences, 2015, 32(8):1143-1155. DOI: 10.1007/s00376-015-4232-6.

7. Zhang L, Sielmann F, Fraedrich K, Zhu X H, Zhi X F. Variability of winter extreme precipitation in Southeast China: contributions of SST anomalies. Climate Dynamics, 2015, DOI: 10.1007/s00382-015-2492-6.

8. Zhang H B, Zhi X F*, Chen J, et al. Study of the modification of multi-model ensemble schemes for tropical cyclone forecasts. Journal of Tropical Meteorology, 2015, 21(4):389-399.

9. Ge F, Babar Z A, Guo S L, Chen Y, Zhi X F, Tang W W. Atmospheric energy conversion characteristics of heavy rainfall in Sindh during the 2011 monsoon. Atmosfera, 2015, 28(4):231-241

10. 智协飞，张璟，段晚锁. ENSO预测的目标观测敏感区在热带太平洋海温的多模式集合预报中的应用.大气科学, 2015,39(4):767-776,doi:10.3878/j.issn.1006-9895.1408.14181.

11. 宋斌，智协飞，胡耀兴. 全球变暖停滞的形成机制研究进展. 大气科学学报, 2015, 38(2):145-154.

12. 毕潇潇，智协飞，林春泽. 基于TIGGE资料的集合成员优选方法. 大气科学学报, 2015, 38(3):414-420.

13. 卞赟，智协飞，李佰平. 多模式集成方法对延伸期降水预报的改进.中国科技论文，2015，10(15):1813-1817.

14. 智协飞，王晶，林春泽，等. CMIP5多模式资料中气温的BMA预测方法研究.气象科学2015,35(4):405-412.

15. 王海霞，智协飞. 基于TIGGE多模式降水量预报的统计降尺度研究.气象科学, 2015, 35(4):430-437.

16. 张涵斌，智协飞，王亚男，等. 基于TIGGE资料的西太平洋热带气旋多模式集成预报方法比较.气象,2015, 41(9):1058-1067.

17. 智协飞,孙晶,周文友.2009年夏季西太平洋台风的集合预报和多模式集成预报试验.大气科学学报,2015，38(5):633-640.

18. 智协飞，朱寿鹏，孙晶，等，2015.基于BGM与ETKF的台风“苏拉”(1209)集合预报对比试验1:路径预报.大气科学学报，2015，38(6):776-784.

19. 张玲,智协飞,刘尔宁.浅谈中德大气科学专业本科教育的异同.科技展望,2015,(26):199-200.

2014 (11)

1. Zhang L, Fraedrich K, Zhu X H, Sielmann F, Zhi X F. Interannual variability of winter precipitation in Southeast China. Theoretical and Applied Climatology, 2014, DOI: 10.1007/s00704-014-1111-5.

2. Zhang L, Zhu X H, Fraedrich K, Sielmann F, Zhi X F. Interdecadal variability of winter precipitation in Southeast China. Climate Dynamics, 2014, DOI: 10.1007/s00382-014-2048-1.

3. Ge F, Babar Z A, Guo S L, Zhi X F, Chen Y, Tang W W. Heavy rainfall in Pakistan during 27-29 July 2010: Role of atmospheric energy conversion characteristics. Mausam, 2014, 65(1):57-66.

4. 智协飞,李刚,彭婷. 基于贝叶斯理论的单站地面气温的概率预报研究. 大气科学学报, 2014, 37(6):740-748.

5. 智协飞，彭婷，李刚，等. 多模式集成的概率天气预报和气候预测研究进展. 大气科学学报，2014, 37(2):248-256.

6. 张玲，智协飞.南海北部冷涌及其环流特征.大气科学学报，2014，37(1):28-37.

7. 赵树云，智协飞，张华，等.气溶胶-气候耦合模式系统BCC_AGCM2.0.1_CAM气候态模拟的初步评估.气候与环境研究，2014，19(3):265-277.

8. 陈晓龙,智协飞.基于TIGGE资料的北半球地面气温预报的统计降尺度研究.大气科学学报,2014,37(3):268~275.

9. 张璟,智协飞,缪凯,等.江淮流域夏季降水中的准两年周期振荡.大气科学学报,2014,37(5):541-547.

