3rd International Symposium on Resource Exploration and Environmental Science | |
Research on solar radiation error of sounding temperature sensor | |
生态环境科学 | |
Cao, Hongxia^1^2^3^4^5 ; Liu, Minming^5 ; Liu, Xinyu^5 ; Wang, Zengxuan^5 ; Tang, Yan^5 | |
Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing, China^1 | |
Joint International Research Laboratory of Climate and Environment Change, Nanjing, China^2 | |
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing, China^3 | |
Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing, China^4 | |
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China^5 | |
关键词: Air pressures; Numerical simulation analysis; Physical parameters; Radiation errors; Surface coatings; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/300/3/032021/pdf DOI : 10.1088/1755-1315/300/3/032021 |
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学科分类:环境科学(综合) | |
来源: IOP | |
【 摘 要 】
The error of sounding temperature sensor with bead thermistor induced by solar radiation seriously affects the accuracy of temperature measurement. To solve this problem, this paper presents a novel numerical analysis method based on computational fluid dynamics to correct solar radiation error. The error thermal analysis model of sounding temperature sensor with bead thermistor is established from ground to 32km altitude with different air pressures, and computational fluid dynamics is employed for numerical simulation analysis of solar radiation error. The solar radiation errors are reported in different physical parameters such as the altitude, the direction of solar radiation and the surface coating reflectivity of sensor. The results show that the solar radiation errors present a nonlinear monotone increasing trend with the rise of altitude. Among the errors caused by solar radiation, the error is biggest in the direction perpendicular to the front of the sensor. The simulation results also indicate that the solar radiation error can be significantly reduced by improving the surface coating reflectivity of sensor.
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