Dr. Xiefei Zhi's scientific contributions

Scientific research projects  (China):

National Natural Science Foundation of China, "Research on 8-42d Subseasonal Multi-model Ensemble Forecasting Based on Statistical Methods and Machine Learning" (42275164), 2023-2026. Project leader, currently in progress.

Key Special Project of the National Key Research and Development Program, "Research on Short-term and Short-range Refined Seamless Forecasting Technology for Major Disastrous Weathers" (2017YFC1502000), 2018-2022. Deputy leader of the second sub-project, completed.

National Natural Science Foundation of China, "Research on Probabilistic Forecasting of 10-15d Extended-range Weather Based on Different Multi-model Ensemble Schemes" (41575104), 2016-2019. Project leader, completed.

National Major Basic Research Development Program of China (973 Program), "Mechanism and Prediction of Interannual and Decadal Climate Variability in the East Asian Monsoon Region" (2012CB955200), 2012-2016. Leader of the fourth sub-project, completed.

National Natural Science Foundation of China, "Research on the Variable Frequency Characteristics and Mechanisms of Atmospheric Low-frequency Oscillations" (41175078), 2012. Project leader, completed.

Project of the Science and Technology Support Program of the Ministry of Science and Technology, "Research on Key Technologies of Extended-range Numerical Forecasting and Prediction" (2009BAC51B03), 2010-2013. Leader of a sub-project, completed.

Special Scientific Research Project in the Public Welfare Industry (Meteorology), "Research on Interactive Application Technology Based on Multi-model Ensemble Forecasting" (GYHY200906007), 2009-2012. Project leader, completed.

Soft Science Research Project of the China Meteorological Administration, "Research on Establishing an International Meteorological Training Evaluation System in China from the Perspective of the New WMO Training Standards", 2008. Project leader, completed.

Special Scientific Research Project in the Public Welfare Industry (Meteorology), "Research on Key Application Technologies of Ensemble Forecasting Oriented to TIGGE (GYHY(QX) 2007-6-1)", 2007-2009. Leader of a sub-project, completed.

Scientific Research Foundation for Returned Overseas Chinese Scholars, Ministry of Education, "Numerical Study on the Changes of Climate Extreme Events in China over the Past 50 Years", 2007-2009. Project leader, completed.

International Cooperation Scientific research projects

Project of the Singapore Environment Agency, "Understanding and Projecting Natural Hazards That Endanger Food Production in Southeast Asia (CISR-2024-2R-01)", 2025-2029. Main participant, currently in progress.

DFG Sino-German Cooperation Project, "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. Main participant, completed.

Project of the Environment Canada, "Communication of Low Frequency and Extreme Agrometeorological Events and their trends", 2009-2010 (participant), completed.

Patents：

Zhi Xiefei, Lyu Yang, Ji Yan, Zhu Shoupeng. Method and System for Predicting Urban Waterlogging Level Based on Improved Convolutional Neural Network, ZL202210815291.4.

Zhi Xiefei, Lyu Yang, Ji Yan, Zhu Shoupeng. A Fine - grained Fitting Method for Urban Waterlogging Level Based on Artificial Intelligence, ZL202210605679.1.

Zhi Xiefei, Zhou Liqun, Lyu Yang, et al. A Short - term Precipitation Forecasting Method Based on Improved VIT Neural Network, ZL202410437687.9.

Zhi Xiefei, Ding Shuyan, Lyu Yang, et al. A Wind Field Downscaling Method Based on Deep Learning and Combined with Terrain, ZL202410799661.9.

Lyu Yang, Zhi Xiefei, Ji Yan, Zhu Shoupeng. A Subseasonal Typhoon Genesis Forecasting Method Based on Multi - channel Convolutional Neural Network, ZL202310174997.1.

Ding Shuyan, Zhi Xiefei, Wang Jingyu, Lyu Yang, Ji Yan. A Downscaling Method for Model Forecast Products Based on Deep Learning, ZL202310437043.5.

Ji Yan, Zhi Xiefei, Zhang Yonghong, et al. A Short - term Precipitation Ensemble Forecasting and Downscaling Method Based on Multi - meteorological Elements, ZL202311518550.8.

Ji Yan, Zhi Xiefei, Zhang Yonghong, et al. A Correction Method for Heavy Precipitation Forecast Based on the Overall Spatial Similarity of Heavy Precipitation in Deep Learning, ZL202311518546.1.

Ji Yan, Zhi Xiefei, Zhang Yonghong, et al. A Downscaling Method Based on Diffusion and ViT, ZL202311525721.X.