10. 张涵斌,陈静,智协飞, 等.基于GRAPES_Meso的集合预报扰动方案设计与比较.大气科学学报,2014,37(3):276-284.

11. 张涵斌,陈静,智协飞,等.GRAPES区域集合预报系统应用研究.气象，2014，40(9):1076-1087.

2013 (9)

1. Wang J, Zhi X F*, Chen Y W. Probabilistic multimodel ensemble prediction of decadal variability of East Asian surface air temperature based on IPCC-AR5 near-term climate simulations. Advances in Atmospheric Sciences, 2013, 30(4), 1129-1142.

2. Mannig B, Miller M, Starke, E, Merkenschlager C, Mao W Y, Zhi X F, Podzune R, Jacob D, Paeth H. Dynamical downscaling of climate change in Central Asia. Global and Planetary Change, 2013, 110, Part A, pp. 26-39. DOI:10.1016/j.gloplacha.2013.05.008.

3. 智协飞,季晓东,张璟，张玲,白永清,林春泽.基于TIGGE资料的地面气温和降水的多模式集成预报.大气科学学报，2013,36(3): 257-266.

4. 张玲,智协飞.2008年初中国南方冰冻雨雪天气的多模式集成预报.热带气象学报,2013，29(3):393-402.

5. 陈雯，智协飞, 杨浩, 等.冬季中国地面气温的变化与前期北半球高层环流异常的联系.热带气象学报,2013, 29(3):497-504.

6. 崔慧慧，智协飞. 基于TIGGE资料的地面气温延伸期多模式集成预报.大气科学学报，2013，36(2):165-173.

7. 陈凯，钱步东，智协飞，等. 加拿大主要农田作物临界气象指标.大气科学学报，2013，36(4):385-398.

8. 田笑，智协飞，徐海明. NCEP和JRA再分析资料与探空资料的位势高度比较分析.干旱气象，2013，31(2):254-262.

9. 林春泽，祁海霞，智协飞，白永清，刘琳.中国夏季降水多模式集成概率预报研究.暴雨灾害,2013，32(4):354-359.

2012 (6)

1. Zhi X F*, Qi H X, Bai Y Q, et al. A comparison of three kinds of multimodel ensemble forecast techniques based on the TIGGE data. Journal of Meteorological Research, 2012, 26(1),41-51.

2. 李佰平，智协飞.ECMWF模式地面气温预报的四种误差订正方法的比较研究.气象，2012，38(8):897-902.

3. 王亚男，智协飞.多模式降水集合预报的统计降尺度研究.暴雨灾害，2012，31(1):1-6.

4. 周文友，智协飞. 2009年夏季西太平洋台风路径和强度的多模式集成预报. 气象科学, 2012, 32(5):492-499.

5. 王佳，智协飞，陈钰文，白卡娃.2010年6月18日苏北一次强降雹过程及其催化数值模拟.气象科学，2012，32(5):526-533

6. 王佳,智协飞,陈钰文,等. 雷暴云的集合预报技术及其应用. 大气科学学报，2012，5(4):458-465.

2011 (2)

1. Yang H, Zhi X F*, Gao J, et al. Variation of East Asian summer monsoon and its relationship with precipitation of China in recent 111 years. Agricultural Science and Technology, 2011, 12(11):1711-1716.

2. 祁海霞,智协飞,白永清. 中国干旱发生频率的年代际变化特征及趋势分析. 大气科学学报，2011，34(4):447-455.

2010 (7)

1. Zhi X F*, Zhang L, Pan J L. An analysis of the winter extreme precipitation events on the background of climate warming in southern China. Journal of Tropical Meteorology, 2010, 16(4):325-332.

2. 智协飞，伍清，白永清，祁海霞.基于IPCC AR4模式资料的地面气温超级集合预测.气象科学，2010,30(5):708-714.

3. 智协飞，陈雯.THORPEX国际科学研究新进展.大气科学学报,2010,33(4):504-511.

