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A radiative analysis of angular signatures and oblique radiance retrievals over the polar regions from the multi-angle imaging spectroradiometer.

机译:对来自多角度成像光谱仪的极区上的角度特征和倾斜辐射取回进行辐射分析。

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摘要

This dissertation studies clouds over the polar regions using the Multi-angle Imaging SpectroRadiometer (MISR) on-board EOS-Terra. Historically, low thin clouds have been problematic for satellite detection, because these clouds have similar brightness and temperature properties to the surface they overlay. However, the oblique angles of MISR observe great contrast between these clouds and any underlying surface. This work demonstrates how the MISR instrument can contribute to our understanding of clouds in the polar regions.This dissertation makes the following key contributions to science: (1) With the aid of the MODerate Resolution atmospheric TRANsmission (MODTRAN) radiative transfer model, this dissertation provides the first explanation of the conditions that lead to the brighter or darker appearance of clouds relative to the surface at nadir by introducing the transition albedo. The transition albedo shows that clouds darken the surface under three conditions: (1) high surface albedos, (2) high solar zenith angles (low sun), and (3) thin clouds. Thin clouds over the polar regions fit all three criteria, and are therefore more likely to be missed by visible satellite retrievals. (2) This dissertation uses the MODTRAN model to explain the angular distribution of relative brightness between clouds and the snow surface through differences in absorption and sphericity of particles that make up clouds and snow surfaces. The effects of sphericity and absorption suggest that low level clouds appear bright at oblique forward-scattered angles because of the presence of small, spherical droplets. (3) This dissertation provides the first evaluation of several popular ice surface reflectance models in MODTRAN using MISR observations as model restraints. The Lambertian model is shown to underpredict BRF values in the blue and green bands unless au unrealistically thick aerosol layer is included. The Hapke 3-Parameter Model contained several programming errors which could not be completely resolved for bright surfaces. The Mishchenko Radiative Transfer Solution for Flat Layers outperformed both the Lambertian and Hapke models, but overpredicted forward scattering and underpredicted backscatter. The use of a Koch Fractal model decreased forward scattering, but still failed to catch the increase in backscatter noted in MISR retrievals. (4) This dissertation develops the Angular Signature Cloud Mask (ASCM) into a standard MISR product and evaluates the performance through global and regional analyses. The Band-Differenced Angular Signature (BDAS) uses the oblique cameras from MISR in the direction of forward-scattered radiation, for which low clouds over ice are a strength. The Angular Signature Cloud Mask (ASCM) applies thresholds to the BDAS to determine whether clouds are present for any given pixel. The Support Vector Machine (SVM) is used as a truth dataset for comparison to the ASCM. Agreement rates between the SVM and ASCM were 80.2% over water, 76.0% over land, and 90.0% over ice-covered surfaces.
机译:本文使用车载EOS-Terra多角度成像光谱辐射仪(MISR)研究极地地区的云。从历史上看,低稀薄的云层对于卫星检测一直存在问题,因为这些云层与其覆盖的表面具有相似的亮度和温度特性。但是,MISR的倾斜角在这些云层和任何下层表面之间观察到很大的对比度。这项工作证明了MISR仪器如何有助于我们了解极地地区的云。本文对科学做出了以下主要贡献:(1)借助中等分辨率大气传输(MODTRAN)辐射传输模型,本文通过引入过渡反照率,对导致云层相对于最低点的表面出现更亮或更暗的条件提供了第一个解释。过渡反照率表明,在以下三种情况下,云会使表面变暗:(1)高表面反照率;(2)高太阳天顶角(低太阳角);以及(3)薄云。极地上空的薄云符合所有这三个标准,因此可见卫星检索更容易遗漏。 (2)本文利用MODTRAN模型通过云和雪表面的颗粒的吸收和球形度差异来解释云和雪表面之间相对亮度的角分布。球形性和吸收性的影响表明,由于存在小的球形液滴,低层云在倾斜的向前散射角处显得明亮。 (3)本文以MISR观测为模型约束,对MODTRAN中几种常用的冰面反射率模型进行了首次评估。除非包括了不切实际的较厚的气溶胶层,否则Lambertian模型显示会低估蓝色和绿色波段中的BRF值。 Hapke 3参数模型包含一些编程错误,对于明亮的表面无法完全解决。平坦层的Mishchenko辐射传递解决方案优于Lambertian模型和Hapke模型,但预测了前向散射而预测了后向散射。 Koch分形模型的使用减少了前向散射,但仍未能赶上MISR检索中注意到的反向散射的增加。 (4)本文将角签名云遮罩(ASCM)开发为标准的MISR产品,并通过全球和区域分析评估其性能。波段差异角签名(BDAS)使用MISR的倾斜相机在向前散射辐射的方向上进行拍摄,为此,冰上的低云很重要。角度签名云遮罩(ASCM)将阈值应用于BDAS,以确定是否存在任何给定像素的云。支持向量机(SVM)用作与ASCM比较的真值数据集。 SVM和ASCM之间的协议达成率是水上80.2%,土地76.0%,冰覆表面90.0%。

著录项

  • 作者

    Wilson, Michael Jason.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Atmospheric Sciences.Remote Sensing.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 247 p.
  • 总页数 247
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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