Zhu Shoupeng, Zhi Xiefei, Lyu Yang, Fan Yi, Zhang Ling. A Neighborhood Iterative Mapping Method for Single - model Subseasonal Forecast Correction, ZL202110981502.7.

Weng Yu, Zhi Xiefei, Zhang Ling, et al. A Method for Predicting ENSO Based on Improved Convolutional Neural Network and Using Tropical Pacific Subsurface Sea Temperature Anomaly, ZL202410652939.X.

Zhou Liqun, Zhi Xiefei, Ji Yan, et al. A Time Downscaling Correction Method for Radar Echoes Based on Improved U - Net, ZL202410447311.6.

Xu Jingwei, Wu Huanping, Zhi Xiefei, et al. A Method for Fusing Multi - source Satellite Significant Wave Heights Based on Improved Convolutional Neural Network, ZL202410587251.8.

Chen Chaohui, Li Kun, He Hongrang, Chen Xiong, Chen Xiangguo, Zhi Xiefei, et al. A Method for Generating Initial Value Perturbations of LBGM Method Based on Gaussian Weights, ZL202110360971.7.

Zhu Shoupeng, Fan Yi, Lyu Yang, Zhang Ling, Zhi Xiefei, et al. A Subseasonal Forecast Method for Extreme Precipitation Based on Multi - modal Fusion and Improved Deep Learning, ZL202410452556.8.

Fan Yi, Yin Zhicong, Zhang Ling, Jiang Yujie, Zhu Shoupeng, Zhi Xiefei, Duan Mingkeng. A Subseasonal Extreme Precipitation Prediction Method with Deep Fusion of Precursor Factors, ZL202411305389.0.

Chen Jing, Li Xiaoli,..., Shen Xueshun, Gong Jiandong, Zhi Xiefei, Xia Yu. GRAPES - REPS Regional Ensemble Forecasting Method and System, ZL202210079142.6.

Zhu Shoupeng, Lyu Yang, Zhang Ling, Fan Yi, Zhi Xiefei, et al. A Method for Probabilistic Forecast of Continuous Distribution of Extended - range Precipitation by Integrating Fine - grained Topographic Features, ZL202411589294.6.

Zhang Jie, Liu Shuangquan, Zhi Xiefei, et al. An Intelligent Forecast Correction Method and System for Wind Field Based on CBAM - TransUnet, CN117420618A.

Books:

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

Wash Dev Kartie, Zhi Xiefei, Zhang Ling. 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, pp. 129-145.

Zhi Xiefei, Tan Guirong, Jiang Yanru, et al. The Meteorological Practical Teaching System of the Atmospheric Science Experiment Center. In Laboratory Construction Research of Nanjing University of Information Science & Technology edited by Zhao Xueyu, etc. Beijing: China Meteorological Press, 2009.

Jiao Meiyan, Zhang Minghua, Zhi Xiefei, et al. Memorial Volume of  Prof. Zhu Qiangen. Beijing: China Meteorological Press, 2014.

Yan Zhongwei, Zhi Xiefei, Chai Linmin, et al. Special Report of the Fourth National Assessment Report on Climate Change (Popular Science Edition). Beijing: The Commercial Press, 2023.

Zhi Xiefei. The Integrated Development of "Academic Research + Popular Science" Helps the Scientific and Technological Journals Take Off with Both Wings——A Case Study of Journal of Atmospheric Sciences. In the Blue Book of the Development of Chinese Scientific and Technological Journals 2023, pp. 314-318. Beijing: Science Press, 2023.

Zhi Xiefei, Ji Yan, Ding Shuyan, et al. Intelligent Interpretation and Application of Numerical Model Forecasts, Meteorological Artificial Intelligence. China Meteorological Press, 2025.

Peer-reviewed journal papers in recent 10 years:

2025(9)

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

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

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

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

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

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

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

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

Chen J, Zhu YJ, Duan WS, Zhi XF, Min JZ, Li XL, Deng G, Yuan HL, Feng J, Du J, Li QP, Gong JD, Shen XS, Mu M. A review on development, challenges and future perspectives of ensemble forecast. Acta Meteorologica Sinica, 2025, https://doi.org/10.11676/qxxb2025.20240151

2024 (15)