4. 智协飞，高洁，张小玲.多普勒雷达资料在中尺度模式短时预报中的应用. 气象科学，2010,30(2):143-150.-

5. 王佳，智协飞，白卡娃, 等. 一次人工消雨试验数值模拟及物理过程分析. 大气科学学报, 2010, 33(4):460-468.

6. 张玲，智协飞. 南亚高压和西太副高位置与中国盛夏降水异常. 气象科学，2010, 30(4):438-444。

7. 白永清，智协飞，祁海霞，张玲.基于多尺度SPI的我国南方大旱监测. 气象科学，2010, 30(3):292-300.

2009 年及以前的论文 (24)

1. Wang Y, Zhi X F. An evaluation system for the online training programs in meteorology and hydrology. International Education Studies, 2009, 2(4):45-48

2. 林春泽，智协飞，韩艳，等. 基于TIGGE资料的地面气温多模式超级集合预报. 应用气象学报, 2009, 20(6):706-712.

3. 祁秀香，智协飞. 0601号登陆台风及暴雨减弱消亡过程中的动能收支分析. 大气科学学报，2009, 32(6):824-831.

4. 智协飞，张玲. AOGS第六届学术年会气象学研究报告综述. 大气科学学报, 2009, 32(5):716-722.

5. 智协飞，林春泽，白永清，等.北半球中纬度地区地面气温的超级集合预报. 气象科学, 2009, 32(5):569-574.

6. 郭锐，智协飞. 中国南方旱涝时空分布特征分析. 气象科学，2009，32(5):598-605.

7. Chen W, Zhi X F. Comparisons of the Pacific Subtropical High and the South Asian High between NCEP/NCAR and ECMWF reanalysis datasets, Journal of Tropical Meteorology, 2008, 14(2): 121-124.

8. 郭锐，智协飞. 2003年夏季我国南方大旱天气学背景分析. 南京气象学院学报，2008, 31(2):234-241.

9. 智协飞.气象水文灾害的防灾减灾教育培训新进展.南京气象学院学报, 2007, 30(6):885-889.

10. 史湘军，智协飞. 1950-2004年欧亚大陆阻塞高压活动的统计特征. 南京气象学院学报, 2007，30(3):338-344.

11. 智协飞，唐卫亚.异常天气及其对策.科学画报,2005,(8):1-6.

12. 智协飞，周文峰.天气气候对经济的影响.科学画报，2004,(8):1-7.

13. 蔡尔诚，许春姝，智协飞.东亚夏季气候可预报性的一个论证，黑龙江八一农垦大学学报，2002，14(3):5-8.

14. Zhi X F*, Chen X H, Tian H. TBB-revealed annual cycle features of tropical LFO, Journal of Meteorological Research, 1997, 4: 460-468.

15. 智协飞，何金海.北半球中高纬度大气低频变化的若千基本特征.南京气象学院学报,1996,19(1):76-81.

16. 智协飞.GPCP全球逐月降水量资料Version001介绍.南京气象学院学报,1996,19(1):146-148.

17. 智协飞,朱乾根,陈旭红，何卓玛.北半球平流层低层大气季节内振荡特征.应用气象学报,1995,6(4):492-495.

18. 何金海，智协飞，Nakazawa T. 中国东部地区降水季内变化的季节锁相. 热带气象学报, 1995, 11(4):370-374.

19. 智协飞. 北半球夏季风区大气视热源和视水汽汇的低频振荡.南京气象学院学报，1994，17(1):44-50.

20. 朱乾根,智协飞. 北半球冬季中高纬30-60天振荡动能源、汇的特征.南京气象学院学报,1994,17(3):284-290.

21. 智协飞. 低频涡动、高频涡动在阻塞过程中的作用.南京气象学院学报, 1993, 16(2):186-192.

22. Zhu Q G, Zhi X F*. Quasi-biennial oscillation in rainfall over China, Journal of Meteorological Research, 1991, 5(4):426-434.

23. Zhu Q G, Zhi X F*, Lei Z C. Low frequency summer monsoon in Indonesia-northern Australia and its relation to circulations in both hemispheres. Journal of Meteorological Research, 1990, 4: 545-553.

24. Zhu Q G, Zhi X F*, 1988. Maintenance and oscillation mechanisms of summer tropical upper-troposphere easterlies, Advances in Atmospheric Sciences, 1988, 5(2): 127-139.

