An updated assessment of past and future warming over France based on a regional observational constraint

A. Ribes, J. Boé, S. Qasmi, B. Dubuisson, H. Douville, L. Terray
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引用次数: 14

Abstract

Abstract. Building on CMIP6 climate simulations, updated global and regional observations, and recently introduced statistical methods, we provide an updated assessment of past and future warming over France. Following the IPCC AR6 and recent global-scale studies, we combine model results with observations to constrain climate change at the regional scale. Over mainland France, the forced warming in 2020 with respect to 1900–1930 is assessed to be 1.66 [1.41 to 1.90] ∘C, i.e., in the upper range of the CMIP6 estimates, and is almost entirely human-induced. A refined view of the seasonality of this past warming is provided through updated daily climate normals. Projected warming in response to an intermediate emission scenario is assessed to be 3.8 ∘C (2.9 to 4.8 ∘C) in 2100 and rises up to 6.7 [5.2 to 8.2] ∘C in a very high emission scenario, i.e., substantially higher than in previous ensembles of global and regional simulations. Winter warming and summer warming are expected to be about 15 % lower than and 30 % higher than the annual mean warming, respectively, for all scenarios and time periods. This work highlights the importance of combining various lines of evidence, including model and observed data, to deliver the most reliable climate information. This refined regional assessment can feed adaptation planning for a range of activities and provides additional rationale for urgent climate action. Code is made available to facilitate replication over other areas or political entities.
基于区域观测约束对法国过去和未来变暖的最新评估
摘要在CMIP6气候模拟、最新的全球和区域观测以及最近引入的统计方法的基础上,我们对法国过去和未来的变暖进行了最新评估。根据IPCC AR6和最近的全球范围研究,我们将模型结果与观测结果相结合,以在区域范围内限制气候变化。在法国大陆,2020年相对于1900-1930年的强迫变暖估计为1.66[1.41至1.90] ∘C、 即,在CMIP6估计的上限范围内,并且几乎完全是人为引起的。通过更新的每日气候正常值,可以对过去变暖的季节性进行精细的观察。对中等排放情景的预测变暖估计为3.8 ∘C(2.9至4.8 ∘C) 2100年,上升到6.7[5.2到8.2] ∘C在非常高的排放情景中,即大大高于以前的全球和区域模拟。冬季变暖和夏季变暖预计约为15 % 低于和30 % 分别高于所有情景和时间段的年平均变暖。这项工作强调了将包括模型和观测数据在内的各种证据结合起来,以提供最可靠的气候信息的重要性。这种精细的区域评估可以为一系列活动的适应规划提供信息,并为紧急气候行动提供额外的理由。提供守则是为了方便在其他领域或政治实体进行复制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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