Statistical modelling of tropical cyclone tracks: modelling the autocorrelation in track shape

dc.creatorHall, Tim
dc.creatorJewson, Stephen
dc.date2005-09-03
dc.date.accessioned2026-07-07T05:55:48Z
dc.date.available2026-07-07T05:55:48Z
dc.descriptionWe describe results from the third stage of a project to build a statistical model for hurricane tracks. In the first stage we modelled the unconditional mean track. In the second stage we modelled the unconditional variance of fluctuations around the mean. Now we address the question of how to model the autocorrelations in the standardised fluctuations. We perform a thorough diagnostic analysis of these fluctuations, and fit a type of AR(1) model. We then assess the goodness of fit of this model in a number of ways, including an out-of-sample comparison with a simpler model, an in-sample residual analysis, and a comparison of simulated tracks from the model with the observed tracks. Broadly speaking, the model captures the behaviour of observed hurricane tracks. In detail, however, there are a number of systematic errors.
dc.identifierhttps://arxiv.org/abs/physics/0509024
dc.identifierhttp://arxiv.org/abs/physics/0509024
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/87375
dc.subjectAtmospheric and Oceanic Physics
dc.titleStatistical modelling of tropical cyclone tracks: modelling the autocorrelation in track shape
dc.typetext

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