Preprints
https://doi.org/10.5194/egusphere-2024-661
https://doi.org/10.5194/egusphere-2024-661
08 Apr 2024
 | 08 Apr 2024

Data quality control and calibration for mini-radiosonde system “Storm Tracker” in Taiwan

Hung-Chi Kuo, Ting-Shuo Yo, Hungjui Yu, Shih-Hao Su, Ching-Hwang Liu, and Po-Hsiung Lin

Abstract. This study introduced and evaluated the calibration schemes of a newly developed upper-air radiosonde instrument, “Storm Tracker” (ST), with data collected in field observations during 2016–2022. The ST is a radiosonde instrument developed and tested in 2016 (Hwang et al., 2020). In a series of field campaigns in the Taiwan area, more than one thousand co-launches of ST and Vaisala RS41-SGP (VS) are conducted. Using the VS measurements as the reference, we developed data correction methods and examined the characteristics of the ST sounding. The corrected ST soundings have 1-K temperature and 7 % relative humidity root mean square difference to the VS soundings. These error differences can be reduced to 0.66-K and 4.61 % below the 700-hPa height. The GPS estimated ST wind error difference is about 0.05 ms-1. The results suggested that the ST can perform similarly to the reference sounding and has reached the level required for environmental sampling and scientific research. The geostrophic adjustment dynamics indicate that the spatial temperature variation in the free atmosphere may not be large. However, the lower atmosphere may have large wind, temperature, and moisture variations. Due to the relatively low cost and accuracy after correction, ST can complement regular upper-air observations for high spatial and temporal resolution.

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Hung-Chi Kuo, Ting-Shuo Yo, Hungjui Yu, Shih-Hao Su, Ching-Hwang Liu, and Po-Hsiung Lin

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  • RC1: 'Comment on egusphere-2024-661', Anonymous Referee #1, 29 Apr 2024
  • RC2: 'Comment on egusphere-2024-661', Anonymous Referee #2, 01 May 2024
Hung-Chi Kuo, Ting-Shuo Yo, Hungjui Yu, Shih-Hao Su, Ching-Hwang Liu, and Po-Hsiung Lin
Hung-Chi Kuo, Ting-Shuo Yo, Hungjui Yu, Shih-Hao Su, Ching-Hwang Liu, and Po-Hsiung Lin

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Short summary
The study introduces "Storm Tracker," a budget-friendly device for weather observation. It highlights the calibration and testing against more expensive devices, ensuring its accuracy for temperature and humidity. This innovation could improve weather forecasting by making detailed atmospheric data more accessible, especially in challenging regions. Through rigorous comparison and enhancement, "Storm Tracker" promises to improve disaster preparedness and understanding of local weather patterns.