Student Research Reports
Analysis of Climate Change in Kalasin Province Using Artificial Intelligence Technology
Organization(s):Kalasinpittayasan
Country:Thailand
Student(s):Chinnakit Ritruksa
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Educator(s):Chumpon Chareesaen
Contributors:
Report Type(s):International Virtual Science Symposium Report
Protocols:Air Temperature, Precipitation
Presentation Poster:
View Document
Language(s):English
Date Submitted:03/05/2025

Climate change is a critical factor affecting agriculture, environment, and economy, particularly in
climatically vulnerable regions such as Kalasin Province. This study aims to analyze temperature
and rainfall trend changes in Kalasin Province between 2021-2024 and forecast trends until 2028
using Artificial Intelligence (AI) technology for climate prediction. The research utilized historical
temperature and rainfall data from the Meteorological Department to train AI models, specifically
Long Short-Term Memory (LSTM) and AutoRegressive Integrated Moving Average (ARIMA).
The findings reveal a continuous increasing trend in Kalasin Province's temperature, particularly in
the fourth quarter, with an increase of up to 3.12°C. Rainfall demonstrated significant variability,
with some years showing a clear decline in early periods and increased precipitation during rainy
seasons, potentially influenced by El Niño and La Niña phenomena. Comparing AI model
performance, LSTM demonstrated higher accuracy than ARIMA, as evidenced by lower Root
Mean Square Error (RMSE) values. The LSTM model showed superior capability in capturing data
trends and variations. However, the models still exhibited limitations during periods of rapid
climate changes. The study's results can serve as a foundational resource for climate adaptation
planning, enabling relevant agencies to develop more effective measures for water resource and
agricultural management in Kalasin Province.
Keywords: Climate Change, Kalasin Province,