摘要
地表气温上升速度约为0.1℃/(10 a),然而受太阳辐射影响,地面气象站观测到的气温会高于真实大气温度,存在1℃量级的辐射误差。因此,本文提出了一种基于数据融合的铝壳温度传感器设计。首先,利用流体动力学方法计算温度传感器在不同环境条件下的辐射误差。其次,为获得连续辐射误差结果,利用神经网络算法对辐射误差数值计算结果进行学习,形成误差订正方程。最后,将太阳辐射误差订正方程修正值与试验结果进行对比。结果表明,基于数据融合的铝壳温度传感器可将辐射误差降至0.05℃以内。
The magnitude of surface air temperature change is on the order of 0.1℃ per decade.However,current naturally ventilated radiation shields and screens may produce a radiation error that is on the order of 1℃ due to solar radiation effect.To improve the air temperature observation accuracy,the design of temperature sensor for aluminum shell based on data fusion was proposed.Firstly,a Computational Fluid Dynamics(CFD)method was implemented to obtain radiation errors of the low-error temperature sensor.Then,in order to obtain a radiation error correction equation,a neural net algorithm method was used to fit the CFD results.Finally,the corrected value of the solar radiation error correction equation was compared with the test results.A relatively accurate air temperature measurement result shows that radiation error would be declined to lower than 0.05℃ by this aluminum shell temperature sensor based on data fusion proposed in this research.
作者
陈高颖
刘清惓
丁仁惠
杨杰
姜帆
CHEN Gaoying;LIU Qingquan;DING Renhui;YANG Jie;JIANG Fan(Jiangsu Key Laboratory of Meteorological Observation and Information Processing,Nanjing University of Information Science&Technology,Nanjing 210044,China;Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science&Technology,Nanjing 210044,China;Jiangsu Meteorological Detection Center,Nanjing 210009,China;Nanjing Yeabest Technology Co.,LTD.,Nanjing 210004,China)
出处
《气象科学》
北大核心
2021年第3期404-409,共6页
Journal of the Meteorological Sciences
基金
国家自然科学基金资助项目(41875035)
江苏省高等学校自然科学研究项目(18KJB530011)
江苏高校优势学科Ⅱ期建设工程(PAPD-Ⅱ)。
关键词
地表气温观测
温度传感器
高反射率银膜
辐射误差
计算流体动力学
surface air temperature observation
temperature sensor
high-reflectivity silver film
radiation error
CFD
