Radar Meteorology Lab.
Research Field
Wei-Yu Chang received the bachelor’s degree from the Chinese Culture University, Taiwan, in 2000, and his M.S. and Ph.D. degrees from National Central University (NCU), Taiwan, in 2002 and 2010, respectively, all in atmospheric sciences. He was a postdoctoral fellow in Advanced Study Program (ASP), Earth Observing Laboratory (EOL), National Center for Atmospheric Research (NCAR), U.S., from 2011 to 2014. Dr. Chang was an assistant professor at Chinese Culture University from 2015 to 2019. Since 2020, he has been an assistant professor at National Central University. His research interest includes mainly advancing the understanding of the precipitation processes of mesoscale convective systems using meteorological radar. He also specializes in various radar data techniques, including raindrop size distribution retrieval, quantitative precipitation estimation (QPE), hydrometer classification, storm tracking, non-meteorological signal removal, attenuation correction, etc.
My research interests focus on analyzing various severe weather systems, including the Mei-yu front, typhoons, thunderstorm and mesoscale convective systems. In particular, I specialize in the development and application of meteorological radar technology. With the increasing functionality and importance of the new-generation dual-polarization precipitation radar and millimeter-wavelength cloud radar, I work on developing application techniques for meteorological radars across different frequency bands (S, C, X, Ka).
My research involves developing methods for radar data quality control (QC), quantitative precipitation estimation (QPE), hydrometeor classification, and retrieval of hydrometeor content. I also conduct studies on various mesoscale weather systems, analyzing their dynamical, thermodynamical, and cloud microphysical characteristics throughout different life stages (initiation, development, mature, and dissipation). Through these efforts, I aim to better understand precipitation efficiency and ultimately reduce the disasters caused by severe weather.
My research interests focus on analyzing various severe weather systems, including the Mei-yu front, typhoons, thunderstorm and mesoscale convective systems. In particular, I specialize in the development and application of meteorological radar technology. With the increasing functionality and importance of the new-generation dual-polarization precipitation radar and millimeter-wavelength cloud radar, I work on developing application techniques for meteorological radars across different frequency bands (S, C, X, Ka).
My research involves developing methods for radar data quality control (QC), quantitative precipitation estimation (QPE), hydrometeor classification, and retrieval of hydrometeor content. I also conduct studies on various mesoscale weather systems, analyzing their dynamical, thermodynamical, and cloud microphysical characteristics throughout different life stages (initiation, development, mature, and dissipation). Through these efforts, I aim to better understand precipitation efficiency and ultimately reduce the disasters caused by severe weather.
2024: 112學年度國立中央大學優良論文貢獻獎 (Outstanding Thesis Contribution Award, National Central University)
2024:112學年度國立中央大學地科學院教學優良教師 (Outstanding Teaching Teacher of the School of Earth Sciences, National Central University)
2024: 指導博士後 Dr. Jui Le Loh 榮獲國科會 112年度博士後研究員學術研究獎，得獎文章為發表在IEEE Transactions on Geoscience and Remote Sensing期刊，文章標題Long-Term Assessment of the Reflectivity Biases and Wet-Radome Effect Using Collocated Operational S-and C-Band Dual-Polarization Radars (Supervise Postdoc Dr. Dr. Jui Le Loh to receive National Science and Technology Concuil Postdoctoral Researcher Academic Research Award Title: Long-Term Assessment of the Reflectivity Biases and Wet-Radome Effect Using Collocated Operational S-and C-Band Dual-Polarization Radars )
2022: Top %10 Journal Academic Research Achievement Award (前 TOP10 學術論文獎勵), College of Earth Sciences, National Central University Title of the paper: Loh, J. L.; W.-Y. Chang*, H-W Hsu, P-F Lin, P-L Chang, Y-L Teng, Y-C Liou, 2022: Long-Term Assessment of the Reflectivity Biases and Wet-Radome Effect Using Collocated Operational S- and C-Band Dual-Polarimetric Radars. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-17 [SCIE; IF=7.5] (Supervise Postdoc Dr. Dr. Jui Le Loh to receive Top %10 Journal Academic Research Achievement Award Title: Long-Term Assessment of the Reflectivity Biases and Wet-Radome Effect Using Collocated Operational S-and C-Band Dual-Polarization Radars )
2018:中華民國氣象學會106年度、『中華民國大氣科學期刊優良論文』 2017:氣象應用推廣基金會、『俞家忠106年度最佳論文獎』 Title of the paper: 陳如瑜、張偉裕、陳台琦，2017：北台灣 S 與 C 波段雙偏極化雷定量降雨估計之比較，大氣科學，45，57-81。 Chen, J.-Y., W.-Y. Chang*., T.-C. C. Wang., 2017: Comparison of Quantitative Precipitation Estimation in Northern Taiwan Using S- and C-band Dual-polarimetric Radars. Atmospheric Sciences, 45, 57-82 (In Chinese with English abstract)] (Supervise master student Ms. Ju-Yu Chen to receive (1) Outstanding Paper in the Journal of Atmospheric Sciences, Meteorological Society of the Republic of China (2) Yu Jiazhong 2017 Best Paper Award, Meteorological Application Promotion Foundation. Title: Comparison of Quantitative Precipitation Estimation in Northern Taiwan Using S- and C-band Dual-polarimetric Radars. Atmospheric Sciences, 45, 57-82 (In Chinese with English abstract)] )
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| Education | |||
| School | Department | Degree | Year/Month |
| National Central University | Graduate Institute of Atmospheric Physics | Ph.D. | 2010/07 |
| National Central University | Graduate Institute of Atmospheric Physics | Master | 2002/07 |
| Chinese Culture University | Department of Atmospheric Sciences | Bachelor | 2020/07 |
Job Description
The student intern will analyze meteorological radar data. The candidate should have a good programming background and knowledge of earth science (particularly atmospheric science). He/She will learn how to quality control the radar data and apply the QCed data for quantitative precipitation estimation (QPE).
Preferred Intern Educational Level
Phd student
Skill sets or Qualities
Matlab, python, fortran, Linux