摘要
大气辐射传输的计算精度在很大程度上依赖于大气参数的精度。建立局地的大气参数模式在光电工程的大气传输计算中将有重要应用。利用目前可获得的探空数据、卫星观测数据、地面站点的观测数据初步建立了我国不同地域的大气参数模式,包括地面至120 km高度的温度、湿度、气压的逐日、逐月、逐年高度分布廓线、地面能见度的月平均分布,覆盖我国91个气象探空台站。并把这些大气参数模式用在通用大气辐射传输计算软件(CART)中计算大气透过率和大气背景辐射。文中展示了5个台站的大气参数时空分布以及用CART计算的大气窗口波段的透过率、大气热背景辐射逐月分布及其在我国地域的空间分布。
The calculation accuracy of atmospheric radiative transfer depends greatly on the precision of atmospheric parameters.The establishment of a local atmospheric parameter model plays an important role in the calculation of atmospheric radiative transfer for the photoelectric engineering.By using the data of currently available,including balloon-sounding data,satellite observation data,and some surface observation data at different areas in China,a preliminary model of atmospheric parameters was established,including the daily average,monthly average and yearly average profiles from the ground to 120 km of atmospheric temperature,humidity,air pressure,and density,as well as the monthly average of the ground visibility,covering the 91 observing stations in China.These parameters were integrated in the Combined Atmospheric Radiative Transfer calculation software(CART)to calculate atmospheric transmittance and atmospheric background radiation.The spatial distribution of atmospheric parameters of 5 stations and the monthly distribution of atmospheric thermal background radiation and its geographical distribution in China were shown in the paper.
作者
魏合理
戴聪明
唐朝礼
武鹏飞
黄宏华
李学彬
朱文越
饶瑞中
王英俭
Wei Heli;Dai Congming;Tang Chaoli;Wu Pengfei;Huang Honghua;Li Xuebin;Zhu Wenyue;Rao Ruizhong;Wang Yingjian(Key Laboratory of Atmospheric Optics,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China;Institute of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China)
出处
《红外与激光工程》
EI
CSCD
北大核心
2019年第12期1-8,I0012,共9页
Infrared and Laser Engineering
基金
国家自然科学基金青年科学基金(41505023)
装备预研基金(41416020204)
关键词
大气参数模式
辐射传输
计算
时空分布
atmopsheric parameters model
radiatvie transfer
calculation
temporal and spatial distribution