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

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

doi:https://doi.org/10.5194/amt-15-5667-2022

Articles | Volume 15, issue 19

https://doi.org/10.5194/amt-15-5667-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-5667-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 19

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

Data sets

Davos Aerosol Optical Depth (AOD) with Precipitable Water and Angstrom Parameter level 2.0 Version 3 Direct Sun Algorithm C. Wehrli, N. Kouremeti, and International AERONET Federation https://aeronet.gsfc.nasa.gov/cgi-bin/webtool_aod_v3?stage=3&region=Europe&state=Switzerland&site=Davos&place_code=10&if_polarized=0

Model code and software

DLM Matlab Toolbox M. Laine https://github.com/mjlaine/dlm.git

Short summary

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.