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Cloud shortwave spectral transmittance: Applications in remote sensing and aerosol-cloud interactions.

机译:云短波光谱透射率:在遥感和气溶胶-云相互作用中的应用。

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摘要

A long record of cloud optical thickness and effective particle radius retrieved from cloud reflectance exists with no comparable dataset retrieved from cloud transmittance. This is due to a lack of sensitivity to the effective radius in cloud transmittance. A new algorithm that uses spectrally resolved cloud transmittance observations to retrieve optical thickness and effective radius is presented. The algorithm relies on the spectral slope of the normalized transmittance between 1565 nm and 1634 nm and on cloud transmittance at a visible wavelength. Using the spectral slope rather than the transmittance itself enhances the sensitivity of transmittance observations with respect to the effective radius. This is demonstrated by applying the algorithm to hyperspectral data from two field sites. The liquid water path is derived and compared to the simultaneous observations from a microwave radiometer and the optical thickness and effective radius are compared to MODIS retrievals. The algorithm was applied to ship-based observations in another field campaign, CalNex, which featured a day, 16 May 2010, of coordinated observations from a research ship and aircraft, providing the opportunity to compare retrievals from surface-based radiometers, an airborne radiometer, a satellite imager, and in-situ cloud probes. A statistical look at the cloud properties is presented and compared to previous studies. The retrievals and cloud transmittance are used to make observations of cloud transmittance susceptibility for the first time. Cloud transmittance susceptibility quantifies the change in cloud transmittance for a change in cloud droplet number concentration, thereby representing a possible change in cloud transmittance due to a change in aerosol burden.;The results of the two initial case studies showed that, in general, the effective radius uncertainties were much larger for the standard retrieval than for the spectral retrieval, particularly for thin clouds. When defining 2 μm as upper limit for the tolerable uncertainty of the effective radius, the standard method returned only very few valid retrievals for douds with an optical thickness below 25. At one field site (mean optical thickness 23), the spectral method provided valid retrievals for 84% of the data (24% for the standard method). At the other (mean optical thickness 44), both methods provided a high return of 90% for the spectral method and 78% for the standard method. The CalNex comparisons for 16 May 2010 showed that the agreement between the retrievals increased as the difference between the sampling volumes of the instruments decreased. The average in-situ reff (7.7 μm) fell between the average reff retrieved using the Atlantis-based SSFR radiance (5. 7 μm) and irradiance (9.5 μm). The statistical study of all clouds during CalNex showed a diurnal pattern observed in previous studies of marine boundary layer clouds. The climatology of cloud optical thickness and liquid water path was shown to be represented by a gamma distribution, consistent with previous studies of high cloud fraction marine boundary layer clouds. Model calculations of transmittance susceptibility showed that clouds are more susceptible as effective radius increases and less susceptible as optical thickness increases. The observations of cloud transmittance susceptibility show that the clouds encountered during CaiN ex were not highly susceptible. Comparisons to previous studies of cloud reflectance susceptibility also show this. Comparisons of observations in northern California and southern California show that the least susceptible clouds were in the south, where aerosol concentrations were higher at the surface, effective radius was smaller, optical thickness was larger than the observations in the north.
机译:从云层反射率获取的云层光学厚度和有效粒子半径的记录很长,而从云层透射率获取的数据集却没有可比性。这是由于对云透过率的有效半径缺乏敏感性。提出了一种新算法,该算法使用光谱解析的云层透射率观测值来检索光学厚度和有效半径。该算法依赖于1565 nm和1634 nm之间的归一化透射率的光谱斜率以及可见光波长下的云透射率。使用光谱斜率而不是透射率本身可以提高透射率观测值相对于有效半径的灵敏度。通过将算法应用于来自两个现场站点的高光谱数据可以证明这一点。得出液态水路径,并将其与微波辐射计的同时观测结果进行比较,并将光学厚度和有效半径与MODIS检索结果进行比较。该算法已在另一场野战活动CalNex中应用于基于船的观测,该活动于2010年5月16日作为一天,来自研究船和飞机的协调观测,为比较从基于表面的辐射计(机载辐射计)获取的数据提供了机会,卫星成像仪和原位云探测器。给出了云特性的统计数据,并将其与以前的研究进行了比较。首次使用反演和云层透射率观察云层透射率。云的透射率敏感性量化了云的透射率的变化,以反映云滴数浓度的变化,从而表示由于气溶胶负荷的变化而引起的云的透射率可能发生的变化。两项初步案例研究的结果表明,总体而言,标准检索的有效半径不确定度要比光谱检索的有效半径不确定度大得多,尤其是对于薄云而言。当将2μm定义为有效半径的不确定度的上限时,对于光学厚度小于25的圆头,标准方法仅返回很少的有效取回。在一个场点(平均光学厚度为23),光谱方法提供了有效的结果。检索84%的数据(标准方法为24%)。在另一种情况下(平均光学厚度44),这两种方法均提供了光谱方法90%的高收益率和标准方法78%的高收益率。 2010年5月16日的CalNex比较显示,随着仪器采样量之间的差异减小,两次检索之间的一致性也随之提高。平均原位反射率(7.7μm)介于使用基于Atlantis的SSFR辐射(5. 7μm)和辐照度(9.5μm)检索的平均反射率之间。 CalNex期间对所有云的统计研究表明,在以前的海洋边界层云研究中观察到了昼夜模式。云的光学厚度和液态水路径的气候学表现为伽马分布,与先前对高云分数海洋边界层云的研究一致。透射率磁化率的模型计算表明,随着有效半径的增加,云更容易受到影响,而随着光学厚度的增加,对云的影响也就较小。对云的透射率敏感性的观察表明,在CaiN ex期间遇到的云不是很敏感。与先前的云反射率敏感性研究的比较也表明了这一点。对北加利福尼亚州和南加利福尼亚州观测值的比较表明,与北部观测值相比,南部最不敏感的云是南部,那里的气溶胶浓度较高,有效半径较小,光学厚度较大。

著录项

  • 作者

    McBride, Patrick J.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Atmospheric Sciences.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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