国际会议论文 (44)

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1. Fu K, Ding S, Zhang L, Pan M, Zhi X, Zhang J. Deep Learning for Daily 10-m Wind Downscaling. Proceedings of 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII), 12-14 June 2024, https://doi.org/10.1109/ICMIII62623.2024.00034

2. Zhi X*, Cui B, Ji Y. On the Prediction of Water  Level in the Urban Waterlogging Area Using Deep Learning Approach. Abstracts  of 20th Annual Meeting, 31 July to 4 August  2023, Singapore. 

3. Lyu Y,  Zhi X, Ji Y. Subseasonal Forecasts of Precipitation Over Maritime Continent  in Boreal Summer and the Sources of Predictability. Abstracts of 20th Annual  Meeting, 31 July to 4 August 2023, Singapore.

4. Zhi X*,  Cui B, Ji Y, et al. Prediction of water level in urban waterlogging area  based on deep learning approach. 2022, 2022 IEEE International Conference on  Advances in Electrical Engineering and Computer Applications (AEECA),       https://doi.org/10.1109/AEECA55500.2022.9919102 

5. Lyu Y,  Zhi X, Zhu S P. Precipitation forecast over China for different thresholds  using the multimodel bias-removed ensemble mean. IOP Conference Series Earth  and Environmental Science, 675(1):012053.  https://doi.org/10.1088/1755-1315/675/1/012053 

6. Xie Y,  Zhi X*. Impact of COVID-19 Lockdown and Atmospheric Circulation on the Air  Quality in Wuhan During Early 2020. 4th Annual International Conference on  Energy Development and Environmental Protection (EDEP 2021). E3S Web of  Conferences 299, 02011 (2021).https://doi.org/10.1051/e3sconf/202129902011 

7. Dong F,  Zhang L, Chen W D, Li D X, Wang J, Zhi X*. Role of Boundary Layer Jet in the  Occurrence and Development of Warm-sector Heavy Rainfall over South China: a  Case Study. IOP Conference Series Earth and Environmental Science 603:012023.  https://doi.org/10.1088/1755-1315/603/1/012023  .  

8. Ge F,  Zhu SP, Sielmann F, Fraedrich K, Zhi X F. Projected changes of precipitation  extremes over Southeast Asia under 1.5 and 2 degrees global warming. EGU2019  - Demonstrating the value of and opportunities for climate change adaptation  and mitigation. 

9. Zhu S P,  Ge F, Sein D V, Remedio A R, Sielmann F, Fraedrich K, Zhi X F. Projected  changes in surface air temperature over the Indochina Peninsula from the  regionally coupled model ROM. EGU2019 - Regional climate modeling, including  CORDEX. 

10. Chen W  D, Li G X,  Ding H, Qian J, Zhou W Y, Zhi X F. Short-term Forecasts of  TC Tracks over the Western Pacific Using the Multimodel Ensemble Approach.  2nd International Conference on Modeling, Simulation and Optimization  Technologies and Applications (MSOTA2018),   https://doi.org/10.12783/dtcse/msota2018/27596   

11. Cheng X,  Chen W D, Zhi X F, Wang S S. Statistical Downscaling Precipitation Forecast  for Hydropower Industry and Its Calibration Using Frequency Matching  Method.2018 3rd International Conference on Computational Modeling,  Simulation and Applied Mathematics (CMSAM 2018), DOI: 10.12783/dtcse/  cmsam2018/26548. 

12. Zhang H  P, Zhi X F*. Calibration of Extended-range Precipitation Forecasting Over  China. 2018 5th International Conference on Systems and Informatics (ICSAI),  DOI: 10.1109/ICSAI.2018.8599298.

13.  Zhi X  F*, Ji L Y. BMA probabilistic forecasting of the 500hPa geopotential height  over Northern Hemisphere using TIGGE multimodel ensemble forecasts.  MATHEMATICAL METHODS AND COMPUTATIONAL TECHNIQUES IN SCIENCE AND ENGINEERING  II, AIP Conference Proceedings 1982(1):020019, DOI: 10.1063/1.5045425. 