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

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

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

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

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

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

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

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

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

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

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

Zhu Y, Zhu S, Xia P, Kong Y, Zhou LY, Lyu Y, Wang YH, Zhang YC, Zhi XF, Huo W, Ailiyaer AHT. Research on the correction of 10 m wind speed forecasts in Xinjiang based on the U-net neural network. Chinese Journal of Atmospheric Sciences, 2024, https://doi.org/10.3878/j.issn.1006-9895.2406

Ji L, Zhi X, Ji Y, et al. Research on the Improvement of Precipitation Spatial Structure Forecasting Based on Multi-model Ensemble. Chinese Journal of Atmospheric Sciences, 2024, https://doi.org/10.3878/j.issn.1006-9895.2305.23020

Jiang Y, Zhang L, Zhu S, Bai Y, Zhi X. Decadal Variation Characteristics of Atmospheric Aerosol Pollution in the Two-Lake Basin Region during Winter and Spring and Its Relationship with the North-South Anti-phase of the East Asian Meridional Wind. Chinese Journal of Atmospheric Sciences, 2024, 48(2): 773−788.

Zhi X, Cui B, Ji Y. Research on the Forecasting of Urban Waterlogging Depth Based on Deep Learning. Journal of Nanjing University of Information Science and Technology (Natural Science Edition), 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. Zhi X, Wu B, Luo Z, et al. Fine-scale Multi-model Forecasting of Surface and Upper-air Wind Fields in East China. Journal of the Meteorological Sciences, 2023, 46(6): 917-927. DOI: 10.13878/j.cnki.dqkxxb.20210318001

18. Zhi X, Huo Z. Research on the Correction of Precipitation Probability Forecasting in Complex Terrains of Southeast China. Journal of the Meteorological Sciences, 2023, 46(2): 230-241. https://doi.org/10.13878/j.cnki.dqkxxb.20210128001

19. Zhi X, Tian Y, Chen C, et al. Research Progress and Prospects of Drought PropagationⅠ—Meaning, Characteristics, Types and Research Methods of Drought Propagation. South-to-North Water Transfers and Water Resources Science & Technology (Chinese & English), 2023(4): 625-653.

20. Zhi X, Tian Y, Chen C, et al. Research Progress and Prospects of Drought PropagationⅡ—Influencing Factors and Prospects of Drought Propagation Research. South-to-North Water Transfers and Water Resources Science & Technology (Chinese & English), 2023(4): 654-668.

21. Zhang H, Zhi X, Li H, et al. Ensemble Forecasting Experiment and Evaluation of Cold Vortex Rainstorms Based on the Local-BGM Method. Journal of the Meteorological Sciences, 2023, 43(1): 35-45.

22. Hao C, Yu B, Dai Y, Zhi X, Zhang Y. Statistical Downscaling Study on the Spatiotemporal Distribution of Precipitation during the Flood Season in Beijing. Meteorological Monthly, 2023, 49(7): 843-854.

23. Wang T, Ji Y, Du Q, Zhu S, Zhi X. Short-term Forecast of Surface Air Temperature Based on the OMOS Method—A Case Study of Chongqing City. Journal of the Meteorological Sciences, 2023, 43(5): 652-661.

24. Song L, Zhang L, Ma X, Dong F, Zhi X. Objective Identification and Analysis of Warm Sector Rainstorms with Warm Shear Patterns in the Jianghuai River Basin. Chinese Journal of Atmospheric Sciences, 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. Wu B, Zhi X*, Chen C, et al. Study on Multi-model Ensemble Forecasting of Wind in East China Region Based on Complex Kalman Filtering Technique. Meteorological Monthly, 2022, 48(4): 393-405.

23. Huo W, Zhi X, Yang F, et al. Study on the Differences in Energy Budget between Artificial Greenlands and Natural Sandy Lands in the Taklimakan Desert. Meteorology of Desert and Oasis, 2022, 16(3): 1-9. https://doi.org/10.12057/j.issn.1002-0799.2022.03.001

24. Zhi X, Li J, Zhang L. Spatiotemporal Distribution Characteristics of the Diurnal Variation of Precipitation in Early Summer in South China under the Influence of Double Low-level Jets. Transactions of Atmospheric Sciences, 2022, 45(3): 444-455. https://doi.org/10.13878/j.cnki.dqkxxb.20210119001

25. Wang Y, Zhi X, Bai Y, et al. Typical Weather Circulation Classification and the Impact of Regional Transport during the Process of Severe PM2.5 Pollution in the Middle Reaches of the Yangtze River. Environmental Science, 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. Zhi X, Zhang K, Tian Y, Ji Y. Precipitation Probability Forecasting in East and South China Based on Neural Networks and Geographic Information. Transactions of Atmospheric Sciences, 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. Zhi X, Zhao C. Multi-Model Ensemble Forecast of Heavy Precipitation Based on Ensemble Member Correction. Journal of Applied Meteorological Science, 2020, 31(3): 303 - 314.

