Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks
This paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural netwo...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-01-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | http://www.atmos-meas-tech.net/9/53/2016/amt-9-53-2016.pdf |
Summary: | This paper presents the reconstruction of a 73-year time series of the
aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain
Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands,
Spain). For this purpose, we have combined AOD estimates from artificial
neural networks (ANNs) from 1941 to 2001 and AOD measurements directly
obtained with a Precision Filter Radiometer (PFR) between 2003 and 2013. The
analysis is limited to summer months (July–August–September), when the
largest aerosol load is observed at IZO (Saharan mineral dust particles). The
ANN AOD time series has been comprehensively validated against coincident AOD
measurements performed with a solar spectrometer Mark-I (1984–2009) and
AERONET (AErosol RObotic NETwork) CIMEL photometers (2004–2009) at IZO,
obtaining a rather good agreement on a daily basis: Pearson coefficient, <i>R</i>,
of 0.97 between AERONET and ANN AOD, and 0.93 between Mark-I and ANN AOD
estimates. In addition, we have analysed the long-term consistency between
ANN AOD time series and long-term meteorological records identifying Saharan
mineral dust events at IZO (synoptical observations and local wind records).
Both analyses provide consistent results, with correlations > 85 %.
Therefore, we can conclude that the reconstructed AOD time series captures well
the AOD variations and dust-laden Saharan air mass outbreaks on short-term
and long-term timescales and, thus, it is suitable to be used in climate
analysis. |
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ISSN: | 1867-1381 1867-8548 |