Research Article Open Access

Trend and Pattern in Average Monthly Maximum Temperatures in Thailand from 1986 to 2015

Manachai Rodchuen1, Samruam Chongcharoen1 and Walaithip Bunyatisai1
  • 1 Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand

Abstract

This research aims to study the trends and patterns of average maximum temperature change data of monthly surface in Thailand during the 30 year-period from 1986 to 2015 that has already eliminated seasonal variations and autocorrelation. The data set obtained from Climatological center, Meteorological Development Division, Thailand Meteorological Department for 73 completed recording stations. The climatically regions of Thailand meteorology are divided into 5 regions: Central, Eastern, North, Northeast and South. After the process of parameter estimation using simple linear regression of average maximum temperature data that has already eliminated influences of variations, the study results showed that over the last 10 years, the northern, central, eastern, northeastern and southern regions of Thailand had trends of the average maximum surface temperature increasing by 0.164°C 0.137°C 0.127°C 0.194°C 0.068°C, respectively. For over the whole country, the average maximum surface temperature increasing by 0.141°C in the last 10 years at a significant level of 0.05.

American Journal of Applied Sciences
Volume 17 No. 1, 2020, 20-35

DOI: https://doi.org/10.3844/ajassp.2020.20.35

Submitted On: 27 January 2020 Published On: 25 March 2020

How to Cite: Rodchuen, M., Chongcharoen, S. & Bunyatisai, W. (2020). Trend and Pattern in Average Monthly Maximum Temperatures in Thailand from 1986 to 2015. American Journal of Applied Sciences, 17(1), 20-35. https://doi.org/10.3844/ajassp.2020.20.35

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Keywords

  • Seasonal Effect
  • Autoregressive Process
  • Maximum Temperatures
  • Linear Regression Model
  • Thailand