9. Zhang Y, Zhi X, Li F. Analysis of Temporal and Spatial Variation Characteristics of Drought in Henan Province Based on MCI. Science Technology and Engineering, 2020, 20(9): 3420 - 3426.

10.Zhi X, Wang T, Ji Y. Research on Multi-Model Ensemble Forecast of Surface Air Temperature in China Based on Deep Learning. Transactions of Atmospheric Sciences, 2020, 43(3): 435 - 446.

11.Xia M, Zhi X. Research on the Inconsistency Characteristics of Surface Air Temperature Forecasts by the ECMWF Operational Forecast Model. Transactions of Atmospheric Sciencesces, 2020, 43(4): 652 - 662.

12. Zhang H, Zhi X, Ji L. Preliminary Study on the Correction of Precipitation Deviation in China. Journal of the Meteorological Sciences, 2020, 40(4): 467 - 474.

13. Zhi X, Dong F, Zhang L, Ji L, Zhu S. Numerical Simulation Study on the Warm-Sector Rainstorms with South Wind Pattern along the Coast of Guangxi Based on Different Microphysical Processes. Transactions of Atmospheric Sciences, 2020, 43(5): 867 - 879.

2019 (14)

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, Peng T, Zhao Y, Sielmann F, Fraedrich K, Zhi X, Liu X, Tang W, Ji L. 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. Zhi X, Chen J, Zhang L, et al. Application of Ensemble Forecasting and Multi-Model Ensemble Forecasting Techniques. China Science and Technology Achievements, 2019, 7: 72-75, https://doi.org/10.3772/j.issn.1009-5659.2019.07.031

11.Zhi X, Huang W. Multi-Model Ensemble Forecasting of Temperature and Precipitation in China Regions Based on Kalman Filter. Transactions of Atmospheric Sciences, 2019, 42(2): 197-206.

12.Huo W, Hu S, Zhi X, et al. Study on the Calculation and Variation of Evapotranspiration between Artificial Greenlands and Natural Sandy Lands. Acta Meteorologica Sinica, 2019, https://doi.org/10.11676/qxxb2019.047

13.Peng T, Zhi X, Dong Y, Wang Y, Ji Y. Improvement of 2m Surface Air Temperature Forecasting in East Asia Based on Bayesian Model Averaging Method. China Science Paper, 14(5): 575-581.

14.Xu J, Zhi X, Xu M. Variation Characteristics of Research Directions in Atmospheric Science in the German-speaking Region in the Past 47 Years. Science & Technology Review, 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. Wang S, Zhi X, Yu J, et al. Statistical Downscaling Forecast of Precipitation and Reconstruction of Its Spatial Correlation and Temporal Continuity. Transactions of Atmospheric Sciences, 2018, 41(1): 36 - 45.

5. Ma X, Zhi X, Wang J, et al. Activities of Southwest Vortex in Summer during 1979 - 2016 and Their Relationship with Precipitation. Transactions of Atmospheric Sciences, 2018, 41(2): 198 - 206.

6. Ma S, Chen C, Zhi X, et al. Evaluation and Verification of Convective-Scale Ensemble Forecasts Based on Spatiotemporal Uncertainty. Acta Meteorologica Sinica, 2018, 76, doi: 10.11676/qxxb2018.022.

7. Chen Y, Zhi X, Wang S, Zhang L. A Study on the Application of Hierarchical Regression Statistical Downscaling in Typhoon Precipitation Forecast. Bulletin of Science and Technology, 2018, 34(5): 52 - 58.

8. Zhi X, Hu Y, Yu J, et al. Research on the Inconsistency of Surface Air Temperature Forecasts in East Asia Based on TIGGE Data. Transactions of Atmospheric Sciences, 2018, 41(3): 298 - 307.

9. Chen C, Liu M, Zhi X, et al. Research on Typical Laws of Disturbances in Short-Term Ensemble Forecasts Based on the BGM Framework. Transactions of Atmospheric Sciences, 2018, 41(4): 483 - 493.

10. Zhang L, Zhi X, Wang J, Wang Y. Comparative Test and Integration of Multi-Scheme Forecasts for Cloud Top Height and Temperature. Meteorological Science and Technology, 2018, 46(6): 1136 - 1146.

