กลับสู่ทำเนียบบุคลากร (About Us)
Mr.Somprat Srithagon
Curriculum Vitae (CV)

Mr.Somprat Srithagon

Professional Meteorologist, Numerical Weather Prediction Sub-division, Weather Forecast Division, Thai Meteorological Department (TMD), Thailand

ประวัติการศึกษา (Education)

  • M.Eng. in Computer Engineering, Kasetsart University, Thailand (2022) — Thesis: Rainfall nowcasting in Bangkok Metropolis based on rain gauge data using machine learning
  • B.Eng. in Computer Engineering, Prince of Songkla University, Thailand (2012)

ประสบการณ์การทำงาน (Professional Experience)

  • 2025 – Present: Professional Meteorologist — Numerical Weather Prediction Sub-division (TMD) — Manages NWP model post-processing, designs automated 6-hour Python/Linux data pipelines, integrates HPC infrastructure for heavy computational workloads, and collaborates on a solar energy forecasting project using Australia's National Computational Infrastructure (NCI).
  • 2017 – 2025: Professional Meteorologist — Research and Development Section (TMD) — Developed machine-learning-based rainfall nowcasting algorithms using automated rain gauge networks, built automated Text-to-Speech weather warnings and daily forecast formatting scripts, and led automation training (CLI, Python plotting).
  • 2014 – 2017: Meteorologist — Weather Forecast Section (TMD) — Conducted short-range forecasting, issued severe weather warnings, and delivered live weather reports on public radio (e.g., Jor Sor 100).
  • 2013 – 2014: Meteorologist — Southern Meteorological Center (East Coast) (TMD) — Served as an aeronautical meteorologist (forecaster), providing aviation weather forecasts in support of flight operations.

ความเชี่ยวชาญและงานวิจัยที่สนใจ (Research Interests & Expertise)

  • Numerical Weather Prediction (NWP) Modeling, including WRF Model, GFS, ECMWF HRES, Data Assimilation, and Model Bias Correction.
  • High-Performance Computing (HPC) & Linux HPC Administration for operational forecasting.
  • Machine Learning and Artificial Intelligence for rainfall prediction, nowcasting, and forecast improvement.
  • Atmospheric Data Pipelines, Automated ETL, and Cron Scheduling (Python, Bash/Linux Shell Scripting).
  • Observation & Remote Sensing (Himawari Satellite Imagery, Weather Radar Composites, and QPE).
  • Weather Data Visualization, Scientific Python Plotting, and Custom Web Dashboards.

กิจกรรม ทุนวิจัย และการประชุมระดับนานาชาติ (Research Activities & Fellowships)

  • AP-TCRC Research Fellowship 2026 (Oct–Dec) — Shanghai, China.
  • Technical delegate at the Weather & Climate Forecast Conference 2026 (WCFC 2026) — Tokyo, Japan.
  • AOMSUC-15 & FYSUC 2025 Satellite User Conferences — Beijing/Qingdao, China.
  • WMC-Beijing Training Course on the Application of Meteorological Products 2024 — Guangdong, China.
  • ESCAP/WMO Roving Seminar on AI for Tropical Cyclone Prediction 2024 — Bangkok, Thailand.
  • MRCS Regional Meeting on River & Flash Flood in the Lower Mekong Basin 2024 — Hanoi, Vietnam.
  • Typhoon Committee Research Fellowship 2023 & 2015 — National Typhoon Center (NTC), KMA — Jeju, South Korea.
  • 21st RSMC Tokyo Attachment Training Course 2023 — Online.
  • 10th International Workshop on Tropical Cyclones (IWTC-10, 2022) — Bali, Indonesia.
  • WRF Model Data Assimilation Training (2013) — TMD × CWB Taiwan.

ผลงานตีพิมพ์ทางวิชาการ (Publications)

Srithagon, S., Phisanbut, N., et al. (2021). Rainfall nowcasting based on neighboring rain gauge stations using learning machines. 25th International Computer Science and Engineering Conference (ICSEC 2021), IEEE.
เข้าถึงบทความวิจัย (DOI Link)
Srithagon, S. (2022). Rainfall nowcasting in Bangkok Metropolis based on rain gauge data using machine learning. M.Eng. Thesis, Department of Computer Engineering, Kasetsart University.