Development of statistical and machine learning models to predict the occurrence of radiation fog in Japan

Development of statistical and machine learning models to predict the occurrence of radiation fog in Japan

Abstract This study develops statistical and machine learning models based on discriminant analysis, logistic regression analysis, and a support vector machine (SVM) to predict the occurrence of radiation fog in Japan. The selection of a suitable set of explanatory variables for the models was made...

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Bibliographic Details
Main Authors: Momoko Negishi, Hiroyuki Kusaka
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Meteorological Applications
Subjects:
AIC
discriminant model
logistic regression model
radiation fog
SVM
Online Access:https://doi.org/10.1002/met.2048

Internet

https://doi.org/10.1002/met.2048

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