Daily Maximum Rainfall Forecast Affected by Tropical Cyclones using Grey Theory

Nipaporn Chutiman, Monchaya Chiangpradit, Butsakorn Kong-ied, Piyapatr Busababodhin, Chatchai Chaiyasaen, Pannarat Guayjarernpanishk


This research aims to develop a model for forecasting daily maximum rainfall caused by tropical cyclones over Northeastern Thailand during August and September 2022 and 2023. In the past, the ARIMA or ARIMAX method to forecast rainfall was used in research. It is a short-term rainfall prediction. In this research, the Grey Theory was applied as it is an approach that manages limited and discrete data for long-term forecasting. The Grey Theory has never been used to forecast rainfall that is affected by tropical cyclones in Northeastern Thailand. The Grey model GM(1,1) was analyzed with the highest daily cumulative rainfall data during the August and September tropical cyclones of the years 2018–2021, from the weather stations in Northeastern Thailand in 17 provinces. The results showed that in August 2022 and 2023, only Nong Bua Lamphu province had a highest daily rainfall forecast of over 100 mm, while the other provinces had values of less than 70 mm. For September 2022 and 2023, there were five provinces with the highest daily rainfall forecast of over 100 mm. The average of mean absolute percentage error (MAPE) of the maximum rainfall forecast model in August and September is approximately 20 percent; therefore, the model can be applied in real scenarios.


Doi: 10.28991/CEJ-2022-08-08-02

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Grey Theory; Tropical Cyclones; Daily Maximum Rainfall.


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DOI: 10.28991/CEJ-2022-08-08-02


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