CV

Bing-Xue Zhuang

Ph.D. Candidate
Department of Atmospheric and Oceanic Sciences, McGill University, QC, Canada
Environment Canada and Climate Change, QC, Canada
Email: w3862246@gmail.com; bing-xue.zhuang@mail.mcgill.ca; Bing-Xue.Zhuang@ec.gc.ca

Education

• 2024-Present: Ph.D. in Atmospheric and Oceanic Sciences, McGill University
• 2019-2021: M.S. in Atmospheric Sciences, Department of Atmospheric Sciences, National Central University, Taiwan
  • Thesis: A Novel Approach to Assimilate Polarimetric Parameters with an LETKF System: Analysis and Forecast in Real Summer Cases
• 2015-2019: B.S. in Atmospheric Sciences, Department of Atmospheric Sciences, National Central University, Taiwan

Research Interests

1. Data Assimilation: Assimilating radar, profiler, and sounding data with EnKF or 3DVAR to improve the accuracy of quantitative precipitation forecasts.
2. Numerical Weather Prediction: Estimating model uncertainties and sensitivities with ensemble predictions for observation targeting.
3. Cloud Microphysics: Modifying microphysics parameterization schemes to better illustrate microphysical processes in numerical models.
4. Applications of Dual-Polarimetric Radars: Using dual-polarimetric parameters to validate the performance of numerical models and to initiate hydrometeors via data assimilation.
5. Artificial Intelligence: Training AI models to learn the relationship between environmental conditions and presence of cloud and to enhance the performance of data assimilation.

Professional Experience

• 2024-Present: Part-Time Student Employee, Environment Canada and Climate Change, QC, Canada
  • Collaborating with Data Assimilation and Satellite Meteorology Section to develop AI models adjusting environmental conditions with cloud features.
• 2022-2024: Research Assistant, National Central University, Taiwan
  • Following the results of my master’s thesis to complete the development of the novel approach to assimilate dual-polarimetric parameters.
  • Investigating the benefits of assimilating advanced profiler observations with the observation system simulation experiment (OSSE).
  • Using ensemble simulation to evaluate the potential locations for the deployment of the advanced observation instrument in the future.
• 2019-2021: Graduate Research Assistant, National Central University, Taiwan
  • Upgraded the EnKF radar data assimilation system by adding the function of assimilating dual-polarimetric parameters.
  • Evaluated the benefits and limitations of assimilating dual-polarimetric parameters with different microphysics parameterization schemes.
  • Tested a novel approach to take advantage of the relationship between ZDR and the mean diameter of raindrops in the data assimilation procedure.
• July 2018: Summer Internship, Central Weather Bureau, Taiwan
  • Built a global numerical model with the barotropic vorticity equation.
  • Investigated the energy dispersion of an ideal typhoon vortex.

Honors and Awards

• 2025: Pilarczyk Fellowship, CAD 5,000 (approx. USD 3,500)
• 2021: Taiwan Rotary Academic Scholarship, NTD 135,000 (approx. USD 4,500)
• 2019: National Central University x Hiroshima University Poster Symposium, 3rd prize award
• 2019: Ren-Jie Liu Scholarship for Undergraduate Students, NTD 20,000 (approx. USD 650)

Publications

1. Zhuang, B.-X., K.-S. Chung, W.-Y. Chang, C.-C. Tsai, and Y.-C. Yu: An Innovative Approach to ZDR Data Assimilation Using an Ensemble Kalman Filter: A Proof-of-Concept Study. Atmospheric Research, 332, 108703. doi: https://doi.org/10.1016/j.atmosres.2025.108703.

Conference Presentations

1. Chung, K.-S., B.-X. Zhuang, W.-Y. Chang, and C.-C. Tsai: The Mean Diameter Update Approach for Ensemble-Based Dual-Polarimetric Radar Data Assimilation. 12th European Conference on Radar in Meteorology and Hydrology, Rome, Italy, September 9-13.
2. Zhuang, B.-X., K.-S. Chung, W.-Y. Chang, and C.-C. Tsai: The Mean Diameter Update Approach for Dual-Polarimetric Radar Data Assimilation Based on Ensemble Kalman Filter. AOGS Annual Meeting 2022, Pyeongchang, Korea, June 24-28, 2024.
3. Zhuang, B.-X., C.-Y. Ke, Y.-C. Liou, K.-S. Chung, and W.-Y. Chang: Assimilate Planetary Boundary Layer Vertical Profilers in Observation System Simulation Experiments: Impacts on the Quantitative Precipitation Forecast. Conference on Weather Analysis and Forecasting 2023, Taipei, Taiwan, September 5-7, 2023.
4. Chung, K.-S., B.-X. Zhuang, W.-Y. Chang, and C.-C. Tsai: A Novel Approach to Assimilate ZDR Observations with an Ensemble Data Assimilation System. Invited Talk Presented at Conference on Weather Analysis and Forecasting 2023, Taipei, Taiwan, September 5-7, 2023.
5. Zhuang, B.-X., K.-S. Chung, W.-Y. Chang, and C.-C. Tsai: A Novel Approach to Assimilate ZDR Observations with an Ensemble Kalman Filter Data Assimilation System. 40th AMS Conference on Radar Meteorology, Minneapolis, Minnesota, USA, August 28-September 1, 2023.
6. Zhuang, B.-X., K.-S. Chung, and C.-C Tsai: Assimilating Dual-Polarimetric Radar Observations with EnKF: Analysis and Forecasts in a Real Case. AOGS Annual Meeting 2022, Virtual, August 1-5, 2022.
7. Zhuang, B.-X., K.-S. Chung, and C.-C Tsai: Impact of Additional Assimilation of Dual-Polarimetric Parameters: Analysis and Forecasts in a Real Case. EGU General Assembly 2022, Vienna, Austria, May 23-27, 2022, EGU22-4756. https://doi.org/10.5194/egusphere-egu22-4756.
8. Chung, K.-S., B.-X. Zhuang, and C.-C. Tsai: Impact of Assimilating Additional Dual-Polarimetric Parameters with an LETKF Assimilation System in a Real Summer Case. Conference on Weather Analysis and Forecasting 2021, Taipei, Taiwan, October 26-28, 2021.
9. Zhuang, B.-X., K.-S. Chung, and C.-C. Tsai: Impact on Analysis Fields with Additional Assimilation of Polarimetric Parameters: Two Real Cases Study. AOGS Annual Meeting 2021, Virtual, August 2-6, 2021.
10. Zhuang, B.-X., C.-Y. Lu, P.-J. Chen, K.-S. Chung, and C.-H. Chen: Investigating the Performance of Torrential Rain Event with Different Microphysics Schemes: Case Study of SoWMEX IOP#8. NCU x HU Poster Symposium, Taoyuan, Taiwan, June 10, 2019.

Field Campaign Participation

• Prediction of Rainfall Extremes Campaign in the Pacific (PRECIP), 2022
  • Monitored the launch of automatic soundings.
  • Operated SPOL radar and analyzed the real-time data to support PIs’ decisions on scanning strategies.
• Taiwan-Area Heavy Rain Observation and Prediction Experiment (TAHOPE), 2022
  • Operated Taiwan Experimental Atmospheric Mobile Radar (TEAM-R).
  • Designed scanning strategies depending on weather systems and analyzed the real-time data.

Skills

1. OS: Windows, macOS, Linux
2. Programming: Fortran, Python, NCL, Shell Script
3. Languages: Chinese (native), English