When people say a hurricane landfall is "due" to occur in a specific area, the implicit assumption being made is that a hurricane not making landfall in a particular area during a given year increases the likelihood of a hurricane making landfall in that same area next year. More formally, if L is a random variable that is the number of years between hurricane landfalls in a given area, L does not follow a memoryless distribution. (Since L is a discrete random variable, this is equivalent to saying L does not follow a geometric distribution.)
I think it would be fruitful to investigate the distribution of years between hurricane landfalls in a given area. Naïvely, for a given area whose probability of experiencing a hurricane landfall in an unspecified year is p, I would expect the distribution of years between hurricane landfalls in that area roughly to follow Geom(p). I think the markedly non-memory nature of El Niño Southern Oscillation, with El Niños being more likely after double-dip La Niñas and La Niñas being more likely after El Niños, could cause the distributions to deviate slightly from the expected Geom(p) because of ENSO's influence on steering patterns; however, I expect broad-scale climate patterns to be fairly minor factors in totally of all influences on storms' steering.
Distribution of number of years between hurricane landfalls in a given area
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Re: Distribution of number of years between hurricane landfalls in a given area
The 'due' talk is simply gamblers fallacy. In reality, regardless of past events, we don't know the odds and they never change. We don't even know if we're dealing with 5 sided dice or 100 sided dice, and how many dice.
A better question rather than look at distribution is to look at patterns present during a landfall somewhere and then how often those conditions persist. Even with that knowledge though, when a condition is present the opportunity for a storm to form also has to be present. Example: Conditions mimic year X location experienced last landfall but no waves or other points of genesis are available to form a storm. Good luck managing all those variables.
A better question rather than look at distribution is to look at patterns present during a landfall somewhere and then how often those conditions persist. Even with that knowledge though, when a condition is present the opportunity for a storm to form also has to be present. Example: Conditions mimic year X location experienced last landfall but no waves or other points of genesis are available to form a storm. Good luck managing all those variables.
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