Assessment of Local Climate Change Trends in Temperature in the Sirte Area Using Gridded Platform Data (NASA Power) as a Model
Keywords:
Maximum temperature, minimum temperature, temporal trend, spatial analysis, climate change, Sirte regionAbstract
This study aims to analyze the temporal and spatial trends of seasonal maximum and minimum temperatures in the Sirte area during the period from 1985 to 2024, using open-source climatic data from NASA POWER. A simple linear regression model was applied to assess temporal trends, while spatial analysis tools within ArcMap GIS 10.4 were used to produce seasonal trend maps. The results showed an upward trend in both maximum and minimum temperatures, with most monitoring sites recording positive tendencies. At some locations, cumulative temperature changes exceeded 1.2°C over four decades, indicating a clear effect of global warming. Spatial analyses revealed a stable thermal pattern, where maximum temperatures increase from the northeast to the southwest, while minimum temperatures decrease southward in all seasons. Additionally, this indicates a climatic signal associated with the exacerbation of climate change effects. The study emphasizes the need to enhance ground monitoring networks and verify the accuracy of satellite data by comparing them with available field observations.
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