14. Ji L Y,  Zhi X F*, Zhu S P. Probabilistic Forecasts of 1-15-day 500 hPa Geopotential  Height over Northern Hemisphere based on Bayesian Model Averaging. European  Geosciences Union General Assembly 2018 (EGU2018) , Vienna, Austria. 

15. Zhu S P,  Remedio A R, Sein D V......, Zhi X F. Added value of the regionally coupled  climate modeling system over an East Asian summer monsoon area. Conference:  European Geosciences Union General Assembly 2018 (EGU2018), Vienna, Austria. 

16. Ji L Y,  Zhi X F*. Extended-range Probabilistic 500hPa Geopotential Height Forecasting  over Northern Hemisphere Using Bayesian Model Averaging. 2017 International  Conference on Mathematics, Modelling and Simulation Technologies and  Applications (MMSTA 2017), DOI: 10.12783/dtcse/ mmsta2017/19615. 

17. Pan M T,  Zhi X F*, Hou M Y, Ji L Y. Multimodel Superensemble Decadal Hindcasts of the  Surface Air Temperature Over East Asia.2017 International Conference on  Mathematics, Modelling and Simulation Technologies and Applications (MMSTA  2017), DOI: 10.12783/dtcse/mmsta2017/19687. 

18. Zhang J,  Duan W S, Zhi X F. Investigation of the initial errors that cause “spring  predictability barrier’ for El Nino events by using CMIP5 model outputs.2014,  16, EGU2014-1271-2.

19.  Zhi X  F*, Yang H, Zhang L, et al. International Meteorological and Hydrological  Training and Its Evaluation at WMO RTC Nanjing. Procedia Environmental  Sciences, 2012, 12:1122-1128.

20.  Zhi X  F*, Zhu H, Yu Y Q. Statistical features of strong wind over the Bohai and  Yellow Sea and its multimodel ensemble prediction during boreal summer. 2012  IEEE fifth International Conference on Advanced Computational Intelligence  (ICACD).2012,776-780. 

21. Babar Z  A, Zhi X F*, Zhang L, et al. Determination of precipitation return values in  connection to severe rainfall event of 2010 in Pakistan. 2012 IEEE fifth  International Conference on Advanced Computational Intelligence (ICACD),2012,  840-844.

22. Zhi X  F*, Zhang L, Bai Y Q. Application of the Multi-model Ensemble Forecast in the  QPF. Proceedings of International Conference on Information Science and  Technology, 657-660. March 26-28, 2011, Nanjing, China. 

23. Zhi X  F*, Zhou W Y, Xu Z C. Multi-model ensemble forecasts of the TC tracks over  the western Pacific using the TIGGE dataset. 2011 3rd International  Conference on Information Science and Engineering (ICISE). September 29 -  October 1, 2011, Yangzhou,4173-4176. 

24. Chen W,  Zhi X F*, The Regional and Seasonal Variability of LFO Period. 2011 3rd  International Conference on Information Science and Engineering (ICISE).  September 29 -October 1,2011, Yangzhou,，2011, 4440-4444.

25.  Chen W,  Zhi X F*, Yang H, et al. The seasonality and locality of low frequency  oscillation by wavelet analysis. Proceedings of International Conference on  Information Science and Technology, 631-635. March 26-28, 2011, Nanjing,  China. 

26. Zhang L,  Zhi X F, Yang H. The Relationship between the cold surge over the NSCS &  the ENSO events. Proceedings of International Conference on Information  Science and Technology, 126-131. March 26-28, 2011, Nanjing, China.

27.  Zhi X  F*, Zhang L, Bai Y Q. Multimodel Consensus Forecasts of the Precipitation  Using TIGGE Data. Proceedings of the Third WMO International Conference on  QPE/QPF and Hydrology. October 2010, Nanjing, China.

28.  Zhi X  F*, Bai Y Q, Lin C Z, et al. Multimodel Superensemble Forecasts of the  Surface Temperature in the Northern Hemisphere. Third THORPEX International  Science Symposium, September 14-18, 2009, California, USA.

