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Climate models predict increasing temperature variability in poor countries

机译:气候模型预测贫穷国家的温度变化将加剧

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摘要

Extreme events such as heat waves are among the most challenging aspects of climate change for societies. We show that climate models consistently project increases in temperature variability in tropical countries over the coming decades, with the Amazon as a particular hotspot of concern. During the season with maximum insolation, temperature variability increases by ~15% per degree of global warming in Amazonia and Southern Africa and by up to 10%°C−1 in the Sahel, India, and Southeast Asia. Mechanisms include drying soils and shifts in atmospheric structure. Outside the tropics, temperature variability is projected to decrease on average because of a reduced meridional temperature gradient and sea-ice loss. The countries that have contributed least to climate change, and are most vulnerable to extreme events, are projected to experience the strongest increase in variability. These changes would therefore amplify the inequality associated with the impacts of a changing climate.
机译:热浪等极端事件是社会气候变化最具挑战性的方面之一。我们表明,气候模型始终预测热带国家在未来几十年内的温度变异性会增加,其中亚马逊成为人们特别关注的热点。在日照最大的季节,亚马逊地区和南部非洲的全球变暖程度使温度变化每度升高约15%,而萨赫勒地区,印度和东南亚的温度变化高达10%°C -1 。机制包括土壤干燥和大气结构变化。在热带地区以外,由于子午温度梯度和海冰损失减少,预计温度变化平均会降低。预计对气候变化影响最小,最易受极端事件影响的国家的变异性将增长最明显。因此,这些变化将加剧与气候变化影响相关的不平等。

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