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The spatial-scale dependence of the observed anisotropy of reflected and emitted radiation.

机译:观测到的反射和发射辐射的各向异性的空间比例依赖性。

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摘要

The Earth Radiation Budget Experiment (ERBE) uses Angular Dependence Models (ADMs) to convert satellite observed radiances to radiative fluxes at the top of the atmosphere. Owing to errors in scene identification and to the relationship between the spatial scales of cloud systems and the spatial resolution of the ERBE scanner, the anisotropy of the radiation fields determined from ERBE observations was suspected of exhibiting a field of view size dependence. In order to remove effects due to the spatial scale of cloud fields, ERBE scanner observations from the Earth Radiation Budget Satellite (ERBS) were averaged to construct observations having a constant size field of view for all scan angles. Comparing the anisotropy for constant size fields of view with that obtained using unaltered full-resolution scanner observations, it was found that there were significant and systematic differences of the order of 5-10% for all scene types.; The frequencies of occurrence for clear, partly cloudy, mostly cloudy and overcast cloud categories identified by the ERBE scene identification algorithm were calculated for the constant size field of view observations. It was found that the ERBE scene identification method failed to correctly identify scene types. A bispectral threshold method was developed for scene identification. In the determination of the thresholds, the ERBE scene identification method was assumed to be correct for nadir observations. The thresholds were then determined so that the population of scene types remained constant from nadir to limb for the constant size field of view observations. ADMs were developed using the threshold scene identification method. Results showed that the spatial-scale dependence of the ADMs was significantly reduced. The threshold ADMs satisfied the principle of reciprocity more closely than did the ERBE ADMs for all cloud categories. Using the threshold scene identification, the view zenith angle dependence of the global average albedo and the longwave flux were significantly reduced compared with those obtained using the ERBE scene identification. The estimated global average albedo increases from 0.282 for the ERBE algorithm to 0.299 for the threshold algorithm. There was no significant change for the value of the estimated longwave flux.
机译:地球辐射预算实验(ERBE)使用角度相关模型(ADM)将卫星观测到的辐射转换为大气顶部的辐射通量。由于场景识别中的错误以及云系统的空间尺度与ERBE扫描仪的空间分辨率之间的关系,因此怀疑从ERBE观测值确定的辐射场的各向异性表现出视场大小依赖性。为了消除由于云场的空间规模引起的影响,对来自地球辐射预算卫星(ERBS)的ERBE扫描仪观测值进行平均,以构建对所有扫描角度均具有恒定大小视场的观测值。将恒定尺寸视场的各向异性与使用未更改的全分辨率扫描仪观测所获得的各向异性进行比较,发现对于所有场景类型,系统差异均在5-10%左右。对于恒定大小的视场观测,计算了通过ERBE场景识别算法识别出的清晰,部分多云,大部分多云和阴云类别的出现频率。发现ERBE场景识别方法无法正确识别场景类型。开发了用于场景识别的双谱阈值方法。在确定阈值时,假设ERBE场景识别方法对于最低点观测是正确的。然后确定阈值,以便对于恒定大小的视野观察,场景类型的总体从最低点到四肢保持恒定。使用阈值场景识别方法开发了ADM。结果表明,ADM的空间尺度依赖性显着降低。对于所有云类别,阈值ADM都比ERBE ADM更满足互惠原则。与使用ERBE场景识别相比,使用阈值场景识别可以显着降低整体平均反照率和长波通量的视天顶角依赖性。估计的全球平均反照率从ERBE算法的0.282增加到阈值算法的0.299。估计的长波通量的值没有明显变化。

著录项

  • 作者

    Ye, Qian.;

  • 作者单位

    Oregon State University.;

  • 授予单位 Oregon State University.;
  • 学科 Physics Atmospheric Science.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

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