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CH_4 retrieval from hyperspectral satellite measurements in shortwave infrared: sensitivity study and preliminary test with GOSAT data 被引量:6
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作者 Jianbo Deng Yi Liu +1 位作者 Dongxu Yang Zhaonan Cai 《Chinese Science Bulletin》 SCIE EI CAS 2014年第14期1499-1507,共9页
One of the important science requirements of monitoring atmospheric methane abundances from hyperspectral measurements is to establish a highly accurate retrieval algorithm.This paper aimed to describe a retrieval alg... One of the important science requirements of monitoring atmospheric methane abundances from hyperspectral measurements is to establish a highly accurate retrieval algorithm.This paper aimed to describe a retrieval algorithm based on a series of sensitivity study with an effective and accurate forward model,which was applied to realize online calculation of absorption coefficient and backscattered solar radiance.The sensitivity study consisted of band selection,interference factors analysis,and retrieval model construction.The band selection analysis indicated that the 1.65 lm band(5,900–6,150 cm-1)associated with the 2.06 lm band(4,800–4,900 cm-1)retained more than 90%of the information content of CH4,CO2,and temperature,and more than 85%of that of H2O in the retrieval.Investigation of the interference factors showed that H2O,temperature,and CO2will cause unacceptable errors if they are not revised.This also showed that revising temperature and H2O with a profile model is more efficient than with a temperature offset and a H2O scale factor model.A preliminarily test using the Greenhouse gases Observing SATellite Level 1B spectral data indicated that most of the retrieval errors were less than 1%,which is acceptable for methane flux estimation. 展开更多
关键词 检索算法 高光谱 敏感性 短波红外 卫星测量 甲烷 测试 正演模型
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