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An Alternative Multi-Model Ensemble Forecast for Tropical Cyclone Tracks in the Western North Pacific
- Source :
- Atmosphere; Volume 8; Issue 9; Pages: 174, Atmosphere, Vol 8, Iss 9, p 174 (2017)
- Publication Year :
- 2017
- Publisher :
- MDPI AG, 2017.
-
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.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Meteorology
tropical cyclone
track forecast
partial least squares regression
multi-model ensemble
lcsh:QC851-999
Environmental Science (miscellaneous)
01 natural sciences
010104 statistics & probability
Climatology
Partial least squares regression
Environmental science
lcsh:Meteorology. Climatology
0101 mathematics
Tropical cyclone
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 20734433
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Atmosphere
- Accession number :
- edsair.doi.dedup.....8687291a4352a00cdcb40dc1434e2321
- Full Text :
- https://doi.org/10.3390/atmos8090174