首页> 外文期刊>Journal of atmospheric and oceanic technology >Independent Evaluation of the Ability of Spaceborne Radar and Lidar to Retrieve the Microphysical and Radiative Properties of Ice Clouds
【24h】

Independent Evaluation of the Ability of Spaceborne Radar and Lidar to Retrieve the Microphysical and Radiative Properties of Ice Clouds

机译:独立评估星载雷达和激光雷达检索冰云的微物理和辐射特性的能力

获取原文
获取原文并翻译 | 示例
           

摘要

The combination of radar and lidar in space offers the unique potential to retrieve vertical profiles of ice water content and particle size globally, and two algorithms developed recently claim to have overcome the principal difficulty with this approach—that of correcting the lidar signal for extinction. In this paper "blind tests" of these algorithms are carried out, using realistic 94-GHz radar and 355-nm lidar backscatter profiles simulated from aircraft-measured size spectra, and including the effects of molecular scattering, multiple scattering, and instrument noise. Radiation calculations are performed on the true and retrieved micro-physical profiles to estimate the accuracy with which radiative flux profiles could be inferred remotely. It is found that the visible extinction profile can be retrieved independent of assumptions on the nature of the size distribution, the habit of the particles, the mean extinction-to-backscatter ratio, or errors in instrument calibration. Local errors in retrieved extinction can occur in proportion to local fluctuations in the extinction-to-backscatter ratio, but down to 400 m above the height of the lowest lidar return, optical depth is typically retrieved to better than 0.2. Retrieval uncertainties are greater at the far end of the profile, and errors in total optical depth can exceed 1, which changes the shortwave radiative effect of the cloud by around 20%. Longwave fluxes are much less sensitive to errors in total optical depth, and may generally be calculated to better than 2 W m~(-2) throughout the profile. It is important for retrieval algorithms to account for the effects of lidar multiple scattering, because if this is neglected, then optical depth is underestimated by approximately 35%, resulting in cloud radiative effects being underestimated by around 30% in the shortwave and 15% in the longwave. Unlike the extinction coefficient, the inferred ice water content and particle size can vary by 30%, depending on the assumed mass-size relationship (a problem common to all remote retrieval algorithms). However, radiative fluxes are almost completely determined by the extinction profile, and if this is correct, then errors in these other parameters have only a small effect in the shortwave (around 6%, compared to that of clear sky) and a negligible effect in the longwave.
机译:雷达和激光雷达在太空中的组合提供了独特的潜力,可以在全球范围内检索冰水含量和粒径的垂直分布,最近开发的两种算法声称已克服了该方法的主要困难-校正激光雷达信号的灭绝。在本文中,对这些算法进行了“盲测”,使用了真实的94 GHz雷达和355 nm激光雷达后向散射轮廓,这些轮廓是通过飞机测得的尺寸光谱模拟得到的,其中包括分子散射,多重散射和仪器噪声的影响。在真实和检索到的微物理轮廓上执行辐射计算,以估计可远程推断辐射通量轮廓的准确性。发现可见的消光轮廓可以独立于大小分布的性质,颗粒的习性,平均消光与背向散射比或仪器校准误差的假设而获取。恢复的消光中的局部误差可能与消光/后向散射比的局部波动成比例出现,但是在最低激光雷达返回高度以上400 m处,光学深度通常可以恢复到优于0.2。剖面远端的检索不确定性更大,总光学深度的误差可能超过1,这将云的短波辐射效应改变了约20%。长波通量对总光学深度的误差不那么敏感,并且通常可以在整个剖面中将其计算为优于2 W m〜(-2)。对于检索算法而言,考虑激光雷达多次散射的影响非常重要,因为如果忽略它,那么光学深度将被低估大约35%,从而导致短波中的云辐射效应被低估大约30%,而在短波中被低估15%。长波。与消光系数不同,推断的冰水含量和颗粒大小可能相差30%,具体取决于假定的质量大小关系(所有远程检索算法共有的问题)。但是,辐射通量几乎完全由消光曲线决定,如果正确,则这些其他参数的误差在短波中仅产生很小的影响(与晴空相比大约为6%),而在短波中的影响可忽略不计。长波。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号