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2024: A Deep Learning Approach for Forecasting Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region, ADVANCES IN ATMOSPHERIC SCIENCES.
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2019: A Model Output Machine Learning Method for Grid Temperature Forecasts in the Beijing Area, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1156-1170.
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2024: Machine Learning Analysis of Impact of Western US Fires on Central US Hailstorms, ADVANCES IN ATMOSPHERIC SCIENCES.
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2022: A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1994-2007.
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2020: Machine Learning−based Weather Support for the 2022 Winter Olympics, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 927-932.
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2023: A Multi-Domain Compression Radiative Transfer Model for the Fengyun-4 Geosynchronous Interferometric Infrared Sounder (GIIRS), ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1844-1858.
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2024: Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 767-776.
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2020: An Observing System Simulation Experiment to Assess the Potential Impact of a Virtual Mobile Communication Tower–based Observation Network on Weather Forecasting Accuracy in China. Part 1: Weather Stations with a Typical Mobile Tower Height of 40 m, ADVANCES IN ATMOSPHERIC SCIENCES.
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2016: The 10th Antarctic Meteorological Observation, Modeling, and Forecasting Workshop, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 656-658.
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2024: Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models, ADVANCES IN ATMOSPHERIC SCIENCES.
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2018: Modeling the Warming Impact of Urban Land Expansion on Hot Weather Using the Weather Research and Forecasting Model: A Case Study of Beijing, China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 723-736.
doi: 10.1007/s00376-017-7137-8
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