微波和红外辐射在云分析中的协同应用

L. Tabary, L. Eymard, A. Zȧvody
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引用次数: 2

摘要

云的分类和液态水含量的评估对空间气象和气候模拟有重要意义。使用光学测量(1)或微波辐射计(2)已经开发了许多方法。但是同时使用这两种技术的数量仍然很少,部分原因是两种测量在时间和地点上的重合问题(3)。使用微波辐射测量由于缺乏原位测量,很难建立和验证液态水检索算法,因此与光学方法获得的液态水含量进行比较是有趣的。光学方法考虑到反射率是反照率本身与光学深度相关的函数。此外,结合红外和可见光(或近可见光)通道可以实现云分类,这有助于开发微波算法。本初步研究利用ERS1上的微波辐射计(ATSWMWR)和红外仪器(ATSRAR)在时间和位置上的精确同步测量,对1992年7月获得的一些图像进行了光学和微波方法结果的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synergic Use Of Microwave And Infra-red Radiornetry For Cloud Analysis
Introduction The classification of clouds and the evaluation of liquid water content interest meteorology and climate modelling from space. Many methods have been developped using either optical measurements (1) or microwave radiometers (2). But the number of simultaneous use of both techniques remain poor partly due to the problem of coincidence in time and place of the two kinds of measurements (3). Using microwave radiometry it is quite difficult to establish and validate a liquid water retrieval algorithm due to the lack of in-situ measurements, so a comparison to liquid water content obtained by optical method is interesting. The optical approach takes into account the fact that the reflectance is a function of the albedo itself related to the optical depth. Moreover combining infrared and visible (or near-visible) channels enables a cloud classification which can help to develop microwave algorithm. This preliminary study takes benefit of the exactly coincident measurements in time and location of the micowave radiometer (ATSWMWR) and infrared instrument (ATSRAR) aboard ERS1, to compare the results of optical and microwave approaches on some images acquired in July 1992.
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