11. Mei Q, Zhi X, Wang J. Verification of the Heavy Rainfall Forecasting Capability of Different Cloud Parameterization Schemes in the WRF Model and Integration Experiments. Transactions of Atmospheric Sciences, 2018, 41(6): 731 - 742.

2017 (14)

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

2. Huo W, He Q, Yang E, Zhi X*. 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. Zhi X, Tian X, Zhu D, et al. Interdecadal Variation Characteristics of the Mongolian and Iranian Anticyclones in Winter. Chinese Journal of Atmospheric Sciences, 2017, 41(5), doi:10.3878/j.issn.1006 - 9895.1701.16255.

4. Tian X, Zhi X. Statistical Characteristics of Winter Temperate Anticyclone Activities in the Northern Hemisphere. Climatic and Environmental Research, 2017, 22(3): 322 - 334.

5. Song B, Zhi X, Pan M, et al. Winter Inter - decadal Scale Air - Sea Interaction in the North Pacific. Journal of the Meteorological Sciences, 2017, 37(2): 272 - 277.

6. Qiang Y, Zhi X, Jiang Y. Climate Change Characteristics of Low - temperature Frost in Lishui and Its Impact on the First Picking Date of Spring Tea. Journal of Henan Agricultural Sciences, 2017, (02): 33 - 37.

7. Chen X, Zhi X, Zhao H, et al. Influence of Australian Cold Air Activities on the Formation of Tropical Cyclones in the Western North Pacific. Transactions of Atmospheric Sciences, 2017, (01): 61 - 70.

8. Zhang H, Zhi X, Chen J, et al. Review of Research Progress on Perturbation Methods for Regional Ensemble Forecasting. Transactions of Atmospheric Sciences, 2017, 40(2): 145 - 157.

9. Shi X, Zhu S, Zhi X, et al. Comparative Analysis of Three Ice Nucleation Parameterization Schemes. Transactions of Atmospheric Sciences, 2017, 40(2): 181 - 192.

10. Ji L, Zhi X, Zhu S. Extended-range Probabilistic Forecasting of Winter Surface Air Temperature in East Asia. Transactions of Atmospheric Sciences, 2017, 40(3): 346 - 355.

12. Feng H, Zhi X, Li R. Research on Statistical Downscaling Forecast of the Surface Wind Field in Zhengzhou City. China Science Paper, 12(15): 1785 - 1791.

13. Zhi X, Zhou H, Wang S, et al. Retrospective Study of the Inter - annual Variability of Surface Air Temperature in East Asia by CMIP5 Multi - models. Transactions of Atmospheric Sciences, 2017, 40(4): 529 - 540.

14. Zhang L, Zhi X, Wu Q. Numerical Simulation of the Impact of the Tibetan Plateau Orography on Cold Surge Events in the South China Sea. Transactions of Atmospheric Sciences, 2017, 40(5): 587 - 595.

15. Ren C, Duan M, Zhi X. Analysis of the Characteristics of Extreme Temperatures in Winter and Summer in China under Different Climate Backgrounds. Transactions of Atmospheric Sciences, 2017, 40(6): 803 - 813.

2016 (17)

Ge F, Zhi X, Babar ZA, 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.

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

Sein ZMM, Zhi X*. Interannual variability of summer monsoon rainfall over Myanmar. Arabian Journal of Geosciences, 2016, 9:DOI:10.1007/s12517-016-2502-y.

Babar ZA, Zhi X*, 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.

Qiang Y, Zhi X, Yang L. Study on the Activity Laws of Lightning and Atmospheric Electric Field in Hail Weather in Southwest Zhejiang. Bulletin of Science and Technology, 2016, (12): 21-26 + 46.

Feng H, Zhi X, Cui H, et al. Refined Forecast of Surface Air Temperature Based on Multi-model Ensemble Technology. Meteorological and Environmental Sciences, 2016, (04): 73-79.

Wang Y, Zhi X, Zhu S, et al. Analysis of the Characteristics of Heating Degree Days and Cooling Degree Days in China before and after Climate Warming. Meteorological Science and Technology, 2016, (06): 956-964.

Tian X, Zhi X. Climatic Characteristics of Winter Temperate Anticyclone Activities in Eurasia. Acta Meteorologica Sinica, 2016, (06): 850-859.

Xu S, Zhi X, Wang X. Comparative Analysis of the Atmospheric and Oceanic Conditions in the Preceding Periods of Two Types of El Niño. Journal of Tropical Meteorology, 2016, (05): 1-10.

