Iterative refinement and smoothing of cyclone tracks from mean sea level pressure data
DOI:
https://doi.org/10.21914/anziamj.v54i0.6421Keywords:
Gauss Newton IterationAbstract
Local nonlinear regression fits are applied to mean sea level pressure data from \(24\) member ensemble forecasts of three recent tropical cyclones in the Australian region. Cyclone track estimates derived from the fits are subjected to verification calculations in the form of error-spread diagrams, demonstrating consistency with a recent global ensemble study, with attention also given to cross and along track error components. References- R. E. Benestad and D. Chen, The use of a calculus-based cyclone identification method for generating storm statistics, Tellus A 58(4):473–486 (2006). doi:10.1111/j.1600-0870.2006.00191.x
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Published
2013-09-15
Issue
Section
Proceedings Computational Techniques and Applications Conference