globalchange  > 气候变化与战略
CSCD记录号: CSCD:5243714
论文题名:
CO_2高光谱遥感仪器的光谱参数和信噪比需求
其他题名: Spectral Parameters and Signal-to-noise Ratio Requirement for CO_2 Hyper Spectral Remote Sensor
作者: 王倩1; 杨忠东2; 毕研盟2
刊名: 应用气象学报
ISSN: 1001-7313
出版年: 2014
卷: 25, 期:5, 页码:1182-1190
语种: 中文
中文关键词: 高光谱 ; 遥感 ; 碳卫星
英文关键词: CO_2 ; hyper spectral ; CO_2 ; remote sensing ; TANSAT
WOS学科分类: MEDICINE GENERAL INTERNAL
WOS研究方向: General & Internal Medicine
中文摘要: 卫星短波红外CO_2遥感获得大气低层CO_2浓度信息,已成为目前国际热点研究领域。结合气候变化及碳源、汇观测需求,利用高精度大气辐射传输模式研究了高光谱分辨率、高精度CO_2探测目标的可实现性。针对高光谱CO_2探测器光栅分光、阵列探测器特点,分析了光谱分辨率、光谱采样率等关键技术指标对CO_2探测的可能影响;基于辐射敏感度因子分析了不同探测精度要求下的信噪比需求。结果表明:高光谱CO_2探测器首先应具有足够高的光谱分辨率,以便从太阳反射连续谱段中分辨出CO_2吸收线;为保证CO_2光谱的准确性,光谱仪所用探测器面元应该保证光谱采样率大于2;尽管探测边界层内CO_2浓度1%变化所要求的信噪比难以达到,但探测整层大气CO_2浓度1%的变化所需要的信噪比是可以实现的。
英文摘要: With the stable increase of carbon dioxide (CO_2) concentrations,space based measurement of CO_2 concentration in lower atmosphere by reflected sunlight in near infrared band has become a hot research topic.Recently,instruments sensitive to total CO_2 column data in near-surface have become available through the SCIAMACHY instrument on ENVISAT and TANSO-FTS on GOSAT.The developing hyper spectral CO_2 detector in China carried by TANSAT is going to be launched in 20 1 5.Hyper spectral CO_2 detector is designed to provide global measurements of CO_2 in lower troposphere,employing high resolution spectra of reflected sunlight taken simultaneously in near-infrared CO_2(1.6 1 mum and 2.06 mum) and O_2 (0.76 mum) bands. Associated with climate change and observation requirements of carbon sources and sinks,the feasibility of making CO_2 column concentration measurements with high-resolution and high-precision is studied by high resolution atmosphere radiation transfer model.In consideration of the application requirements, effects of key specifications of the hyper spectral CO_2 detector such as spectral resolution,sampling ratio and sign-to-noise ratio (SNR) on CO_2 detection are analyzed. Typical characteristics of hyper spectral CO_2 detector on TANSAT are grating spectrometer and arraybased detector.To achieve the column averaged atmospheric CO_2 dry air mole fraction (X_(CO_2)) precision requirements of 1 *10~(-6) -4*10~(-6),hyper spectral CO_2 detector should provide high resolution at first to resolve CO_2 absorption lines from continuous spectra of reflected sunlight.Compared to a variety of simulated spectral resolutions,the spectral resolution of hyper spectral CO_2 detector on TANSAT can resolve CO_2 spectral features and maintain the moderate radiance sensitivity.Since small size array detector-based instruments may suffer from undersampling of the spectra,influences of spectral undersampling to CO_2 absorption spectra are studied,indicating that sampling ratio should exceed 2 pixels/FWHM to ensure the accuracy of CO_2 spectrum. SNR is one of the most important parameters of hyper spectral CO_2 detectors to ensure the reliability. SNR requirements of CO_2 detector to different detection precisions are explored based on the radiance sensitivity factors.Results show that it is difficult to achieve SNR to detect 1 *10~(-6) -4*10~(-6) CO_2 concentration change in the boundary layer by solar shortwave infrared passive remote sensing,limited by the instrument development condition and level at present.However,the instrument SNR to detect 1 % change in the CO_2 column concentration is attainable.These results are not only conductive to universal applications and guides on developing grating spectrometer,but also helpful to better understand the complexity of CO_2 retrieval.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/148567
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: 1.中国气象科学研究院, 北京 100081, 中国
2.国家卫星气象中心, 北京 100081, 中国

Recommended Citation:
王倩,杨忠东,毕研盟. CO_2高光谱遥感仪器的光谱参数和信噪比需求[J]. 应用气象学报,2014-01-01,25(5):1182-1190
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[王倩]'s Articles
[杨忠东]'s Articles
[毕研盟]'s Articles
百度学术
Similar articles in Baidu Scholar
[王倩]'s Articles
[杨忠东]'s Articles
[毕研盟]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[王倩]‘s Articles
[杨忠东]‘s Articles
[毕研盟]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.