Advanced constituent retrieval algorithms for composition and aerosol measurement and instrument development

用于成分和气溶胶测量以及仪器开发的先进成分检索算法

• 批准号: 391541-2012
• 负责人: McElroy, Tom
• 金额: $ 1.97万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507696
• 关键词: Advanced; constituent; retrieval; algorithms; composition

Limited knowledge about the role of upper tropospheric ozone and atmospheric aerosol in the Earth's radiation balance are the two largest uncertainties of the drivers behind climate change. The global distribution of ozone and aerosol must be determined by remote sounding from space. However, ground-based remote-sounding measurements remain important references in the development of improved measurement methodologies and new instruments. The ground-based observations - AERONET for aerosol and the Dobson and Brewer networks in the case of column ozone and ozonesondes for vertical profiling of ozone - provide crude spatial distributions and reference data for space measurements.

对对流层上层臭氧和大气气溶胶在地球辐射平衡中的作用的了解有限，这是气候变化背后驱动因素的两个最大的不确定性。 臭氧和气溶胶的全球分布必须通过太空远程探测来确定。 然而，地面遥测测量仍然是开发改进测量方法和新仪器的重要参考。 地面观测——气溶胶的 AERONET 以及柱状臭氧的多布森和布鲁尔网络以及臭氧垂直剖面的臭氧探空仪——为空间测量提供了粗略的空间分布和参考数据。