29.  Zhang L,  Zhi X F. A Numerical Study on the Anomalies of the South Asian High and the  Subtropical Western Pacific High. The 1st International Conference on  Information Science and Engineering (ICISE), 2009,  DO1:10.1109/1CISE.2009.128.

30.  Zhi X  F*, Bai Y Q, Lin C Z, Qi H X, Chen W. MultimodeI Superensemble Forecasts of  Surface Temperature Using TIGGE Datasets. Third THORPEX International Science  Symposium, 14-18 September 2009, Monterey.

31.  Zhang L,  Zhi X F. The Features and Possible Causes of the Extreme Event with Freezing  Rain and Snow over the Southern China in Early 2008. Abstracts of 6th AOGS  Annual Meeting, 11-15 August 2009.

32.  Zhi X  F*, Lin C Z, Bai Y Q, Qi H X. Multimodel Superensemble Forecasts of Surface  Temperature Using TIGGE Datasets Abstracts of 6th AOGS Annual Meeting, 11-15  August 2009.

33.  Chen W,  Zhi X F. The Influence of the Stratospheric Variability on the Surface  Temperature over. Abstracts of 6th AOGS Annual Meeting, 11-15 August 2009.

34.  Wang Y,  Zhi X F. An Evaluation System for the Online Training Programs in Meteorology  and Hydrology. CALMET VIII 2009. 30 June-4 July, Saint Petersburg.

35.  Zhi X  F*, Lin C Z, Bai Y Q, Qi H X. Multimodel Superensemble Forecasts of Surface  Temperature Using TIGGE Datasets Collection of abstracts of the 2nd  THORPEX-Asia science workshop, 18-22 February 2009, Hangzhou.

36.  Zhang L,  Zhi X F. The Longitudinal Oscillation of the South Asian High and Its  Relation to the Subtropical Anticyclone over the Western Pacific in Summer.  Abstracts of 5th AGOS Annual Meeting, 22-25 June 2008, Pusan.

37.  Zhi X F,  Shi X J. Interannual Variation of Blockings in Eurasia and Its Relation to  the Flood Disaster in the Yangtze River Valley during Boreal Summer, Tenth  WMO International Symposium on Meteorological Education and Training, 21-26  September 2006, Nanjing, China.

38.  Zhi X F,  Klassen K. Agrometeorological Services in WeatherOnline, World Engineers’  Convention 2004, November 1-6, 2004, Shanghai.

39.  Zhi X F,  Hense A. The Influence of the snow cover in Eurasia on the Indian monsoon in  a zonally symmetric model. International Symposium on Tropical Weather and  Climate, November 8-11, 2004, Guangzhou.

40.  Zhi X F,  Cai E C. PNA and AO as predictors for the prediction of July air temperature  anomaly over East China, 77, Abstracts of the Second International Symposium  on Physico-Mathematical Problems related to Climate Modeling and Prediction,  September 22-25, 2002, Shanghai.

41.  Zhi X F,  Hense A. Interannual variability of the Indian summer monsoon and its  relation to global SSTs, DACH-Konference, September 17-21, 2001, Vienna

42.  Zhi X F.  An estimate of the comprehensive impact of natural disasters, Preprints of  12th Conference of Applied Climatology, May 8-11, 2000, Ashville, North  Carolina,

43.  Zhi X F,  Hense A. Interannual variability of tropical easterlies and the Indian summer  monsoon and its simulation with a zonally symmetric model, Abstracts of 4th  international conference on modelling of global climate change and  variability, 123, September 13-17, 1999, Hamburg, Germany.

44. Zhi X  F*. Quasi-biennial oscillation in precipitation and its possible application  to long-term prediction of floods and droughts over eastern China, Annalen  Meteorologie, 1997, 35: 250-252.

