DOI: 10.1002/jgrd.50521
论文题名: Advances in simultaneous atmospheric profile and cloud parameter regression based retrieval from high-spectral resolution radiance measurements
作者: Weisz E. ; Smith Sr. W.L. ; Smith N.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 12 起始页码: 6433
结束页码: 6443
语种: 英语
英文关键词: atmospheric retrievals
; cloud top height retrievals
; high-spectral satellite measurements
Scopus关键词: Acoustic devices
; Earth (planet)
; Geophysics
; Infrared devices
; Regression analysis
; Spectral resolution
; Accuracy and precision
; Atmospheric conditions
; Atmospheric retrieval
; Classification scheme
; Cloud top height retrieval
; High-quality products
; Real-time environment
; Satellite measurements
; Infrared instruments
; accuracy assessment
; AIRS
; algorithm
; atmospheric gas
; cloud cover
; geophysical method
; IASI
; meteorology
; ozone
; precision
; radiance
; real time
; satellite data
; spectral analysis
; spectral reflectance
; water vapor
英文摘要: The dual-regression (DR) method retrieves information about the Earth surface and vertical atmospheric conditions from measurements made by any high-spectral resolution infrared sounder in space. The retrieved information includes temperature and atmospheric gases (such as water vapor, ozone, and carbon species) as well as surface and cloud top parameters. The algorithm was designed to produce a high-quality product with low latency and has been demonstrated to yield accurate results in real-time environments. The speed of the retrieval is achieved through linear regression, while accuracy is achieved through a series of classification schemes and decision-making steps. These steps are necessary to account for the nonlinearity of hyperspectral retrievals. In this work, we detail the key steps that have been developed in the DR method to advance accuracy in the retrieval of nonlinear parameters, specifically cloud top pressure. The steps and their impact on retrieval results are discussed in-depth and illustrated through relevant case studies. In addition to discussing and demonstrating advances made in addressing nonlinearity in a linear geophysical retrieval method, advances toward multi-instrument geophysical analysis by applying the DR to three different operational sounders in polar orbit are also noted. For any area on the globe, the DR method achieves consistent accuracy and precision, making it potentially very valuable to both the meteorological and environmental user communities. Key Points Dual-regression provides reliable parameters from high-spectral radiances. Works with any polar-orbiting sounder (AIRS,IASI or CrIS). Retrieved cloud heights compare very well with cloud heights from CALIOP. © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63606
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, 1225 W. Dayton Street, Madison, WI 53706, United States
Recommended Citation:
Weisz E.,Smith Sr. W.L.,Smith N.. Advances in simultaneous atmospheric profile and cloud parameter regression based retrieval from high-spectral resolution radiance measurements[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(12)