Abstract

Air–sea interface processes are highly associated with the evolution and intensity of marine-developed storms. Specifically, in the Mediterranean Sea, the air–ocean temperature deviations have a profound role during the several stages of Mediterranean cyclonic events. Subsequently, this enhances the need for better knowledge and representation of the sea surface temperature (SST). In this work, an analysis of the impact and uncertainty of the SST from different well-known datasets on the life-cycle of Mediterranean cyclones is attempted. Daily SST from the Real Time Global SST (RTG_SST) and hourly SST fields from the Operational SST and Sea Ice Ocean Analysis (OSTIA) and the NEMO ocean circulation model are implemented in the RAMS/ICLAMS-WAM coupled modeling system. For the needs of the study, the Mediterranean cyclones Trixi, Numa, and Zorbas were selected. Numerical experiments covered all stages of their life-cycles (five to seven days). Model results have been analyzed in terms of storm tracks and intensities, cyclonic structural characteristics, and derived heat fluxes. Remote sensing data from the Integrated Multi-satellitE Retrievals (IMERG) for Global Precipitation Measurements (GPM), Blended Sea Winds, and JASON altimetry missions were employed for a qualitative and quantitative comparison of modeled results in precipitation, maximum surface wind speed, and wave height. Spatiotemporal deviations in the SST forcing rather than significant differences in the maximum/minimum SST values, seem to mainly contribute to the differences between the model results. Considerable deviations emerged in the resulting heat fluxes, while the most important differences were found in precipitation exhibiting spatial and intensity variations reaching 100 mm. The employment of widely used products is shown to result in different outcomes and this point should be taken into consideration in forecasting and early warning systems.

Highlights

  • Air–ocean interface processes are highly associated with the development, evolution, and intensity of extreme weather phenomena

  • This study aims at the understanding of how model results are affected in the simulation of Mediterranean cyclones using sea surface temperature (SST) from different well-known datasets

  • The study examined the uncertainty in model results using different SSTs in the simulation of Mediterranean cyclones

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Summary

Introduction

Air–ocean interface processes are highly associated with the development, evolution, and intensity of extreme weather phenomena. Moisture, and momentum exchanges due to ocean drag and thermodynamic disequilibrium between the ocean surface and the upper air result in intense atmospheric perturbations. The Mediterranean Sea is an area where the aforementioned air–sea processes very often contribute to intense cyclonic activity. The presence of cold cut-off lows in the middle and upper troposphere blended with the warmer water surfaces leads to cyclogenesis. Some important features characterizing a Mediterranean TLC in the literature are a rounded shape with a cloudless core (cyclone eye), a drop in sea level pressure, a warm core structure at the mid-troposphere, heavy rainfall, and strong cyclonic winds [1,2,3]

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