Climatic Trends in Cities in ShaanXi Province: An Temperature Analysis Using Geospatial Data and Statistical Techniques
Keywords:
Climatic Shifts, Temperature Analysis, Shaanxi Province, Data-driven Simulation, Spatial InterpolationAbstract
Global warming stands as a crucial research focus in the 21st century, with historical temperature data serving as the primary reference standard for understanding climate change. This paper presents a comprehensive study on climate change patterns in Shaanxi Province, China, utilizing temperature data collected from meteorological stations over the past four decades. The research employs rigorous methodologies for data collection, processing, and analysis, offering insights into the temperature trends and variability of each prefecture-level city within the province. Through spatial interpolation, statistical calculations, and temporal aggregation, the study reveals a consistent and significant increase in average temperatures across all cities. These findings underscore the urgency of addressing climate change impacts at the regional level and stress the importance of localized strategies for adaptation and mitigation.
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