Abstract
Short-term temperature fluctuations (STFs), including amplitude and frequency fluctuations, are one of the main features of weather and play vital roles in determining the type of ecosystem present. Although temperature fluctuations at different time scales have been extensively discussed, the research on week-scale STFs is lacking. In this study, we developed a method, that can quantify the amplitude and frequency of STFs by the thresholds from all years. We used this method to quantify the amplitude and frequency of the 7-d STFs from 1951 to 2019 across China. Our results indicate that the amplitude of the STF was much higher in the eastern part of China than in the western part, while the frequency of the STF was higher in the middle part than in the southern and northern parts; furthermore, the STF was highly dependent on internal factors such as topography. The long-term STF mainly showed a decreasing trend before 1990, which implies that temperature became increasingly stable from the 1950s to the 1990s. The main influencing factors were related to topography since the trends were relatively consistent in space. A case study in Taihu Lake showed that an unstable STF in winter and summer resulted in a smaller bloom area in the following spring and autumn. Our method could eliminate seasonal effects and is capable of analyzing STFs at scales ranging from days to years. Quantifications of the amplitude and frequency also make the STF indicators more comprehensive. Furthermore, the STF increased significantly across most of China after 1990, which implies that temperature is becoming increasingly unstable. The drivers of these STFs are related to human impacts since the trends are different in space.
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Funding
Under the auspices of the National Natural Science Foundation of China (No. 41971146, 41621002), the Fundamental Research Funds for the Central Universities (No. 2014QNA86), the National Key Research and Development Program of China (No. 2019YFC1805400)
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He, Y., Deng, J., Zhang, Y. et al. Variation in Short-term Temperature Fluctuations Across China During the Past 60 Years. Chin. Geogr. Sci. 32, 563–579 (2022). https://doi.org/10.1007/s11769-022-1286-0
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DOI: https://doi.org/10.1007/s11769-022-1286-0