跳到主要导航 跳到搜索 跳到主要内容

AIRS single field of view cloud detection and cloud property retrieval

  • Li Guan*
  • , Hung Lung Huang
  • , Jun Li
  • , Elisabeth Weisz
  • , Kevin Baggett
  • , James E. Davies
  • , Wei Gao
  • *此作品的通讯作者
  • University of Wisconsin-Madison
  • Nanjing University of Information Science & Technology
  • Colorado State University

科研成果: 期刊稿件会议文章同行评审

摘要

A great need exists amongst X-band direct broadcast regional users for near real-time, high spatial resolution cloud detection and cloud property retrieval to support regional interdisciplinary applications. As part of the International MODIS and AIRS Processing Package (IMAPP) 1, the objective treatment of spatial and spectral information, including principal component and residual techniques, is provided by the AIRS single field of view clear and cloud detection and cloud property retrieval algorithm. This algorithm, known as Minimum Local Emissivity Variance (MLEV) 2, is used to retrieve both cloud height and cloud spectral emissivity. The ECMWF model analysis is used to demonstrate that high quality clear radiances can improve the yield and quality of cloud spectral emissivity and height, quantities that are precursors to retrieving cloud micro-physical properties and cloudy sounding profiles. In this paper we describe in detail the procedure employed to achieve this goal. The use of cloud spectral emissivity and height in retrieving cloud microphysical properties is discussed together with their utility in identifying cloud contaminated soundings in the IMAPP AIRS only single field of view retrieval 3,4.

源语言英语
文章编号48
页(从-至)239-249
页数11
期刊Proceedings of SPIE - The International Society for Optical Engineering
5652
DOI
出版状态已出版 - 2004
已对外发布
活动Passive Optical Remote Sensing of Atmosphere and Clouds IV - Honolulu, HI, 美国
期限: 9 11月 200410 11月 2004

学术指纹

探究 'AIRS single field of view cloud detection and cloud property retrieval' 的科研主题。它们共同构成独一无二的学术指纹。

引用此