| 利用红外辐射光谱反演大气CO2浓度的理论研究 |
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| 引用本文： | 戴铁,郑有飞,石广玉.利用红外辐射光谱反演大气CO2浓度的理论研究[J].河南气象,2008,31(1):1-5. |
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| 作者姓名： | 戴铁 郑有飞 石广玉 |
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| 作者单位： | [1]南京信息工程大学环境科学与工程学院,南京210044 [2]中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室,北京100029 |
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| 基金项目： | 风云三号卫星应用系统工程研发项目（PSG-0701）资助
致谢：感谢日本东北大学的Professor Nakazawa,T为本研究提供了观测资料. |
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| 摘 要： | 依据最新的大气分子光谱数据集（HITRAN 2004），利用逐线积分辐射传输模式，模拟计算了大气顶射出红外辐射光谱及其对大气CO2浓度变化的灵敏度，发现：大气CO24．3μm吸收带，特别是2241-2249cm^-1、2250-2258cm^-1、2259-2267cm^-1和2382—2390cm^-1波段射出的红外辐射，随CO2浓度的增加而显著降低，且很少受其他大气成分变化干扰，因此特别适于用来遥感探测大气CO2浓度的变化。根据最优非线性反演方法，反演获得了0-15km的大气CO2廓线，结果表明，利用上述4个通道的红外辐射值，可精确反演出自由对流层的CO2浓度变化。
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| 关 键 词： | 红外 CO2浓度 逐线积分 反演 |
Theoretic Study on the Retrieval of Atmospheric CO2 Concentrations from Infrared Emitting Spectrum |
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| Institution: | Dai Tie , Zheng Youfei , Shi Guangyu (1. College of Environmental Science and Engineering, NUIST, Nanjing 210044, China; 2. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, CAS, Beijing 100029, China) |
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| Abstract: | Based on the latest atmospheric molecular spectroscopic database （HITRAN 2004） , the outgoing infrared emitting spectrum at the top of the atmosphere and its sensitivity to changes in atmospheric CO2 concentrations were calculated by a line-by-line （LBL） radiative transfer model. It is found that the outgoing infrared emitting spectrum in the 4.3 micron absorption band of CO2 reduces significantly with the increases of CO2 concentrations, particularly in the bands of 2 241 -2 249 cm^-1, 2 250 - 2 258 cm^-1, 2 259 -2 267 cm^-1 and 2 382 -2 390 cm^-1, and is seldom affected by changes in other atmospheric components, and therefore particularly well suited for remote sensing of atmospheric CO2 concentration changes. With the method of optimal nonlinear inversion method, atmospheric CO2 profile between 0 and 15 km has been retrieved, The results show that atmospheric CO2 concentrations retrieval is accurate in free troposphere by using the four channels. |
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| Keywords: | infrared carbon dioxide concentrations line-by-line integration retrieval |
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