DOAJ Open Access 2022

Multivariable Panel Data Cluster Analysis of Meteorological Stations in Thailand for ENSO Phenomenon

Porntip Dechpichai Nuttawadee Jinapang Pariyakorn Yamphli Sakulrat Polamnuay Sittisak Injan +1 lainnya

Abstrak

The purpose of this research is to study the spatial and temporal groupings of 124 meteorological stations in Thailand under ENSO. The multivariate climate variables are rainfall, relative humidity, temperature, max temperature, min temperature, solar downwelling, and horizontal wind from the conformal cubic atmospheric model (CCAM) in years of El Niño (1987, 2004, and 2015) and La Niña (1999, 2000, and 2011). Euclidean distance timed and spaced with average linkage for clustering and silhouette width for cluster validation were employed. Five spatial clusters (SCs) and three temporal clusters (TCs) in each SC with different average precipitation were compared by El Niño and La Niña. The pattern of SCs and TCs was similar for both events except in the case when severe El Niño occurred. This method could be applied using variables forecasted in the future to be used for planning and managing crop cultivation with the climate change in each area.

Topik & Kata Kunci

Applied mathematics. Quantitative methods Mathematics Electronic computers. Computer science

Penulis (6)

Porntip Dechpichai

Nuttawadee Jinapang

Pariyakorn Yamphli

Sakulrat Polamnuay

Sittisak Injan

Usa Humphries

Format Sitasi

APA MLA BibTeX

Dechpichai, P., Jinapang, N., Yamphli, P., Polamnuay, S., Injan, S., Humphries, U. (2022). Multivariable Panel Data Cluster Analysis of Meteorological Stations in Thailand for ENSO Phenomenon. https://doi.org/10.3390/mca27030037

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.3390/mca27030037
Akses: Open Access ✓