Projected changes in mean climate and extremes from downscaled high-resolution CMIP6 simulations in Australia

IF 6.1 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Climate Extremes Pub Date : 2024-10-16 DOI:10.1016/j.wace.2024.100733
Sarah Chapman , Jozef Syktus , Ralph Trancoso , Nathan Toombs , Rohan Eccles
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Abstract

High-resolution climate change projections are required to evaluate local and regional climate change impacts. We used CCAM (Conformal Cubic Atmospheric Model) to dynamically downscale CMIP6 GCMs (Global Climate Models) over Australia under three emissions scenarios, producing a set of 60 simulations at a 10 km resolution. Previous work has evaluated the performance of the downscaled models in the historical period. Here, we evaluate the impact of end-of-century climate change in the downscaled CMIP6-CCAM models for mean and extreme climate under three Shared Socioeconomic Pathways (SSP126, 245 and 370). We find the changes in mean climate are in general similar in the host CMIP6 and downscaled models. For extreme temperature, we find that extreme maximum temperatures (TXx) increase by 3.4 °C, while extreme minimum temperatures (TNn) warm by 3.0 °C. Extreme precipitation generally increases in summer and decreases in winter; however, there is a large amount of inter-model variation in the location and magnitude of change. Consecutive dry days also decrease in most areas in Austral summer and increase in Austral winter. Heatwaves become more frequent and hotter by the end of the century. These results suggest a hotter, wetter Austral summer, with longer, more frequent and more intense heatwaves, and a hotter and drier Austral winter in most areas. This dataset provides useful new high-resolution information on how climate change is likely to impact Australia, which will be a valuable resource to underpin local adaptation responses to future impacts.
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澳大利亚降尺度高分辨率 CMIP6 模拟对平均气候和极端气候的预测变化
评估地方和区域气候变化影响需要高分辨率的气候变化预测。我们利用 CCAM(共形立方大气模型)对三种排放情景下澳大利亚的 CMIP6 GCM(全球气候模型)进行了动态降尺度,产生了一组分辨率为 10 千米的 60 个模拟结果。以前的工作评估了降尺度模型在历史时期的性能。在此,我们评估了在三种共享社会经济路径(SSP126、245 和 370)下,缩小尺度的 CMIP6-CCAM 模型对平均气候和极端气候的世纪末气候变化的影响。我们发现,在 CMIP6 主模式和降尺度模式中,平均气温的变化基本相似。在极端气温方面,我们发现极端最高气温(TXx)升高了 3.4 ℃,而极端最低气温(TNn)升高了 3.0 ℃。极端降水量一般在夏季增加,冬季减少;然而,在变化的位置和幅度上,模式间存在很大差异。澳大拉西亚夏季大部分地区的连续干旱日也会减少,而澳大拉西亚冬季则会增加。到本世纪末,热浪会变得更加频繁和炎热。这些结果表明,澳大拉西亚夏季更热、更湿,热浪更长、更频繁、更剧烈,大部分地区的澳大拉西亚冬季更热、更干燥。该数据集提供了关于气候变化可能如何影响澳大利亚的有用的新的高分辨率信息,将成为支持当地适应未来影响的宝贵资源。
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来源期刊
Weather and Climate Extremes
Weather and Climate Extremes Earth and Planetary Sciences-Atmospheric Science
CiteScore
11.00
自引率
7.50%
发文量
102
审稿时长
33 weeks
期刊介绍: Weather and Climate Extremes Target Audience: Academics Decision makers International development agencies Non-governmental organizations (NGOs) Civil society Focus Areas: Research in weather and climate extremes Monitoring and early warning systems Assessment of vulnerability and impacts Developing and implementing intervention policies Effective risk management and adaptation practices Engagement of local communities in adopting coping strategies Information and communication strategies tailored to local and regional needs and circumstances
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