博导介绍
博导介绍(按姓氏排序)
     
    王皓(Hao Wang)

    【个人简介】

    王皓,中共党员,博士,目前担任电子工程学院(大气探测学院)副院长,中国研究生电子设计竞赛全国执委、四川省科技青年联合会第七届理事,四川省气象学会第十四届理事会大气物理与大气探测委员会委员,国家自然科学基金项目评审专家,多省科技厅项目评审专家,《Journal of Hydrology》、《Water Resources Research》、《Science of the Total Environmen》等高水平期刊审稿专家。目前主持国家及省部级课题10项,合作出版专著1本,授权国家发明专利/软著6项,发表科研论文70余篇。

    【研究方向】

    1.天气雷达精细化探测

    2.星地协同定量遥感

    3.多源气象数据融合

    在研和完成项目】

    1.FY-3G与FY-4A/B联合观测下的西南涡降水云系三维结构及微物理特征研究国家自然科学基金面上项目,项目负责人,2026-2029

    2.基于多波段双偏振雷达对流性致灾风暴的精细化识别关键技术研究,国家自然科学基金气象联合基金,子课题负责人,2024-2027

    3.青藏高原致灾气象过程发生机理及预报方法研究,科技部重点研发计划,专题负责人,2023-2026

    4.四川突发性灾害天气的智能感知、识别与预报关键技术研究,四川省科技厅中央引导地方科技发展专项,项目负责人,2023-2024

    5.四川盆地复杂地形下强降水的多源精细化观测及智能预报模型研究,四川省科技厅自然科学基金面上项目,2023-2024

    6.云南复杂地形条件下航空气象保障监测网协同研究,云南省科技厅重点研发计划,子课题负责人,2022-2024

    7.基于组网雷达与星载观测的精细化夜雨过程研究,四川省科技厅应用基础研究项目,项目负责人,2019-2021

    8.利用地基GPS水汽层析技术对成都平原不同天气背景下的水汽演变特征研究,国家自然科学基金青年项目,项目负责人,2015-2017

    【代表性研究成果

    1.Hua W., Qiangyu Z., Hao W. et al.,Temporal super-resolution reconstruction of weather radar echoes using a deep learning approach,Expert Systems with Applications, 2026

    2.Qiangyu Z., Lin L., Hao W. et al., MCDA-UNet: A satellite data-based model for radar composite reflectivity retrieval,Atmospheric Research, 2025

    3.Tiantian Y., Chandrasekar V., Hao W. et al., The Accuracy of Different Methods in Improving Quantitative Snowfall Estimation Based on Dual-Frequency Dual-Polarization Doppler Radar,IEEE Transactions on Geoscience and Remote Sensing, 2025

    4.Rong Y., Hao W., Fugui Z. et al., Enhancing severe weather predictions with the I-ConvGRU model: An iterative approach for radar echo time series through ConvGRU and RainNet integration,Journal of Hydroinformatics, 2024

    5.Hao W., Zhi L., Tao Z. et al., Downscaling of GPM satellite precipitation products based on machine learning method in complex terrain and limited observation area, Advances in Space Research, 2023

    6.Hao W., Linyin T., Fugui Z. et al., Three-Dimensional Structure Analysis and Droplet Spectrum Characteristics of Southwest Vortex Precipitation System Based on GPM-DPR,Remote Sensing, 2022

    7.Yilin Y., Hao W., Guoping L. et al., Projection of Future Extreme Precipitation in China Based on the CMIP6 from a Machine Learning Perspective,Remote Sensing, 2022

    8.Taisong X., Jianxin H., Hao W.,Contextual Sa-Attention Convolutional LSTM for Precipitation Nowcasting: A Spatiotemporal Sequence Forecasting View,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021

    9.LeiW.,PingL.,ZhiweiH.Hao W.et al., Improving C-band weather radar reflectivity attenuation based on two-dimensional video disdrometer data,Journal of Applied Remote Sensing, 2020

    10.Hao W., Lei W., Jianxin H. et al.,Can the GPM IMERG Hourly Products Replicate the Variation in Precipitation During the Wet Season over the Sichuan Basin, China?,Earth and Space Science, 2020

    【获奖情况】

    1.四川省海外高层次留学人才

    2.四川省“十佳”优秀青年气象工作者

    3.成都信息工程大学首届“研究生优秀指导教师”

    【联系方式】

    电子邮箱:wh@cuit.edu.cn

    办公电话:028-85966501

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