Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis–Gibbs Sampling

Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis–Gibbs Sampling

A novel model selection and averaging approach is proposed—through integrating the corrected Akaike information criterion (AICc), the Gibbs sampler, and the Poisson regression models, to improve tropical cyclone seasonal forecasting in the Australian and the South Pacific Ocean regions and sub-regio...

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Bibliographic Details
Main Authors: Guoqi Qian, Lizhong Chen, Yuriy Kuleshov
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
tropical cyclones
seasonal forecasting
Metropolis–Gibbs sampler
model selection
model averaging
Australian region
Online Access:https://www.mdpi.com/2072-4292/14/22/5872

Internet

https://www.mdpi.com/2072-4292/14/22/5872

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