2023年
Ji Y, Bing G, Michael Langguth,et al. 2023. CLGAN: A GAN-based video prediction model for precipitation nowcasting.Geoscientific Model Development 16: 2737–2752.
Ji Y, Zhi X F,Peng T,et al. 2023.Conditional Ensemble Model Output Statistics forPostprocessing of Ensemble Precipitation Forecasting.Weather and Forecasting https://doi.org/10.1175/WAF-D-22-0190.1
Ji Y, Zhi X F,Wu Y,et al. 2023. Regression Analysis of Air Pollution and PediatricRespiratory Diseases based on Interpretable Machine Learning.Frontiers inEarth Science 11:1105140.
Lv Y,Zhi X F, Ji Y,et al. 2023.Improving Subseasonal-to-Seasonal Prediction ofSummer Extreme Precipitation over Southern China Based on a Deep LearningMethod.Geophysical Research Letters.
Ding S Y,Zhi X F, Ji Y,et al. 2023.Deep Learning for Daily 2-m TemperatureDownscaling.Earth and Space Science.
Kong D, Zhi X,Ji Y, et al.2023.Precipitation Nowcasting Based on Deep Learningover Guizhou, China. Atmosphere 14: 807.
Wang T, Zhang Y, Zhi X,Ji Y.2023.Multi-Model Ensemble Forecasts of Surface AirTemperatures in Henan Province Based on Machine Learning.Atmosphere 14(3): 520.
2022年
Ji Y, Zhi X F, Ji L Y,et al. 2022. Deep-Learning-Based Post-Processing DeepLearning Based Post-Processing For Probabilistic Precipitation Forecasting.Frontiers in Earth Science 10:978041.
Bing G, Michael Langguth,Ji Y,et al. 2022. Temperature forecasting by deeplearning methods.Geoscientific Model Development 15: 8931–8956.
Zhi X, Cui B,Ji Y, et al. 2022.Prediction of water level in urban waterlogging areabased on deep learning approach.2022 AEECA Annual Meeting.
Zhu D, Zhi X F, Zin M S,Ji Y. 2022. Interdecadal Variability of Heavy Rainfall underNortheast Cold Vortex Over Northeast China.Atmosphere 13: 354.
2021年
Ji L Y, Luo Q X,Ji Y,et al.2021.Probabilistic Forecasting of the 500 hPaGeopotential Height over the Northern Hemisphere Using TIGGE Multi-modelEnsemble Forecasts.Atmosphere https://doi.org/10.3390/atmos12020253.
智协飞,张珂珺,田烨,季焱.2021.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 44(3): 381–393.
2020年
Ji Y, Zhi X F, Huo Z Q,et al. 2020. Downscaling of Precipitation Forecasts Based onSingle Image Super-Resolution.EGU 2020 Annual Meeting.
Peng T, Zhi X F,Ji Y. 2020. Prediction Skill of Extended Range 2-m Maximum AirTemperature Probailistic Forecasts Using Machine Learning Post-ProcessingMethods.Atmosphere 11: 823.
智协飞,王田,季焱.2020.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 43(3): 435–446.
彭婷,智协飞,董颜,王玉虹,季焱.2020.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.
2019年
Ji Y, Peng T, Ji L Y, et al. 2019. Quantitative Precipitation Forecasts: Model OutputStatistics Based on a Deep Convolutional Neural Network.AOGS 2019 AnnualMeeting.
Ji L Y, Zhi X F, Simmer C,Ji Y. 2019. Multi-Model Ensemble Forecast ofPrecipitation Based on an Object-Based Diagnostic Evaluation.Monthly WeatherReview doi: 10.1175/MWR-D-19-0266.1.
发明专利
1. 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
2. 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
3. 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
4. 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
5.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
6.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
7.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
个人信息
