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Investigating the predictability of a Mediterranean tropical‐like cyclone using a storm‐resolving model
Author(s) -
Cioni Guido,
Cerrai Diego,
Klocke Daniel
Publication year - 2018
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.3322
Subject(s) - predictability , tropical cyclone , meteorology , cyclone (programming language) , environmental science , numerical weather prediction , storm , climatology , mesoscale meteorology , trajectory , grid , potential vorticity , atmospheric sciences , geology , vorticity , vortex , computer science , mathematics , physics , geodesy , statistics , field programmable gate array , astronomy , computer hardware
Predicting the trajectory and structure of Mediterranean tropical‐like cyclones (MTLCs) has always been a challenge even within a few hours of verification time, given the inadequacy of numerical weather prediction (NWP) models to resolve the relatively small spatial scale of these systems. In particular, the event of 7–8 November 2014 was poorly predicted by operational NWP models which failed to reproduce the trajectory of the cyclone. Using a state‐of‐the‐art storm‐resolving model, we show that simulations with a grid spacing of approximately 1 km are able to reproduce the fine‐scale structure of this MTLC. Simulations performed with grid spacing larger than 2.5 km fail to represent the features of the cyclone, while additional nested simulations with very high resolution (300 m) reveal the ability of the model to fully capture the internal structure of the cyclone. Thus, there is a noticeable convergence towards the observed trajectory of the cyclone with increasing resolution. Finally, a potential vorticity (PV) analysis highlights the mutual interaction between a PV streamer and a low‐level PV maximum induced by convection. Only convection‐resolving simulations, with a grid spacing smaller than 5 km, show a low‐level maximum of PV which impacts the redistribution of PV at the higher atmospheric levels.