Iterative refinement and smoothing of cyclone tracks from mean sea level pressure data

Authors

  • David Herschel Smith Bureau of Meteorology CAWCR
  • Asri Sulaiman Bureau of Meteorology CAWCR

DOI:

https://doi.org/10.21914/anziamj.v54i0.6421

Keywords:

Gauss Newton Iteration

Abstract

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

Published

2013-09-15

Issue

Section

Proceedings Computational Techniques and Applications Conference