Use of stepwise m5 model tree to forecast the P24max based on teleconnection indices

Use of stepwise m5 model tree to forecast the P24max based on teleconnection indices

Abstract In this study, the linear and non‐linear multivariate relationships between 25 teleconnection indices (tele‐indices) as independent variables and annual P24max as the dependent variable were analyzed using multivariate linear regression (MLR) and decision tree regression models (M5), in sel...

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Bibliographic Details
Main Authors: Golnar Ghanbarzadeh, Khalil Ghorbani, Meysam Salarijazi, Chooghi Bairam Komaki, Laleh Rezaei Ghaleh
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Atmospheric Science Letters
Subjects:
decision tree
forecast
M5
P24max
teleconnection
Online Access:https://doi.org/10.1002/asl.1276
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