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.

Highlights

  • Atmospheric aerosols are considered as an “essential climate variable” by the Global Climate Observing System (GCOS) World Meteorological Organization (WMO) programme [1], exerting an important influence on the Earth–atmosphere radiative balance

  • A total of 29 high-quality Langley–Plots have been obtained at the seven Fourier Transform Infrared (FTIR) spectral bands between May 2019 and May 2020, with similar and high coefficients of correlation (R) and standard deviations of the fitting analysis reaching the Toledano’s criterion

  • The high-resolution FTIR solar spectra are relevant for climate studies, as they provide simultaneous information on fine absorption structures and broadband continuum signatures across the entire IR domain

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Summary

Introduction

Atmospheric aerosols are considered as an “essential climate variable” by the Global Climate Observing System (GCOS) World Meteorological Organization (WMO) programme [1], exerting an important influence on the Earth–atmosphere radiative balance. It is well known that most aerosol types show a rather small impact on IR in comparison to their effect in the visible (VIS) region [7], where the strongest aerosol–radiation interaction takes place Large aerosols such as mineral dust are able to efficiently interact with both solar and terrestrial radiation [8], with a radiative impact sensitive to particle size distribution and its evolution with transport [9]. A better characterization of larger aerosol particles may enhance, for example, the spectral sensitivity to super-micron (coarse mode) particles in the inversion techniques [10,11] This improved characterization could help to estimate more precisely global anthropogenic aerosol forces [4] and to solve the problematic representation of large aerosols like mineral dust in the current global climate models. As [9,13] have found, the incorporation of coarse particles in climate model simulations is important to account for the substantial radiative effect of dust in terms of the reduction of single-scattering albedo of shortwave radiation, the increase of radiative absorption, and the enhancement of long-wave radiation absorption

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