Updating the Baseline Period Affects the Detection of Extreme Climate Change in China

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2025-03-29 DOI:10.1029/2024JD042704
Lan Li, Tianjun Zhou, Wenxia Zhang
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Abstract

Extreme climate events significantly impact ecosystems and society. The assessments of extreme events often rely on percentile-based indices using a 30-year baseline period. In China, the Blue Book on Climate Change has traditionally been based on the 1981–2010 baseline period, and it began to use the 1991–2020 baseline period since 2024. However, the impact of baseline changes on assessing extremes in China remains unclear. This study examines how baseline period updates influence the detection of long-term climate change in China, particularly in estimating the Time of Emergence (ToE) for climate change signals. The results show that for temperature extremes, updating the baseline period leads to more (10%∼38%) cold extremes identified by 10th percentile indices and fewer (−32%∼−11%) warm extremes identified by 90th percentile indices across China. It slows the increase in identified warm extremes and accelerates the decrease in cold extremes. It delays the ToE for warm events and advances the ToE for cold events. For precipitation extremes, the update leads to fewer (−12%∼−1%) but more intense (at most 4%) extreme precipitation events identified by 95th and 99th percentile indices across China with slower increases in frequency and faster rises in intensity. The baseline period update advances the ToE for extreme precipitation intensity and delays it for frequency. The update of the baseline significantly affects the assessment of changes in climate extremes in China due to the background warming and wetting in 1991–2020 compared to 1981–2010.

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更新基线期对中国极端气候变化检测的影响
极端气候事件对生态系统和社会产生重大影响。对极端事件的评估通常依赖于使用30年基准期的百分位数指数。在中国,《气候变化蓝皮书》传统上以1981-2010年为基准期,从2024年开始使用1991-2020年为基准期。然而,基线变化对评估中国极端事件的影响仍不清楚。本研究探讨了基线期更新如何影响中国长期气候变化的检测,特别是在估计气候变化信号的出现时间(ToE)方面。结果表明,对于极端温度,基线周期的更新导致全国范围内第10百分位指数识别的极端寒冷事件增加(10% ~ 38%),第90百分位指数识别的极端温暖事件减少(- 32% ~ - 11%)。它减缓了已确定的极端温暖天气的增加,加速了极端寒冷天气的减少。对于热事件,它延迟ToE,对于冷事件,它提前ToE。对于极端降水事件,更新导致全国95和99百分位指数识别的极端降水事件减少(- 12% ~ - 1%),但强度增加(最多4%),频率增加较慢,强度增加较快。基线周期的更新提前了极端降水强度的ToE,延迟了极端降水频率的ToE。与1981-2010年相比,基线的更新显著影响了1991-2020年中国因背景增湿导致的极端气候变化的评估。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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