Articles | Volume 13, issue 7
https://doi.org/10.5194/acp-13-3733-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-3733-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Apr 2013
Research article |
| 09 Apr 2013
Effective aerosol optical depth from pyranometer measurements of surface solar radiation (global radiation) at Thessaloniki, Greece
A. V. Lindfors
Kuopio Unit, Finnish Meteorological Institute, Kuopio, Finland
N. Kouremeti
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Kuopio Unit, Finnish Meteorological Institute, Kuopio, Finland
S. Kazadzis
National Observatory of Athens, Athens, Greece
A. F. Bais
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
A. Laaksonen
Climate Change Unit, Finnish Meteorological Institute, Helsinki, Finland
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
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- Desert dust and photovoltaic energy forecasts: Lessons from 46 Saharan dust events in Hungary (Central Europe) G. Varga et al. 10.1016/j.rser.2025.115446
- Estimating aerosol characteristics from solar irradiance measurements at an urban location in southeastern Spain I. Foyo-Moreno et al. 10.1002/2013JD020599
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- Retrieval of the aerosol optical thickness from UV global irradiance measurements M. Costa et al. 10.1088/1755-1315/28/1/012007
- Forecasting dust impact on solar energy using remote sensing and modeling techniques A. Masoom et al. 10.1016/j.solener.2021.09.033
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18 citations as recorded by crossref.
- Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements P. Kosmopoulos et al. 10.5194/amt-10-2435-2017
- Assessment of aerosol optical properties using remote sensing over highly urbanised twin cities of Pakistan M. Awais et al. 10.1016/j.jastp.2018.04.008
- A new zenith-looking narrow-band radiometer-based system (ZEN) for dust aerosol optical depth monitoring A. Almansa et al. 10.5194/amt-10-565-2017
- A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements W. Wandji Nyamsi et al. 10.5194/amt-13-3061-2020
- Desert dust and photovoltaic energy forecasts: Lessons from 46 Saharan dust events in Hungary (Central Europe) G. Varga et al. 10.1016/j.rser.2025.115446
- Estimating aerosol characteristics from solar irradiance measurements at an urban location in southeastern Spain I. Foyo-Moreno et al. 10.1002/2013JD020599
- Characteristics of atmospheric aerosol optical depth variation in China during 1993–2012 X. Xu et al. 10.1016/j.atmosenv.2015.08.042
- Retrieval of the aerosol optical thickness from UV global irradiance measurements M. Costa et al. 10.1088/1755-1315/28/1/012007
- Forecasting dust impact on solar energy using remote sensing and modeling techniques A. Masoom et al. 10.1016/j.solener.2021.09.033
- Dimming in Iran since the 2000s and the potential underlying causes B. Jahani et al. 10.1002/joc.5265
- Recovering long-term aerosol optical depth series (1976–2012) from an astronomical potassium-based resonance scattering spectrometer A. Barreto et al. 10.5194/amt-7-4103-2014
- Short-term aerosol radiative effects and their regional difference during heavy haze episodes in January 2013 in China X. Cheng et al. 10.1016/j.atmosenv.2017.06.040
- Impact of aerosol and water vapour on SW radiation at the surface: Sensitivity study and applications M. Obregón et al. 10.1016/j.atmosres.2018.06.001
- Multi-criteria decision-making in the location selection for a solar PV power plant using AHP S. Ozdemir & G. Sahin 10.1016/j.measurement.2018.07.020
- Comprehensive Validation of MODIS-MAIAC Aerosol Products and Long-Term Aerosol Detection over an Urban–Rural Area Around Rome in Central Italy V. Terenzi et al. 10.3390/rs17122051
- A Machine Learning Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements S. Logothetis et al. 10.3390/rs16071132
- Retrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up table J. Huttunen et al. 10.5194/acp-16-8181-2016
- Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements P. Kosmopoulos et al. 10.5194/amt-11-907-2018
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