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、博导；

2000.10 至今：先后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；南京信息工程大学教授，博导；

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:  

担任中国气象局乌鲁木齐沙漠气象研究所客座研究员、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。

图书：

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

2. 矫梅燕，张明华，智协飞，朱彬，兰红平. 朱乾根纪念文集. 北京：气象出版社, 2014.
   

3. 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.

   
   

近5年发表的科研论文 (https://www.researchgate.net/profile/Xiefei-Zhi/research)

2023

1. 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
   

2. 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

3. 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

4. JiY, 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

5. 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 
   

6. 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  

7. 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
   

8. 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

9. 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

10. 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

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

12. 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

13. 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. 2023, Remote Sensing, https://doi.org/10.3390/rs15041005
    

14. 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

15. 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[J].大气科学学报, 2023, 46(2):230-241. https://doi.org/10.13878/j.cnki.dqkxxb.20210128001

16. 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. 

17. 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. 

18. 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），2023.

19. 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.

20. 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.

2022 

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.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 

3.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 

4.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 

5.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

6.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

7.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

8.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

9.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

10.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

11.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

12.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 

13.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

14.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 

15.Pan M T, Zhi X*, Liu Z Y, 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 .

16.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 

17.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. 

18.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.

19.Zhi X*, Pan M T, 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

20.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. 

21.Sein Z, Ullah I, Iyakaremye V, Azam K, Ma X Y, 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.

22.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

23.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.

24.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

25.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 .

26.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. 

27.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, 2022, https://doi.org/10.3878/j.issn.1006-9895.2207.21220 

2021

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 Q, Wang Y., Kong S F, Zhao T L, Zhi X, Huang Z, Sun X Y,  Hu W Y, 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, Ye C Z. 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 P, Fan Y, Pan M T. 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 X, Zhi X*, Peng T, Bai Y Q, Lin C Z, Chen W. 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 H, Freadrich K, Jiang X, Zhu S P, 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 Y, Luo Q X, 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 P, Zhi X*, Ge F, Fan Y, Zhang L, Gao J Y. 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 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, 2021, 16(2):024013.   https://doi.org/10.1088/1748-9326/abd7ad 

15.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

16.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

17.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

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.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  .  

9.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.

10.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.

11.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.

12.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.

13.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.

14.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

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. 

10.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.

11.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.

12.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   

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

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.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.

5.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.

6.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.

7.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)At: Vienna, Austria.

8.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)At: Vienna, Austria.

9.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.

10.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.

11.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.

12.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.

13.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

14.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.

15.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.

16.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.

17.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.

18.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. 

近5年国家级科研项目： 

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）, 55万元， 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）, 331万元， 2018-2022,第二课题负责人，已结题。

近5年横向项目：

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，44.6万元，2023-2024，在研。

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，20万元，2023-2024，在研。

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，239万元，2023-2025，在研。

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，10万元，2021-2022，已结题。

国家天文台委托项目：大型射电望远镜选址气候评估研究，35万元，2021，已结题。

中国民用航空华东地区空中交通管理局研发项目：华东地区机场及终端区风场预报预警系统研究，90万元，2019-2021，已结题。

国家气象中心委托项目：灾害性天气检验评估方法开发，25万元，2018-2019,已结题。