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改进的地基红外超光谱数据痕量气体反演方法 被引量:4

Improved Retrieval Algorithm of Trace Gas from Ground-Based Infrared Ultraspectral Data
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摘要 利用地基探测仪器监测大气痕量气体的区域分布及动态变化,对于有效评估和预测局部地区的大气环境以及星载大气成分探测仪器性能指标的提出具有重要的意义。在现有痕量气体反演算法SFIT2的基础上,通过改进最优化寻优策略,建立了基于信赖域的痕量气体反演的新模型,解决了实际应用中大气先验信息与实际状况差异较大时的算法全局收敛性问题,实现了大气参数获取困难时痕量气体的有效反演。基于北京地区9~10月间地基红外超光谱数据,对大气中重要痕量气体CO的柱状总量和混合比廓线进行了反演实验,结果表明,该改进反演模型的有效性,能够为后续研究痕量气体含量的变化规律及其对环境、气候的影响程度提供支持。 Ground-based monitoring of the distributions and dynamic change in local area of trace gases can play an important role in pridicting the local atmosphere and designing the space-based instruments for sounding atmospheric moleculars.Based on the trace gas inversion algorithm SFIT2,the optimization process is improved and a novel inversion model is developed based on truth region method.A solution to the convergence of algorithm when the a prior i and true atmospheric information have great differences is found,and effective inversion of trace gases is realized when atmospheric parameters are hard to get.The total column amount and the volume mixing ratio of carbon monoxide are retrieved from the ground-based infrared ultraspectral data during September and October in Beijing.The results improve the validity of this modified algorithm and the ability for understanding the trace gases and their effects on environment and climate.
出处 《光学学报》 EI CAS CSCD 北大核心 2011年第7期10-14,共5页 Acta Optica Sinica
基金 国家863计划(2008AA12A201) 长江学者和创新团队发展计划(IRT0705)资助课题
关键词 遥感 反演 最优化 混合比廓线 remote sensing retrieval optimization volume mixing ratio profile
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