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

doi:10.1117/12.578081

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

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Article number	48
Pages (from-to)	239-249
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5652
DOIs	https://doi.org/10.1117/12.578081
State	Published - 2004
Externally published	Yes
Event	Passive Optical Remote Sensing of Atmosphere and Clouds IV - Honolulu, HI, United States Duration: 9 Nov 2004 → 10 Nov 2004

Keywords

AIRS
Clear/Cloudy Channel Detection
MLEV

Access to Document

10.1117/12.578081

Cite this

@article{7612abccd3fa4b0297bb18ecaf06a9d5,

title = "AIRS single field of view cloud detection and cloud property retrieval",

abstract = "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.",

keywords = "AIRS, Clear/Cloudy Channel Detection, MLEV",

author = "Li Guan and Huang, \{Hung Lung\} and Jun Li and Elisabeth Weisz and Kevin Baggett and Davies, \{James E.\} and Wei Gao",

year = "2004",

doi = "10.1117/12.578081",

language = "英语",

volume = "5652",

pages = "239--249",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Passive Optical Remote Sensing of Atmosphere and Clouds IV ; Conference date: 09-11-2004 Through 10-11-2004",

}

TY - JOUR

T1 - AIRS single field of view cloud detection and cloud property retrieval

AU - Guan, Li

AU - Huang, Hung Lung

AU - Li, Jun

AU - Weisz, Elisabeth

AU - Baggett, Kevin

AU - Davies, James E.

AU - Gao, Wei

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - AIRS

KW - Clear/Cloudy Channel Detection

KW - MLEV

UR - https://www.scopus.com/pages/publications/20344408078

U2 - 10.1117/12.578081

DO - 10.1117/12.578081

M3 - 会议文章

AN - SCOPUS:20344408078

SN - 0277-786X

VL - 5652

SP - 239

EP - 249

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 48

T2 - Passive Optical Remote Sensing of Atmosphere and Clouds IV

Y2 - 9 November 2004 through 10 November 2004

ER -

AIRS single field of view cloud detection and cloud property retrieval

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this