省部级以上科研项目： 

1. 国家自然科学基金面上项目“基于统计方法和机器学习的8-42d次季节多模式集成预报研究” （42275164）,  2023-2026， 项目负责人，在研；

2. 国家重点研发计划重点专项“重大灾害性天气的短时短期精细化无缝隙预报技术研究”（2017YFC1502000）, 2018-2022,第二课题负责人，结题。

3. 国家自然科学基金面上项目“基于不同多模式集成方案的10-15d延伸期天气的概率预报研究”(41575104), 2016-2019, 项目负责人，结题；

4. 国家重大科学研究计划（973）“东亚季风区年际-年代际气候变率机理与预测研究”（2012CB955200），2012-2016，第四课题负责人，结题；

5.  国家自然科学基金面上项目“大气低频振荡的变频特征及其机制研究”(41175078),  2012，项目负责人，结题；

6.  科技部科技支撑计划项目“延伸期数值预报预测关键技术研究”（2009BAC51B03），2010-2013，子课题负责人，结题；

7. 公益性行业（气象）科研专项“基于多模式集合预报的交互式应用技术研究”（GYHY200906007），2009-2012，课题负责人，结题；
   

8. 中国气象局软科学研究课题“WMO培训新标准视域里构建我国气象国际培训评估体系的研究”，2008，项目负责人，已结题；
   

9. 公益性行业（气象）科研专项“面向TIGGE的集合预报关键应用技术研究（GYHY(QX) 2007-6-1）”，2007-2009，子课题负责人，结题；
   

10. 教育部留学回国人员科研启动基金“过去50年我国气候极端事件变化的数值研究”， 2007-2009，项目负责人，结题；
    

11. 江苏省“六大人才高峰”项目“我国东部夏季降水月季预报的一种新方法”，2006-2008，项目负责人，结题。
    

国际合作项目：

1.  新加坡环境署项目 “Understanding and Projecting Natural Hazards That Endanger Food Production in Southeast Asia （CISR-2024-2R-01）”，2025-2029，主要参加者，在研。

2.  DFG中德合作项目 “20th- and 21st-Century Climate Changes in Western China Simulated With a Hierarchy of Global and Regional Climate Models, Including Improved Scenarios of Human Activity and Reliable  

     Observational Data for Validation(PAK 393)”，2011-2013，主要参加者，结题。

3. 加拿大环境部项目"Communication of Low Frequency and Extreme Agrometeorological Events and their trends", 2009-2010（参加）, 结题。

横向项目：

1. 华为技术有限公司科技项目：基于基站感知辅助的短临降水预测合作项目，2024-2025，在研。

2. 南方电网重点项目：大规模风电光伏多时间尺度供电能力预测技术，2023-2025，在研。
   

3. 云南省气象局项目：基于人工智能的精细化要素预报算法研发，2023，结题。

4. 中国气象局地球系统数值预报中心项目：基于人工智能的集合预报释用技术研究，2023-2024，结题。

5. 江苏省科学技术协会项目：江苏省科技期刊学会科普服务平台建设，2023, 结题。
   

6. 福建省灾害天气重点实验室开放课题：华南暖区暴雨在WRF数值模拟中的最优微物理参数化方案研究，2020-2022，结题。

7. 北京市气象台委托项目：基于人工智能的北京市强降水预报技术研究，2021-2022，结题。

8. 国家天文台委托项目：大型射电望远镜选址气候评估研究，2021，结题。

9. 华东空管局招标项目：华东地区机场及终端区风场预报预警系统研究，2019-2021，结题。

10. 江苏省科学技术协会项目：江苏省科技期刊学会科普服务平台建设，2020，结题。

11. 国家气象中心委托项目：灾害性天气检验评估方法开发，2018-2019,已结题。

12. 北极阁开放研究基金：基于多模式集成与统计降尺度的精细化预报研究, 2017-2019, 结题。

13. 深圳南方强天气研究重点实验室项目：基于统计降尺度技术的深圳市强降水精细化预报研究, 2015-2016, 结题。

14. 中国气象局公服中心委托项目：精细化预报时间降尺度以及降水空报消空及相关重建方法研究,2015-2016，结题。

15. 中国气象局公服中心委托项目：基于统计降尺度的多模式精细化预报系统，2014-2015，结题。

16. 贵州省气象局委托项目：贵州省气温和降水统计降尺度预报技术研究，2013，结题。

17. 中国气象局公服中心委托项目：基于统计降尺度的降水数值预报产品订正技术应用研究，2010，结题。

18. 国家气象中心委托项目：基于集合预报的中期天气预报系统，2009-2010，结题。