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首页> 外文学位 >Refinement of calipso aerosol retrieval models through analysis of airborne high spectral resolution lidar data.
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Refinement of calipso aerosol retrieval models through analysis of airborne high spectral resolution lidar data.

机译：通过分析机载高光谱分辨率激光雷达数据，改进卡利普索气溶胶回收模型。

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摘要

The deepening of scientific understanding of atmospheric aerosols figures substantially into stated goals for climate change research and a variety of internationally collaborative earth observation missions. One such mission is the joint NASA/Centre National d'Etudes Spatiales (CNES) Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, whose primary instrument is the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), a spaceborne two-wavelength, elastic-scatter lidar, which has been making continuous, global observations of atmospheric aerosols and clouds since June of 2006, shortly after its launch in April of the same year.;The work presented in this dissertation consists of the development of an aerosol retrieval strategy to improve aerosol retrievals from lidar data from the CALIPSO mission, as well as a comprehensive formulation of accompanying aerosol models based on a thorough analysis of data from an airborne High Spectral Resolution Lidar (HSRL) instrument. The retrieval methodology, known as the Constrained Ratio Aerosol Model-fit (CRAM) technique, is a means of exploiting the available dual-wavelength information from CALIOP to constrain the possible solutions to the problem of aerosol retrieval from elastic-scatter lidar so as to be consistent with theoretically or empirically known aerosol models. Constraints applied via CRAM are manifested in spectral ratios of scattering parameters corresponding to observationally-based aerosol models. Consequently, accurate and representative models incorporating various spectral scattering parameters are instrumental to the successful implementation of a methodology like CRAM.;The aerosol models arising from this work are derived from measurements made by the NASA Langley Research Center (LaRC) airborne HSRL instrument, which has the capability to measure both aerosol scattering parameters (i.e., backscatter and extinction) independently at 532 nm. The instrument also incorporates an elastic-scatter channel at 1064 nm, facilitating the incorporation of dual-wavelength information by way of particular constraints. The intent in developing these new models is to furnish as satisfactory a basis as possible for retrieval techniques such as CRAM, whose approach to the problem of aerosol retrieval attempts to make optimal use of the available spectral information from multi-wavelength lidar, thus providing a framework for improving aerosol retrievals from CALIPSO and furthering the scientific goals related to atmospheric aerosols.
机译：对大气气溶胶的科学理解的加深，实质上是气候变化研究和各种国际合作的地球观测任务的既定目标。其中一项任务是NASA /中央国立航天大学（CNES）的云气溶胶激光雷达和红外探路者卫星观测（CALIPSO）联合任务，其主要仪器是具有正交偏振的云气溶胶激光雷达（CALIOP），这是一种星载两个波长，弹性散射激光雷达，自2006年6月（即同年4月发射后不久）开始对大气气溶胶和云层进行连续的全球观测。气溶胶回收策略，可改善从CALIPSO任务获得的激光雷达数据中的气溶胶回收率，并基于对机载高光谱分辨率激光雷达（HSRL）仪器数据的全面分析，对伴随的气溶胶模型进行全面制定。这种检索方法称为约束比率气溶胶模型拟合（CRAM）技术，是一种利用来自CALIOP的可用双波长信息来约束从弹性散射激光雷达中气溶胶检索问题的可能解决方案的方法，与理论上或经验上已知的气溶胶模型保持一致。通过CRAM施加的约束表现为散射参数的光谱比率，该比率对应于基于观测的气溶胶模型。因此，结合了各种光谱散射参数的准确且具有代表性的模型对于成功实施CRAM这样的方法至关重要。这项工作产生的气溶胶模型源自NASA兰利研究中心（LaRC）机载HSRL仪器的测量结果，具有测量532 nm处两个气溶胶散射参数（即反向散射和消光）的能力。该仪器还包含一个在1064 nm处的弹性散射通道，通过特殊的限制可以促进双波长信息的合并。开发这些新模型的目的是为诸如CRAM之类的检索技术提供尽可能令人满意的基础，该技术对气溶胶检索问题的尝试试图最佳利用多波长激光雷达的可用光谱信息，从而提供一种改善CALIPSO的气溶胶回收并促进与大气气溶胶有关的科学目标的框架。

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  • 作者

    McPherson, Christopher J.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Physics Optics.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 163 p.
  • 总页数 163
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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