An alternative multi-model ensemble forecast for Tropical Cyclone Tracks in the western north pacific

Sanghee Jun, Nam Young Kang, Woojeong Lee, Youngsin Chun

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This study introduces an unequally weighted technique for Multi-model Ensemble (MME) forecasting for western North Pacific Tropical Cyclone (TC) tracks. Weights are calculated by partial least square regression, and members are selected by paired t-test. The performances for shorter forecast time ranges, such as 24, 48 and 72 h, are examined in order to improve the MME model, in which the weights for members are equally assigned. For longer forecast time ranges, such as 96 and 120 h, weights for MME members are thought to be less reliable, since the modeling is more likely to be influenced by the climate variability in the data period. A combination of both techniques for the shorter and the longer forecast time ranges is suggested as an alternative MME forecast procedure in operational meteorological agencies.

Original languageEnglish
Article number174
JournalAtmosphere
Volume8
Issue number9
DOIs
StatePublished - 15 Sep 2017

Keywords

  • Multi-model ensemble
  • Partial least squares regression
  • Track forecast
  • Tropical cyclone

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