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  Investigating the predictability of a Mediterranean tropical-like cyclone using a storm-resolving model

Cioni, G., Cerrai, D., & Klocke, D. (2018). Investigating the predictability of a Mediterranean tropical-like cyclone using a storm-resolving model. Quarterly Journal of the Royal Meteorological Society, 144, 1598-1610. doi:10.1002/qj.3322.

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Cioni, Guido1, 2, Author           
Cerrai, Diego, Author
Klocke, Daniel, Author
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1Hans Ertel Research Group Clouds and Convection, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913572              
2IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913547              

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 Abstract: 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. © 2018 Royal Meteorological Society

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Language(s): eng - English
 Dates: 2017-112018-07-162018-07-162018-07-16
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1002/qj.3322
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Title: Quarterly Journal of the Royal Meteorological Society
Source Genre: Journal
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Publ. Info: Reading, Berkshire, England [etc.] : Royal Meteorological Society.
Pages: - Volume / Issue: 144 Sequence Number: - Start / End Page: 1598 - 1610 Identifier: ISSN: 0035-9009
CoNE: https://pure.mpg.de/cone/journals/resource/954925442598