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| 探讨利用SCIAMACHY数据反演温室气体二氧化碳 | |
| 引用本文： | 廖秀英,孙九林,吕宁,王卷乐,程辉.探讨利用SCIAMACHY数据反演温室气体二氧化碳[J].地球物理学进展,2012,27(3):837-845. |
| 作者姓名： | 廖秀英 孙九林 吕宁 王卷乐 程辉 |
| 作者单位： | 1. 中国科学院地理科学与资源环境研究所,北京100101;湖南科技大学建筑与城乡规划学院,湘潭411201;中国科学院研究生院,北京100049 2. 中国科学院地理科学与资源环境研究所,北京,100101 3. 湖南科技大学建筑与城乡规划学院,湘潭,411201 |
| 基金项目： | 环保公益性行业科研专项，湖南省教育厅项目 |
| 摘 要： | 自工业革命以来CO2已经成为引起全球气候变暖的一种最主要的人为温室气体,由此引起的全球气候变化是当今社会经济可持续发展面临的最严峻挑战之一.为了更好的研究二氧化碳在时间与空间尺度上的格局及变化,综合分析CO2与太阳辐射、地面反照率、气溶胶等要素之间的关系,本文回顾了以往利用新型卫星传感器获取多源遥感数据的特点,分析了多种反演计算方法的优缺点,并结合地面实测数据进行对比分析的方法与理论,全面阐述国际上有关CO2柱浓度反演的思想.作者认为目前在地面观测站较少的情况下,针对先进的SCIAMACHY传感器数据利用DOAS相关算法及BESD算法进行CO2柱体浓度反演的数据连续,技术成熟,并由此提出了下一步工作中应解决的3个问题. |
| 关 键 词： | 气候变化 SCIAMACHY数据 DOAS与BESD算法 CO2反演 |
Discussion on Atmospheric CO2 Retrieval Using SCIAMACHY Data |
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| LIAO Xiu-ying , SUN Jiu-lin , LU Ning , WANG Juan-le , CHENG Hui.Discussion on Atmospheric CO2 Retrieval Using SCIAMACHY Data[J].Progress in Geophysics,2012,27(3):837-845. | |
| Authors: | LIAO Xiu-ying SUN Jiu-lin LU Ning WANG Juan-le CHENG Hui |
| Institution: | 1.Institut of Geographic Sciences and Natural Resources Research,Beijing 100101,China; 2.Schools of Architecture and Urban Planning,Hunan University of Science and Technology,Xiangtan 411201,China; 3.Graduate Universit of Chinese Academy of Sciences,Beijing 100049,China) |
| Abstract: | Carbon dioxide(CO2) which has increased more than 30% since Industrial Revolution is an important anthropogenic greenhouse gas and will contribute to global warm climate.The global climate change is one huge challenge in today’s sustainable socio-economic development.SCIAMACHY is sensitive to CO2 concentration change and can be used to detect CO2 at all altitude levels down to the Earth’s surface.SCIATRAN uses the Finite Difference Method to solve the monochromatic,scalar radiative transfer equation.Weighting Function Modified Differential Optical Absorption Spectroscopy(WFM-DOAS) is a modified DOAS algorithm used for retrieval of trace gas column amounts from SCIAMACHY data.WFM-DOAS is based on fitting radiative transfer model radiance Imodi plus a low-order polynomial Pl to the logarithm observed sun-normalized radiance Iobsi.This method is effective to recover the CO2 column amounts.Another advanced retrieval algorithm called Bremen optimal Estimation DOAS(BESD).BESD permits to take uncertain a-priori information into account to constrain the retrieval,such as aerosols and cirrus clouds.In order to do research on the distribution and change in time and spatial scale of the main greenhouse gases,Comprehensive analysis between CO2 and key elements such as solar radiation,surface albedo and aerosols.The paper has been reviewed using series of new sensors multi-source remote sensing data and several retrieval methods to do mathematical calculation and analysis and compare to field measurement data.The author thinks that in today’s condition,there are limited field measurement stations,and according to the advanced sensor SCIAMACHY data,using the former mentioned model SCIATRAN and the WFM-DOAS,BESD algorithms to retrieve the CO2 in China is possible,and has put forward some questions that should be solved in future work. |
| Keywords: | Climate Change SCIAMACHY Data DOAS and BESD Algorithm CO2 Retrieval0 |
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