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Statistical modeling for land surface temperature in Borneo island from 2000 to 2019

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Abstract

Increased temperature is one of the signals of global warming. Trends in land surface temperature can be used to measure climate change. This research aimed to investigate the variation of land surface temperature in Borneo island using a cubic spline method and a multivariate regression model. The island was divided into 8 regions each comprising 9 subregions. Land surface temperatures for each subregion from 2000 to 2019 were obtained from the National Aeronautics and Space Administration Moderate Resolution Imaging Spectroradiometer database. The average increase in temperature was 0.2 °C/decade with a 95% confidence interval of (0.14, 0.27) °C. The changes differed by region; a significant increase was seen in Sarawak, North Kalimantan, West Kalimantan, West-central Kalimantan, and Central-east Kalimantan region; a slight decrease in Sabah and Brunei Darussalam (Sabah and Brunei) region; a slight increase in East Kalimantan; and a stable trend in South Kalimantan.

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Data availability

The data that support the findings of this study and the command code are available in https://drive.google.com/drive/folders/1l4Jt9iWa5P8mI-1FMR5GwFj9lE6Ru0T-?usp=sharing.

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Acknowledgements

The authors gratefully acknowledge Professor Don McNeil for his invaluable assistance during this research. This study was supported by Thailand’s Education Hub for the Southern Region of ASEAN Countries (TEH-AC), Prince of Songkla University Graduate School Research Grant, and the Centre of Excellence in Mathematics, Commission on Higher Education, Thailand.

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Munawar Munawar and Tofan Agung Eka Prasetya obtained the data and performed statistical, and Rhysa McNeil and Rohana Jani contributed to statistical analyses, discussion, and interpretation of the results. All authors contributed through writing and editing the manuscript.

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Correspondence to Rhysa McNeil.

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Munawar, M., Prasetya, T.A.E., McNeil, R. et al. Statistical modeling for land surface temperature in Borneo island from 2000 to 2019. Theor Appl Climatol 147, 1627–1634 (2022). https://doi.org/10.1007/s00704-021-03891-8

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  • DOI: https://doi.org/10.1007/s00704-021-03891-8

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