Evaluation of the applicability of high-resolution temperature real-time products during high-temperature weather in Sichuan, summer 2022

Bing Du; Wei Wu; Xiaolong Huang

doi:10.1117/12.3032123

3 June 2024 Evaluation of the applicability of high-resolution temperature real-time products during high-temperature weather in Sichuan, summer 2022

Bing Du, Wei Wu, Xiaolong Huang

Author Affiliations +

Proceedings Volume 13170, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024); 131700S (2024) https://doi.org/10.1117/12.3032123
Event: Third International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024), 2024, Wuhan, China

Abstract

This paper uses surface temperature observation data from July to August 2022 in Sichuan to assess the applicability of the National Meteorological Information Center's 0.01° resolution hourly temperature real-time product in extreme high-temperature weather in Sichuan for 2022. The evaluation covers hourly temperature, daily extreme values and temperature ranges, and high-temperature days. The following conclusions are drawn: (1) The product effectively characterizes hourly temperature, with the absolute value of the mean error ≤ 0.15°C and a correlation coefficient ≥ 0.98. Performance in the Sichuan Basin surpasses that in complex terrain areas such as the Western Sichuan Plateau, Liangshan, and Panzhihua (called Panxi). In conditions of high-temperature weather (temperature ≥ 35 °C), accuracy peaks at 35 °C ~ 36 °C, with underestimation becoming more pronounced as temperature increases.; (2) The products exhibit underestimation in the daily maximum temperature and daily temperature range, but the absolute mean error value in each region is ≤ 1 °C. The daily range of products is most accurate between 400 ~ 2000 m above sea level. The daily minimum temperature is slightly overestimated, with stations featuring large errors predominantly in the southeast of the basin; (3) The products underestimate the number of high-temperature days, with the absolute value of the mean error in each region being ≤ 3 days. Stations with substantial errors are primarily distributed in the western and northern parts of the basin and the northern part of Liangshan. Areas with more high-temperature days exhibit smaller errors.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Bing Du, Wei Wu, and Xiaolong Huang "Evaluation of the applicability of high-resolution temperature real-time products during high-temperature weather in Sichuan, summer 2022", Proc. SPIE 13170, International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024), 131700S (3 June 2024); https://doi.org/10.1117/12.3032123

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KEYWORDS

Temperature metrology

Meteorology

Interpolation

Air temperature

Statistical analysis

Statistical methods

Error analysis

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