Citation
Abstract
This study analyzed long-term temperature trends in Somalia from 1901 to 2021 using monthly Climate Research Unit (CRU) data. Time series analysis, including Mann-Kendall trend tests and linear regression, was applied to examine temperature patterns. The findings revealed a consistent warming trend of 0.0039 °C /decade, with acceleration in recent decades. Monthly temperature distributions showed clear seasonal patterns, with the warmest period occurring from March to May (27.5–28 °C median) and the coolest in December and January (around 25 °C median). Extremely high temperature events, defined as those exceeding the 95th percentile, increased in frequency and intensity, particularly from the 1980s onwards, with some events exceeding 29 °C. Spatial analysis using inverse distance weighting and k-means clustering identified distinct temperature clusters across Somalia, highlighting regional variability. The annual temperature range showed a slight increasing trend from 2.3 °C to 4.6 °C, suggesting greater temperature fluctuations within years. Seasonal analysis found spring and summer had the most pronounced warming trends, with spring temperatures rising from 27 °C to 28.5 °C during the study period. The warmest decade was observed in the 2010s, with mean temperatures reaching 27.1 °C, underscoring the recent intensification of warming.
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Official URL or Download Paper: https://link.springer.com/article/10.1007/s41748-0...
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Environmental Studies |
DOI Number: | https://doi.org/10.1007/s41748-024-00546-2 |
Publisher: | Springer |
Keywords: | Climate change; Extreme weather events; Somalia; Temperature trends |
Depositing User: | Ms. Nur Faseha Mohd Kadim |
Date Deposited: | 24 Feb 2025 07:43 |
Last Modified: | 24 Feb 2025 07:43 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/s41748-024-00546-2 |
URI: | http://psasir.upm.edu.my/id/eprint/115153 |
Statistic Details: | View Download Statistic |
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