Meng X, Zhi X. Interannual and Decadal Variation Characteristics of Summer Drought in Northeast China. Transactions of Atmospheric Sciences, 2016, (04): 562-568.

Chen L, Zhi X, Qin J, et al. The Surface Circulation Patterns Affecting Air Pollution in Wuhan and Their Relationships with Pollutant Concentrations. Meteorological Monthly, 2016, (07): 819-826.

Zhi X, Wang S, Zhou H, et al. Study on the Hierarchical Regression Statistical Downscaling Forecast of Surface Precipitation in China. Transactions of Atmospheric Sciences, 2016, (03): 329-338.

Hu H, Zhi X, Guo H, et al. Research on BMA Prediction of East Asian Summer Circulation Based on CMIP5 Data. Journal of the Meteorological Sciences, 2016, (03): 340-348.

Cui W, Zhi X, Zhu S, et al. Comparative Study of Three Cloud Amount Calculation Schemes in a Meiyu Precipitation Event in the Yangtze River Basin. Transactions of Atmospheric Sciences, 2016, (02): 209-220.

Guo H, Zhi X, Duan M, et al. A Review of the Inconsistency Problem in Numerical Weather Prediction. Journal of the Meteorological Sciences, 2016, 36(1): 134-140.

Guo H, Duan M, Zhi X, et al. The Characteristics of Forecast Jumps Based on TIGGE Data. Journal of Applied Meteorological Science, 2016, (02): 220-229.

Zhi X, Zhao H, Zhu S, et al. A Study on the Superensemble of Surface Air Temperature Based on CMIP5 Multi-model Retrospective Data. Transactions of Atmospheric Sciences, 2016, (01): 64-71.

2015 (19)

He C, Zhi X*, You Q, 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, DOI:10.1007/s00703-015-0377-1.

Babar ZA, Zhi X, Ge F. Precipitation assessment of Indian summer monsoon based on CMIP5 climate simulations. Arabian Journal of Geosciences, 2015, 8: 4379-4392， DOI: 10.1007/s12517-014-1518-4.

Zhang L, Zhi X. 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.

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

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

Zhang H, Chen J, Zhi X, 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.

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

Zhang H, Zhi X*, 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.

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

Zhi X, Zhang J, Duan W. Application of the Target Observation Sensitive Area for ENSO Prediction in the Multi-model Ensemble Forecast of Sea Surface Temperature in the Tropical Pacific. Chinese Journal of Atmospheric Sciences, 2015, 39(4):767-776, doi:10.3878/j.issn.1006-9895.1408.14181.

Song B, Zhi X, Hu Y. Research Progress on the Formation Mechanism of the Hiatus in Global Warming. Transactions of Atmospheric Sciences, 2015, 38(2):145-154.

Bi X, Zhi X, Lin C. Method of Selecting Optimal Ensemble Members Based on TIGGE Data. Transactions of Atmospheric Sciences, 2015, 38(3):414-420.

Bian Y, Zhi X, Li B. Improvement of Extended-range Precipitation Forecast by Multi-model Ensemble Method. China Sciencepaper, 2015, 10(15):1813-1817.

Zhi X, Wang J, Lin C, et al. Study on the BMA Prediction Method of Air Temperature in CMIP5 Multi-model Data. Journal of the Meteorological Sciences, 2015, 35(4):405-412.

Wang H, Zhi X. Research on Statistical Downscaling Based on TIGGE Multi-model Precipitation Forecasts. Journal of the Meteorological Sciences, 2015, 35(4):430-437.

Zhang H, Zhi X, Wang Y, et al. Comparison of Multi-model Ensemble Forecasting Methods for Tropical Cyclones in the Western Pacific Based on TIGGE Data. Meteorological Monthly, 2015, 41(9):1058-1067.

Zhi X, Sun J, Zhou W. Ensemble Forecasting and Multi-model Ensemble Forecasting Experiments of Western Pacific Typhoons in Summer 2009. Transactions of Atmospheric Sciences, 2015, 38(5):633-640.

Zhi X, Zhu S, Sun J, et al., 2015. Comparative Experiments of Ensemble Forecasts for Typhoon “Saola” (1209)  Based on BGM and ETKF 1: Track Forecast. Transactions of Atmospheric Sciences, 2015, 38(6):776-784.

Zhang L, Zhi X, Liu E. A Brief Discussion on the Similarities and Differences of Undergraduate Education in Atmospheric Science between China and Germany. Technology Outlook, 2015, (26):199-200.