DOI: 10.1002/2013JD020090
论文题名: New approaches to removing cloud shadows and evaluating the 380 nm surface reflectance for improved aerosol optical thickness retrievals from the GOSAT/TANSO-Cloud and Aerosol Imager
作者: Fukuda S. ; Nakajima T. ; Takenaka H. ; Higurashi A. ; Kikuchi N. ; Nakajima T.Y. ; Ishida H.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 24 起始页码: 13520
结束页码: 13531
语种: 英语
英文关键词: aerosol
; remote sensing
; satellite
Scopus关键词: Aerosols
; Algorithms
; Greenhouse gases
; Infrared detectors
; Optical properties
; Remote sensing
; Satellites
; Ultraviolet spectroscopy
; Aerosol optical thickness retrieval
; Aerosol retrieval algorithms
; Correction algorithms
; Correction techniques
; Greenhouse gases observing satellites
; Near-infrared sensors
; Surface reflectance
; Visible wavelengths
; Reflection
; aerosol
; algorithm
; cloud
; GOSAT
; optical property
; radiometer
; Rayleigh number
; remote sensing
; satellite imagery
; surface reflectance
; wavelength
英文摘要: A satellite aerosol retrieval algorithm was developed to utilize a near-ultraviolet band of the Greenhouse gases Observing SATellite/Thermal And Near infrared Sensor for carbon Observation (GOSAT/TANSO)-Cloud and Aerosol Imager (CAI). At near-ultraviolet wavelengths, the surface reflectance over land is smaller than that at visible wavelengths. Therefore, it is thought possible to reduce retrieval error by using the near-ultraviolet spectral region. In the present study, we first developed a cloud shadow detection algorithm that uses first and second minimum reflectances of 380 nm and 680 nm based on the difference in Rayleigh scattering contribution for these two bands. Then, we developed a new surface reflectance correction algorithm, the modified Kaufman method, which uses minimum reflectance data at 680 nm and the NDVI to estimate the surface reflectance at 380 nm. This algorithm was found to be particularly effective at reducing the aerosol effect remaining in the 380 nm minimum reflectance; this effect has previously proven difficult to remove owing to the infrequent sampling rate associated with the three-day recursion period of GOSAT and the narrow CAI swath of 1000 km. Finally, we applied these two algorithms to retrieve aerosol optical thicknesses over a land area. Our results exhibited better agreement with sun-sky radiometer observations than results obtained using a simple surface reflectance correction technique using minimum radiances. Key Points aerosol retrieval algorithm algorithm with use of TANSO-CAI is written. A new approach for detecting cloud shadow rejction is shown here. A new aproach for estimating the albedo at 380 nm is descriped. ©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/63086
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: Earth Observation Research Center, Japan Aerospace Exploration Agency, Ibaraki, 305-8505, Japan; Atmosphere and Ocean Research Institute, University of Tokyo, Chiba, Japan; National Institute for Environmental Studies, Ibaraki, Japan; E and e Solutions Inc., Tokyo, Japan; Research and Information Center, Tokai University, Tokyo, Japan; Department of Mechanical Engineering, Yamaguchi University, Yamaguchi, Japan
Recommended Citation:
Fukuda S.,Nakajima T.,Takenaka H.,et al. New approaches to removing cloud shadows and evaluating the 380 nm surface reflectance for improved aerosol optical thickness retrievals from the GOSAT/TANSO-Cloud and Aerosol Imager[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(24)