Evaluation of Technology for the Analysis and Forecasting of Precipitation Using Cyclostationary EOF and Regression Method

Evaluation of Technology for the Analysis and Forecasting of Precipitation Using Cyclostationary EOF and Regression Method

Precipitation time series exhibit complex fluctuations and statistical changes. Existing research stops short of a simple and feasible model for precipitation forecasting. In this article, the authors investigate and forecast precipitation variations in South Korea from 1973 to 2021 using cyclostati...

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Bibliographic Details
Main Authors: Mingdong Sun, Gwangseob Kim, Kun Lei, Yan Wang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Atmosphere
Subjects:
precipitation forecasting
Empirical Orthogonal Function (EOF)
Cyclostationary Empirical Orthogonal Function (CSEOF)
seasonal cycle
autoregressive integrated moving average (ARIMA)
climate change
Online Access:https://www.mdpi.com/2073-4433/13/3/500

Internet

https://www.mdpi.com/2073-4433/13/3/500

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