Anthropogenic influence on seasonal extreme temperatures in eastern China at century scale

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Nano Materials Pub Date : 2024-04-30 DOI:10.1016/j.wace.2024.100675
Ting Hu , Ying Sun , Xiang Zheng , Yuyu Ren , Guoyu Ren
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Abstract

Due to the scarcity of observational data in the early 20th century, very limited research has explored the impact of human activities on temperature extremes at the regional scale. Here we used a newly developed homogenized near-surface air temperature dataset from the beginning of the 20th century to estimate the frequency and intensity of extreme temperatures in eastern China and evaluate their anthropogenic influence based on models from the Coupled Model Intercomparison Project Phase 6 (CMIP6). We found clear increases in warm extremes and decreases in cold extremes since 1901 for both annual and seasonal mean temperatures, with more pronounced changes in recent decades. The most significant warming occurred in spring and winter, approximately double the smallest warming observed in autumn. The CMIP6 models generally replicated the century-scale warming in annual and seasonal temperature extremes, showing increases in the frequency and intensity of warm extremes and corresponding decreases in cold extremes. The optimal fingerprinting detections suggest that the century-scale warming can be clearly attributed to anthropogenic forcing, including changes in seasonal extreme temperatures. Most observed changes in extreme temperatures were attributable to anthropogenic greenhouse gas emissions, partially offset by a smaller negative impact from anthropogenic aerosol forcing, whereas natural forcing has played a minor role. These results provide important information for accurately projecting future changes in temperature extremes.

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世纪尺度上人类活动对中国东部季节性极端气温的影响
由于 20 世纪初观测数据的匮乏,在区域尺度上探讨人类活动对极端气温影响的研究非常有限。在此,我们利用新开发的 20 世纪初均质化近地表气温数据集,估算了中国东部极端气温的频率和强度,并基于耦合模式相互比较项目第 6 阶段(CMIP6)的模式评估了其人为影响。我们发现,自 1901 年以来,无论是年平均气温还是季节平均气温,暖极端气温都明显增加,而冷极端气温则明显减少,最近几十年的变化更为明显。最明显的变暖发生在春季和冬季,大约是秋季观测到的最小变暖的两倍。CMIP6 模式总体上复制了年极端气温和季节极端气温的世纪尺度变暖,显示暖极端气温的频率和强度增加,而冷极端气温则相应减少。最佳指纹探测结果表明,本世纪尺度的变暖可以明确归因于人类活动,包括季节极端气温的变化。观测到的极端气温变化大部分归因于人为温室气体排放,部分被人为气溶胶强迫产生的较小负面影响所抵消,而自然强迫所起的作用很小。这些结果为准确预测未来极端气温的变化提供了重要信息。
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来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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