Modelling Land Surface Temperature Variation in New Guinea Island from 2000 to 2019 Using a Cubic Spline Model
Land surface temperature (LST) is a critical indicator variable in climate science. In this study, the variation of LST on the island of New Guinea during 2000 to 2019 was investigated using a cubic spline model and a multivariate regression model. The data were obtained from the National Aeronautic...
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| Main Authors: | , , , , , |
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| Format: | Article |
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Wiley
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/45222/ https://doi.org/10.1155/2024/5531961 |
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| Summary: | Land surface temperature (LST) is a critical indicator variable in climate science. In this study, the variation of LST on the island of New Guinea during 2000 to 2019 was investigated using a cubic spline model and a multivariate regression model. The data were obtained from the National Aeronautics and Space Administration moderate resolution imaging spectroradiometer database. This study focused on 90 subregions with 105-pixels of latitude 90 kilometer apart. These subregions were categorized into 10 super-regions. The results showed that the mean change in LST for all 90 subregions was +0.086 degrees C per decade with a confidence interval of (0.028, 0.144)oC. There were five super-regions with a significant mean LST change. LST increased significantly in the central-north, central-south of the island (super-regions B1, C1, and C2 with 0.117 degrees C, 0.162 degrees C, and 0.185 degrees C, respectively) and the southern part of Papua New Guinea (super-region E2 with 0.217 degrees C), whereas it decreased in the middle part of the Indonesian territories (A2 with -0.122 degrees C). The results also showed that LST variation occurs at the subregional level. Climate change mitigation methods are critical for reducing temperature rise and limiting any negative effects on the region. |
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