Accurate knowledge of aerosol variability on a relatively high spatiotemporal scale is needed for better assessment of aerosol radiative effects and aerosol-climate interactions. We investigated the spatial boundaries of the Aerosol Robotic Network (AERONET) observations over the Mediterranean basin using a statistical approach. We used 13years (2002-2014) of aerosol optical depth (AOD) measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS) and 15 AERONET sites around the Mediterranean basin. The gridded correlation maps show moderate to high correlations (R>0.5) around each AERONET site up to similar to 200-500km radius depending on location. Such analyses provide information on the spatial domain in which the AERONET measurements can be reliably used per site. The statistical model provides a better daytime AOD product on finer temporal resolution with higher spatial coverage as compared to using AERONET/MODIS observations separately. The findings from this study can be useful for the assimilation-based model forecasting of aerosol properties.
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Ctr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, FranceCtr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, France
Guth, Jonathan
Marecal, Virginie
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Ctr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, FranceCtr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, France
Marecal, Virginie
Josse, Beatrice
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Ctr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, FranceCtr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, France
Josse, Beatrice
Arteta, Joaquim
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Ctr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, FranceCtr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, France
Arteta, Joaquim
Hamer, Paul
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Ctr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, France
Norwegian Inst Air Res, NILU, POB 100, N-2027 Kjeller, NorwayCtr Natl Rech Meteorol, CNRS Meteo France, UMR3589, Toulouse, France