Author
Listed:
- Yue Huang
(Xinjiang Data Intelligence Statistics Research Center, School of Science and Arts, China University of Petroleum-Beijing at Karamay, Karamay 834000, China)
- Shanshan Liang
(School of Physics, East China University of Science and Technology, Shanghai 200237, China)
- Shujin Wu
(Xinjiang Data Intelligence Statistics Research Center, School of Science and Arts, China University of Petroleum-Beijing at Karamay, Karamay 834000, China
School of Statistics, East China Normal University, Shanghai 200062, China)
Abstract
Global warming has become a core challenge for human society. This study adopted the global surface temperature anomaly dataset from 1891 to 2023 released by the Japan Meteorological Agency (JMA). Multiple quantitative methods, including Sen’s slope estimation, Modified Mann–Kendall (MMK) test with pre-whitening, Pettitt test and GIS spatial analysis, were comprehensively applied to investigate the long-term climate change trends and regional response characteristics across the globe and China. The results indicated that the global warming rate reached 0.0802 °C per decade, while the warming rate of China was 0.1139 °C per decade, which is 42.0% higher than the global average level. Both global and Chinese temperature changes experienced three evolutionary stages, namely slow growth period, stagnation period and accelerated warming period, with an abrupt turning point occurring during 1979–1980, which was closely linked to the phase transition of Pacific Decadal Oscillation and atmospheric circulation adjustment. Obvious spatial differentiation characteristics of climate warming were identified in China, with a more rapid warming trend in northern and inland regions and a relatively slow warming rate in southern and coastal areas. Since 1980, regional accelerated warming has been driven by both anthropogenic activities and natural climate variability. The research findings can provide solid scientific support for formulating regional climate adaptation strategies and promoting collaborative global climate governance.
Suggested Citation
Yue Huang & Shanshan Liang & Shujin Wu, 2026.
"Global Climate Change Trends and Regional Responses Based on JMA Data,"
Sustainability, MDPI, vol. 18(12), pages 1-16, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:12:p:6126-:d:1967440
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