Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry
Aerosol Optical Depth (AOD) and the Ångström 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 Izaña Observatory (IZO) from Fourier Transform Infrared (FTIR) solar spectra....
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ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000125666 2023-05-15T13:07:05+02:00 Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry Barreto, Á. García, O. E. Schneider, Matthias García, R. D. Hase, F. Sepúlveda, E. Almansa, A. F. Cuevas, E. Blumenstock, Thomas 2020-11-04 application/pdf https://publikationen.bibliothek.kit.edu/1000125666 https://publikationen.bibliothek.kit.edu/1000125666/91901213 https://doi.org/10.5445/IR/1000125666 eng eng MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/RS12193148 info:eu-repo/semantics/altIdentifier/issn/2072-4292 https://publikationen.bibliothek.kit.edu/1000125666 https://publikationen.bibliothek.kit.edu/1000125666/91901213 https://doi.org/10.5445/IR/1000125666 https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess CC-BY Remote sensing, 12 (19), Art.-Nr.: 3148 ISSN: 2072-4292 aerosol optical depth Fourier transform infrared spectrometry atmospheric aerosols infrared remote sensing ddc:550 Earth sciences info:eu-repo/classification/ddc/550 doc-type:article Text info:eu-repo/semantics/article article info:eu-repo/semantics/publishedVersion 2020 ftubkarlsruhe https://doi.org/10.5445/IR/1000125666 https://doi.org/10.3390/RS12193148 2022-03-23T17:14:29Z Aerosol Optical Depth (AOD) and the Ångström 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 Izaña 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 ± ... Article in Journal/Newspaper Aerosol Robotic Network KITopen (Karlsruhe Institute of Technologie) |
institution |
Open Polar |
collection |
KITopen (Karlsruhe Institute of Technologie) |
op_collection_id |
ftubkarlsruhe |
language |
English |
topic |
aerosol optical depth Fourier transform infrared spectrometry atmospheric aerosols infrared remote sensing ddc:550 Earth sciences info:eu-repo/classification/ddc/550 |
spellingShingle |
aerosol optical depth Fourier transform infrared spectrometry atmospheric aerosols infrared remote sensing ddc:550 Earth sciences info:eu-repo/classification/ddc/550 Barreto, Á. García, O. E. Schneider, Matthias García, R. D. Hase, F. Sepúlveda, E. Almansa, A. F. Cuevas, E. Blumenstock, Thomas Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
topic_facet |
aerosol optical depth Fourier transform infrared spectrometry atmospheric aerosols infrared remote sensing ddc:550 Earth sciences info:eu-repo/classification/ddc/550 |
description |
Aerosol Optical Depth (AOD) and the Ångström 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 Izaña 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 ± ... |
format |
Article in Journal/Newspaper |
author |
Barreto, Á. García, O. E. Schneider, Matthias García, R. D. Hase, F. Sepúlveda, E. Almansa, A. F. Cuevas, E. Blumenstock, Thomas |
author_facet |
Barreto, Á. García, O. E. Schneider, Matthias García, R. D. Hase, F. Sepúlveda, E. Almansa, A. F. Cuevas, E. Blumenstock, Thomas |
author_sort |
Barreto, Á. |
title |
Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
title_short |
Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
title_full |
Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
title_fullStr |
Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
title_full_unstemmed |
Spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
title_sort |
spectral aerosol optical depth retrievals by ground-based fourier transform infrared spectrometry |
publisher |
MDPI |
publishDate |
2020 |
url |
https://publikationen.bibliothek.kit.edu/1000125666 https://publikationen.bibliothek.kit.edu/1000125666/91901213 https://doi.org/10.5445/IR/1000125666 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote sensing, 12 (19), Art.-Nr.: 3148 ISSN: 2072-4292 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/RS12193148 info:eu-repo/semantics/altIdentifier/issn/2072-4292 https://publikationen.bibliothek.kit.edu/1000125666 https://publikationen.bibliothek.kit.edu/1000125666/91901213 https://doi.org/10.5445/IR/1000125666 |
op_rights |
https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5445/IR/1000125666 https://doi.org/10.3390/RS12193148 |
_version_ |
1766034641801707520 |