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• W2076172372 abstract "Abstract. Storm cells that evolve in Mesoscale Convective Systems (MCSs) can be recognised with the use of satellite images. In this study, Meteosat images are used for the early detection and monitoring of the evolution of storm cells associated with MCSs. The developed methodology is based on the estimation of the Airmass and Convective storm composites, at fifteen minutes intervals. The methodology was applied on a selected four-day case study in February 2013, when a depression was developed over Africa and moved across the Mediterranean resulting in deep convection along its trajectory and in an extreme weather event (heavy rainfall associated with severe flooding) at the wider urban agglomeration of Athens. The produced composites detect potential vorticity (PV) anomaly related to cyclogenesis and increase the potential to detect and monitor storm cells associated with natural hazards." @default.
• W2076172372 created "2016-06-24" @default.
• W2076172372 creator A5049253728 @default.
• W2076172372 creator A5086901686 @default.
• W2076172372 date "2015-04-01" @default.
• W2076172372 modified "2023-09-23" @default.
• W2076172372 title "An assessment of the potential of earth observation data to detect and monitor storm cells associated with natural hazards – an application to an extreme weather event in southeastern Mediterranean" @default.
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• W2076172372 doi "https://doi.org/10.5194/nhessd-3-2191-2015" @default.
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