Relationship between AOD and synoptic circulation over the Eastern Mediterranean: A comparison between subjective and objective classifications. (March 2018)

• Record Type: Journal Article
• Authors: Bodenheimer, Shalev; Nirel, Ronit; Lensky, Itamar M.; Dayan, Uri
• Is Part Of: Atmospheric environment. Volume 177(2018)
• Page Start: 253
• Page End: 261
• Publication Date: 2018-03
• Subjects: Eastern Mediterranean -- AOD -- Synoptic classification; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2018.01.016
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: The Eastern Mediterranean (EM) Basin is strongly affected by dust originating from two of the largest world sources: The Sahara Desert and the Arabian Peninsula. Climatologically, the distribution pattern of aerosol optical depth (AOD), as proxy to particulate matter (PM), is known to be correlated with synoptic circulation. The climatological relationship between circulation type classifications (CTCs) and AOD levels over the EM Basin ("synoptic skill") was examined for the years 2000–2014. We compared the association between subjective (expert-based) and objective (fully automated) classifications and AOD using autoregressive models. After seasonal adjustment, the mean values of R 2 for the different methods were similar. However, the distinct spatial pattern of the R 2 values suggests that subjective classifications perform better in their area of expertise, specifically in the southeast region of the study area, while, objective CTCs had better synoptic skill over the northern part of the EM. This higher synoptic skill of subjective CTCs stem from their ability to identify distinct circulation types (e.g. Sharav lows and winter lows) that are infrequent but are highly correlated with AOD. Notably, a simple CTC based on seasonality rather than meteorological parameters predicted well AOD levels, especially over the south-eastern part of the domain. Synoptic classifications that are area-oriented are likely better predictors of AOD and possibly other environmental variables. Highlights: We compared subjective vs. objective synoptic classifications in relation to AOD. Synoptic skill for predicting AOD levels varies geographically. Subjective classifications can identify rare categories that cause high PM levels. Subjective classifications achieve higher synoptic skill in their area of expertise. Automatic-objective methods achieve higher synoptic skill outside the expert-zone.