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Comparison of SCIAMACHY and AIRS CO_2 measurements over China from 2003 to 2005

机译:2003年至2005年中国SCIAMACHY和AIRS CO_2测量值的比较

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摘要

Increased CO_2 (carbon dioxide) has been considered as one of key factors of global warming. Intending to describe the capability of CO_2 measurement by space-borne sensors quantitatively, this paper compares two data sets of CO_2 monthly products retrieved from AIRS and SCIAMACHY over China from 2003 to 2005. The increasing trend of CO_2 concentration can be detected consistently from both of the data sets. However, the seasonal variation of AIRS CO_2 is larger than SCIAMACHY CO_2 because the former represents CO_2 existing in the mid-troposphere while the latter represents in the lower-troposphere. CO_2 concentration reaches its yearly maximum in spring (April and May) and reaches its yearly minimum in late-autumn and winter (October to December and January) for both data sets. The coverage of AIRS monthly CO_2 is much better than that of SCIAMACHY over China and it shows that Xinjiang, Tibet, Inner Mongolia and northeast China have higher values than other regions in China especially in April and May due to local climate and vegetation growth process.
机译:CO_2(二氧化碳)增加已被认为是全球变暖的关键因素之一。为了定量描述星载传感器对CO_2的测量能力,本文比较了2003年至2005年从AIRS和SCIAMACHY在中国获得的两个CO_2月度产品数据集。数据集。但是,AIRS CO_2的季节变化大于SCIAMACHY CO_2,因为前者代表对流层中部存在的CO_2,而后者则代表对流层中部。对于这两个数据集,CO_2浓度在春季(4月和5月)达到其年度最大值,在秋季和冬季(10月至12月和1月)达到其年度最小值。在中国,AIRS每月CO_2的覆盖范围比SCIAMACHY的要好得多,这表明新疆,西藏,内蒙古和东北地区的价值高于中国其他地区,特别是在4月和5月,这是由于当地的气候和植被生长过程所致。

著录项

  • 来源
  • 会议地点 San Diego CA(US)
  • 作者单位

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China;

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China;

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China;

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China;

    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai, 200062, China USDA UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 遥感技术;
  • 关键词

    carbon dioxide (CO_2); AIRS; SCIAMACHY; spatiotemporal distribution;

    机译:二氧化碳(CO_2); AIRS; SCIAMACHY;时空分布;
  • 入库时间 2022-08-26 13:45:15

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