干旱区生态环境知识资源中心(Arid): Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry

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DOI	10.3390/rs12193148
	Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry
	Barreto, Africa; Garcia, Omaira Elena; Schneider, Matthias; Garcia, Rosa Delia; Hase, Frank; Sepulveda, Eliezer; Almansa, Antonio Fernando; Cuevas, Emilio; Blumenstock, Thomas
通讯作者	Barreto, A
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:19
英文摘要	Aerosol Optical Depth (AOD) and the angstrom ngstrom Exponent (AE) have been calculated in the near infrared (NIR) and short-wave infrared (SWIR) spectral regions over a period of one year (May 2019-May 2020) at the high-mountain Izana Observatory (IZO) from Fourier Transform Infrared (FTIR) solar spectra. The high-resolution FTIR measurements were carried out coincidentally with Cimel CE318-T photometric observations in the framework of the Aerosol Robotic Network (AERONET). A spectral FTIR AOD was generated using two different approaches: by means of the selection of seven narrow FTIR micro-windows (centred at 1020.90, 1238.25, 1558.25, 1636.00, 2133.40, 2192.00, and 2314.20 nm) with negligible atmospheric gaseous absorption, and by using the CE318-AERONET's response function in the near-coincident bands (1020 nm and 1640 nm) to degrade the high-resolution FTIR spectra. The FTIR system was absolutely calibrated by means of a continuous Langley-Plot analysis over the 1-year period. An important temporal drift of the calibration constant was observed as a result of the environmental exposure of the FTIR's external optical mirrors (linear degradation rate up to 1.75% month-1). The cross-validation of AERONET-FTIR databases documents an excellent agreement between both AOD products, with mean AOD differences below 0.004 and root-mean-squared errors below 0.006. A rather similar agreement was also found between AERONET and FTIR convolved bands, corroborating the suitability of low-resolution sunphotometers to retrieve high-quality AOD data in the NIR and SWIR domains. In addition, these results demonstrate that the methodology developed here is suitable to be applied to other FTIR spectrometers, such as portable and low-resolution FTIR instruments with a potentially higher spatial coverage. The spectral AOD dependence for the seven FTIR micro-windows have been also examined, observing a spectrally flat AOD behaviour for mineral dust particles (the typical atmospheric aerosols presented at IZO). A mean AE value of 0.53 +/- 0.08 for pure mineral dust in the 1020-2314 nm spectral range was retrieved in this paper. A subsequent cross-validation with the MOPSMAP (Modeled optical properties of ensembles of aerosol particles) package has ensured the reliability of the FTIR dataset, with AE values between 0.36 to 0.60 for a typical mineral dust content at IZO of 100 cm-3 and water-soluble particle (WASO) content ranging from 600 to 6000 cm-3. The new database generated in this study is believed to be the first long-term time series (1-year) of aerosol properties generated consistently in the NIR and SWIR ranges from ground-based FTIR spectrometry. As a consequence, the results presented here provide a very promising tool for the validation and subsequent improvement of satellite aerosol products as well as enhance the sensitivity to large particles of the existing databases, required to improve the estimation of the aerosols' radiative effect on climate.
英文关键词	aerosol optical depth Fourier transform infrared spectrometry atmospheric aerosols infrared remote sensing
类型	Article
语种	英语
开放获取类型	Green Submitted, Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000587195400001
WOS关键词	SAHARAN AIR LAYER ; HIGH-RESOLUTION ; DESERT DUST ; SUN PHOTOMETER ; SPECTROSCOPIC MEASUREMENTS ; TROPOSPHERIC AEROSOL ; SIZE DISTRIBUTION ; SOLAR-RADIATION ; MINERAL DUST ; IRRADIANCE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327388
作者单位	[Barreto, Africa; Garcia, Omaira Elena; Garcia, Rosa Delia; Sepulveda, Eliezer; Almansa, Antonio Fernando; Cuevas, Emilio] State Meteorol Agcy Spain AEMET, Izana Atmospher Res Ctr IARC, Santa Cruz De Tenerife 38001, Spain; [Barreto, Africa; Almansa, Antonio Fernando] Cimel Elect, F-75011 Paris, France; [Barreto, Africa; Garcia, Rosa Delia; Almansa, Antonio Fernando] Valladolid Univ, Atmospher Opt Grp Valladolid Univ GOA UVa, Valladolid 47001, Spain; [Schneider, Matthias; Hase, Frank; Blumenstock, Thomas] Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res IMK ASF, D-76021 Karlsruhe, Germany
推荐引用方式 GB/T 7714	Barreto, Africa,Garcia, Omaira Elena,Schneider, Matthias,et al. Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry[J],2020,12(19).
APA	Barreto, Africa.,Garcia, Omaira Elena.,Schneider, Matthias.,Garcia, Rosa Delia.,Hase, Frank.,...&Blumenstock, Thomas.(2020).Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry.REMOTE SENSING,12(19).
MLA	Barreto, Africa,et al."Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry".REMOTE SENSING 12.19(2020).