摘要
本文利用计算流体动力学(Computational Fluid Dynamics,CFD)方法对基于076B型强制通风防辐射罩的温度传感器进行流固耦合传热分析,计算不同太阳辐射强度、下垫面反射率、强制通风速度、气象站海拔高度和下垫面长波辐射强度等影响因子条件下温度传感器的辐射误差。为实现影响因子连续变化时能提供准确修正数据的目标,采用神经网络算法仿真值计算结果进行拟合,获得辐射误差订正方程。结果表明,辐射误差订正方程的修正误差在0.005℃以内。订正后的气温观测数据有望用于气候变化研究和高精度天气预报。
The method of Computational Fluid Dynamics(CFD)is implemented to obtain radiation errors of a temperature sensor equipped with a 076B aspirated radiation shield under various environmental conditions.Then,a radiation error correction equation is obtained by fitting the CFD results using a neural net algorithm.The results show that the error of the radiation error correction equation is within 0.005℃.A high-accuracy air temperature data can be obtained by using this correction equation proposed in this paper,which may serve not only for general climate change research but also for thehigh-accuracy weather forecast.
作者
丁仁惠
费松
杨杰
沈瑱
王大鹏
张道远
DING Renhui;FEI Song;YANG Jie;SHEN Zhen;WANG Dapeng;ZHANG Daoyuan(Jiangsu Meteorological Observation Center,Nanjing 210009,China;School of Electronic and Information Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China)
出处
《气象科学》
北大核心
2020年第4期540-545,共6页
Journal of the Meteorological Sciences
基金
江苏省高等学校自然科学研究项目(18KJB530011)
国家自然科学基金资助项目(41875035)
南京信息工程大学人才启动经费(2017r60)。
关键词
地面气温
强制通风温度传感器
太阳辐射误差
计算流体动力学
surface air temperature
aspirated air temperature sensor
solar radiation error
computational fluid dynamics
