Summary
Overview
Work History
Education
Skills
Websites
Journal Publication and Dissertation
Timeline
Generic
Chong-Chi Tong

Chong-Chi Tong

Boulder

Summary

Dedicated and skilled meteorological research scientist with over 10 years of experiences in numerical weather prediction modeling and data assimilation (DA). Focused on innovating and enhancing DA systems and techniques for integration into national operational forecasting systems.

Overview

17
17
years of professional experience

Work History

Research Scientist

CIRES, University of Colorado Boulder / NOAA-PSL
Boulder
02.2025 - Current
  • Running the Global-Workflow to conduct cycling DA experiments and investigate the impact on atmospheric river prediction.
  • Applying Machine Learning and Artificial Intelligence in Data Assimilation for Global Modeling to Improve Medium-Range Forecast Skill

Research Scientist

Center for Analysis and Prediction of Storms
Norman
07.2020 - 01.2025
  • Performed research for national funded projects on developing and improving DA techniques for the operational DA/forecasting systems.
  • Applied variational, ensemble-based, and hybrid DA schemes to study convective storm systems, e.g., squall lines, supercells, and hurricanes.

Post-Doctoral Research Associate

University of Oklahoma
Norman
01.2016 - 06.2020
  • Developed interfaces for variational and ensemble-based DA in GSI to couple with regional FV3 model.

Meteorologist Officer, Second Lieutenant

Republic of China (Taiwan) Air Force
Taoyuan
11.2009 - 08.2010
  • Monitored real-time weather conditions at a military airport to ensure the safety of navigation during missions.

Research Assistant

National Taiwan University
Taipei
01.2009 - 08.2009
  • Conducted analysis of weather radar data and numerical model forecasts to enhance storm comprehension.

Education

Ph.D. - Meteorology

University of Oklahoma
Norman, OK
11-2015

Master of Science - Atmospheric Science

National Taiwan University
Taipei, Taiwan
01-2009

Bachelor of Science - Atmospheric Science

National Taiwan University
Taipei, Taiwan
08-2006

Skills

  • Data Assimilation
  • Numerical Weather Prediction Modeling
  • Ensemble Forecasting
  • Observing System Simulation Experiment
  • Analysis and Prediction of Storms
  • Radar Data Processing and Analysis
  • Programming (Fortran, Matlab, shell scripts)

Journal Publication and Dissertation

  • Tong, C.-C., C. Liu, and M. Xue, 2026: Radar data assimilation with JEDI LETKF for ensemble forecasting of Hurricane Ida (2021) using a HAFS-like configuration. Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-25-0139.1
  • Tong, C.-C., M. Xue, C. Liu, J. Luo, and Y. Jung, 2024: Development of multi-scale EnKF within GSI and its applications to multiple convective storm cases with radar reflectivity data assimilation using the FV3 limited area model. Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-23-0235.1
  • Li, H., C. Liu, M. Xue, J. Park, L. Chen, Y. Jung, R. Kong, and C.-C. Tong, 2022: Use of power transform total number concentration as control variable for direct assimilation of radar reflectivity in GSI En3DVar and tests with six convective storms cases. Mon. Wea. Rev., 821-842. https://doi.org/10.1175/MWR-D-21-0041.1
  • Liu, C., H. Li, M. Xue, Y. Jung, J. Park, L. Chen, R. Kong, and C.-C. Tong, 2022: Use of a Reflectivity Operator Based on Two-Moment Thompson Microphysics for Direct Assimilation of Radar Reflectivity in GSI-based Hybrid En3DVar. Mon. Wea. Rev., 907-926. https://doi.org/10.1175/MWR-D-21-0040.1
  • Tong, C.-C., Y. Jung, M. Xue, and C. Liu, 2020: Direct assimilation of radar data with ensemble Kalman filter and hybrid ensemble-variational method in the National Weather Service operational data assimilation system GSI for the stand-alone regional FV3 model at a convection-allowing resolution. Geophy. Res. Lett., https://doi.org/10.1029/2020GL090179
  • Zhang, G., V. N. Mahale, B. J. Putnam, Y. Qi, Q. Cao, A. D. Byrd, P. Bukovcic, D. S. Zrnic, J. Gao, M. Xue, Y. Jung, H. D. Reeves, P. L. Heinselman, A. Ryzhkov, R. D. Palmer, P. Zhang, M. Weber, G. M. Mcfarquhar, B. Moore III, Y. Zhang, J. Zhang, J. Vivekanandan, Y. Al-Rashid, R. L. Ice, D. S. Berkowitz, C.-C. Tong, C. Fulton, and R. J. Doviak, 2019: Current status and future challenges of weather radar polarimetry: Bridging the gap between radar meteorology/hydrology/engineering and numerical weather prediction. Adv. Atmos. Sci., 571-588, https://doi.org/10.1007/s00376-019-8172-4
  • Tong, C.-C., 2015: Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 177pp, https://shareok.org/handle/11244/25756?show=full.

Timeline

Research Scientist

CIRES, University of Colorado Boulder / NOAA-PSL
02.2025 - Current

Research Scientist

Center for Analysis and Prediction of Storms
07.2020 - 01.2025

Post-Doctoral Research Associate

University of Oklahoma
01.2016 - 06.2020

Meteorologist Officer, Second Lieutenant

Republic of China (Taiwan) Air Force
11.2009 - 08.2010

Research Assistant

National Taiwan University
01.2009 - 08.2009

Ph.D. - Meteorology

University of Oklahoma

Master of Science - Atmospheric Science

National Taiwan University

Bachelor of Science - Atmospheric Science

National Taiwan University
Chong-Chi Tong