Cited by 18Atmospheric aerosols and cloudsAtmospheric chemistry and aerosolsAtmospheric Ozone and Climate

Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry

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Barreto, África, García, Omaira Elena, Schneider, Matthias, García, Rosa Delia, Hase, Frank, Sepúlveda, Eliezer, Almansa, Antonio Fernando, Cuevas, Emilio +1 more·2020·Remote Sensing

Abstract

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 ± 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.

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Authors
Barreto, Á., García, O. E., Schneider, M., García, R. D., Hase, F., Sepúlveda, E., Almansa, A. F., Cuevas, E., & Blumenstock, T.
Affiliations
  • Universidad de Valladolid (ES)
  • Agencia Estatal de Meteorología (ES)
  • Karlsruhe Institute of Technology (DE)
Corresponding author
Barreto, África
Venue
Remote Sensing
Publisher
MDPI AG
Published
2020-09-24
Volume
12
Issue
19
Pages
3148
ISSN
2072-4292 (ISSN-L)
OpenAlex
W3088976855
Cited by
18
References
0
Citations by year
2026: 1 · 2025: 1 · 2024: 1 · 2023: 7 · 2022: 2 · 2021: 6
FWCI
1.40
Type
journal article
Language
en
Open access
Locations
  • Remote Sensing (publishedVersion, cc-by)
  • Repository KITopen (Karlsruhe Institute of Technology) (submittedVersion, cc-by)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Arcimis (State Meteorological Agency) (submittedVersion, cc-by-nc-nd)
  • KITopen (cc-by)
Funders
  • European Commission (262254)
  • Ministerio de Economía y Competitividad (CGL2016, CGL2016-80688-P)
  • Kansainvälisen Liikkuvuuden ja Yhteistyön Keskus
  • Agencia Estatal de Meteorología
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric Ozone and Climate
Keywords
aerosol optical depth, Ångström exponent, FTIR spectroscopy, near-infrared, shortwave infrared, AERONET, calibration drift, mineral dust aerosols, Izaña Observatory, cross-validation

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