Articles | Volume 15, issue 19
https://doi.org/10.5194/amt-15-5667-2022
https://doi.org/10.5194/amt-15-5667-2022
Research article
 | 
11 Oct 2022
Research article |  | 11 Oct 2022

Sensitivity of aerosol optical depth trends using long-term measurements of different sun photometers

Angelos Karanikolas, Natalia Kouremeti, Julian Gröbner, Luca Egli, and Stelios Kazadzis

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Cited articles

Andrew, C.: Forecasting, structural time series models and the Kalman filter, First paperback edition, Cambridge University Press, ISBN 0521405734, 1990. 
Bashiri, M. and Moslemi, A.: The analysis of residuals variation and outliers to obtain robust response surface, Journal of Industrial Engineering International, 9, 1695–1702, https://doi.org/10.1186/2251-712x-9-2, 2013. 
Cherian, R. and Quaas, J.: Trends in AOD, Clouds, and Cloud Radiative Effects in Satellite Data and CMIP5 and CMIP6 Model Simulations Over Aerosol Source Regions, Geophys. Res. Lett., 47, e2020GL087132, https://doi.org/10.1029/2020gl087132, 2020. 
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The aim of this work is to investigate the limitations of calculating long-term trends of a parameter that quantifies the overall effect of atmospheric aerosols on the solar radiation. A main finding is that even instruments with good agreement between their observations can show significantly different linear trends. By calculating time-varying trends, the trend agreement is shown to improve. We also show that different methods of trend estimation can result in significant trend differences.