Study of Upper Air Analysis Using Wind Profiler for Weather Forecasting in Chiang Mai, Thailand
Keywords:
Meteorology, Upper Air analysis, Weather ForecastAbstract
The upper air observation using a radiosonde at the Northern Meteorological Center is conducted once a day, representing weather conditions over a 24-hour period. This is insufficient for analyzing weather conditions occurring within shorter time frames. The Wind profiler system can monitor weather conditions every 5 minutes, but is limited to 5 km altitude and is not publicly accessible. Therefore, this study aims to Study of upper air analysis using Wind profiler data in Chiang Mai Province. The Wind profiler system of the Thai Meteorological Department can measure meteorological data including temperature, relative humidity, wind speed, and wind direction. By analyzing the upper air observation data from the Wind profiler and radiosonde to calculate atmospheric stability indices and assess atmospheric instability risks, the stability assessment of thunderstorms in Chiang Mai Province can be determined. The results show that the upper air observations from both sources can forecast thunderstorm occurrences. Consequently, this study led to the development of a stability index analysis program using the Skew-T Log P thermodynamic diagram and the trial is distributed via the website. It facilitates the use of information to support decision-making in issuing weather forecasts and warning announcements in Chiang Mai and the northern region. For example, analysis of the opportunity of thunderstorms Forecasting the trend of fog during winter Including analysis of weather trends during high concentrations of particulate matter (PM2.5) in the northern region, etc., It is useful for people and agencies to collaborate to prevent dangers that may occur from severe weather and help reduce damage to people's lives and property.
References
กรมอุตุนิยมวิทยาA. (2566). METNET system. สืบค้นจาก http://119.46.126.213:20080/.
กรมอุตุนิยมวิทยาB. (2566). เรดาร์ตรวจอากาศ. สืบค้นจาก https://weather.tmd.go.th/lmp.php.
กรมอุตุนิยมวิทยาC. (2566). TMD - UPPERAIR ANALYSIS. สืบค้นจาก กลุ่มวิจัยและพัฒนาสารสนเทศอุตุนิยมวิทยา: https://unique-driven-bonefish.ngrok-free.app/.
โปรแกรม RAOB, RAOB: 20230723_0000_RAOB.csv (2566).
ศูนย์อุตุนิยมวิทยาภาคตะวันออกเฉียงเหนือตอนล่าง. (30 สิงหาคม 2562). สืบค้นจาก www.ubonmet.tmd.go.th/files/KM-base/KM-2562-1.pdf.
ส่วนตรวจอากาศชั้นบน. (2566). การตรวจอากาศชั้นบน. กรุงเทพมหานคร: กรมอุตุนิยมวิทยา.
Edoardo, B.. Methodologies for Wind Field Reconstruction in the U-SPACE: A Review. Atmosphere, 14, 2073-4433. Retrieved from https://www.mdpi.com/2073-4433/14/11/1684.
Hervo, M., Romanens, G., Martucci, G., Weusthoff, T., & Haefele, A. (2023). Evaluation of an Automatic Meteorological Drone Based on a 6-Month Measurement Campaign. Atmosphere, 14, 2073-4433. Retrieved from https://www.mdpi.com/2073-4433/14/9/1382.
Kirtsaeng, S., Chantara, S., & Kreasuwun, J. (2010). Mesoscale Simulation of a Very Heavy Rainfall Event over Mumbai, Using the Weather Research and Forecasting (WRF) Model. Chiang Mai Journal of Science, 37, 429-442. Retrieved from https://www.thaiscience.info/journals/Article/CMJS/10905468.pdf.
Kirtsaeng, S., Kreasuwun, J., Chantara, S., Kirtsaeng, S., Sukthawee, P., & Masthawee, F. (2012). The Weather Research and Forecasting (WRF) Model Performance for a Simulation of the 5 November 2009 Heavy Rainfall over Southeast of Thailand. Chiang Mai Journal of Science, 39, 511-523. Retrieved from https://www.thaiscience.info/journals/Article/CMJS/10905270.pdf.
Liang, Y., Wu, C., Wu, D., Liu, B., Li, Y., Sun, J. et al. (2022). Vertical distributions of atmospheric black carbon in dry and wet seasons observed at a 356-m meteorological tower in Shenzhen, South China. Science of The Total Environment, 853, 0048-9697. Retrieved from https://www.sciencedirect.com/science/article/pii/S0048969722057564?via%3Dihub.
Ma, X., Wang, J., Hong, H., Wang, X., Wang, Z., & Hu, B. (2023). Comprehensive Analysis of Typhoon Nangka Based on the Satellite Data from the GPM, CloudSat and Himawari-8. Atmosphere, 14, 440. Retrieved from https://www.mdpi.com/2073-4433/14/3/440.
Radiometrics Corporation. (2020). Wind and Thermodynamic Profiling system CNX training.
Thielicke, W., Hübert, W., Müller, U., Eggert, M., & Wilhelm, P. (2021). Towards accurate and practical drone-based wind measurements with an ultrasonic anemometer. Atmospheric Measurement Techniques, 14, 1303-1318. Retrieved from https://amt.copernicus.org/articles/14/1303/2021/.
Wyoming Weather Web. (2566). สืบค้นจาก University of Wyoming: https://weather.uwyo.edu/upperair/sounding.html.