Synthetic tropical cyclone database
By M. K. James, Lb Mason. 2005
137 citations recorded by the source corpus.
A mathematical model capable of simulating tropical cyclone tracks and central pressure histories over the Coral Sea, Australia, is described. The modeling approach assumes that each cyclone is an independent realization of the same underlying stochastic process. Relatively simple autoregressive models are used for the time series of latitude, longitude, and central pressure. The model is used to generate a large database of synthetic storms whose statistical characteristics are shown to simulate those of the population of real storms. Each synthetic storm can be used, in conjunction with a separately developed wind field model, to drive numerical models for computing wave heights and water levels (including storm surges) throughout the Great Barrier Reef Marine Park. In this way, the sample size available for estimating extreme wave heights and water levels is greatly increased.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/019149122ce206b4fb4bb5a806caca0d4dcb2eeb
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In Atmospheric Science
In Global and Planetary Change
In Oceanography
Citations in the corpus
- Statistical modelling of North Atlantic tropical cyclone tracks (2007, background): “(2000) and James and Mason (2005), though applied to the raw track increments, rather than the anomalies.”
- Statistical Models of Holland Pressure Profile Parameter and Radius to Maximum Winds of Hurricanes from Flight-Level Pressure and H*Wind Data (2008, methodology): “The simulation methodologies are described in detail in reports and in the peer-reviewed literature (e.g., Batts et al. 1980; Georgiou 1985; Vickery et al. 2000; Powell et al. 2005; James and Mason 2005; Lee and Rosowsky 2007).”