4.8 Review

Prediction and projection of heatwaves

期刊

NATURE REVIEWS EARTH & ENVIRONMENT
卷 4, 期 1, 页码 36-50

出版社

SPRINGERNATURE
DOI: 10.1038/s43017-022-00371-z

关键词

-

向作者/读者索取更多资源

Heatwaves pose a major threat to human health and ecosystems, and predicting them is crucial for preparedness. Current capabilities allow for skillful prediction of heatwaves on daily to weekly timescales, but become challenging beyond a few weeks. However, tendencies for above-average temperatures can still be estimated. Future projections suggest that heatwaves will become more frequent, persistent, and intense worldwide, with amplified trends in mid-latitudes due to soil drying. There will also be an increased occurrence of humid heatwaves, particularly in southern Asia. Improving heatwave prediction and projection requires a better understanding of relevant drivers and their model representation.
Heatwaves constitute a major threat to human health and ecosystems. Projected increases in heatwave frequency and severity thus lead to the need for prediction to enhance preparedness and minimize adverse impacts. In this Review, we document current capabilities for heatwave prediction at daily to decadal timescales and outline projected changes under anthropogenic warming. Various local and remote drivers and feedbacks influence heatwave development. On daily timescales, extratropical atmospheric blocking and global land-atmosphere coupling are most pertinent, and on subseasonal to seasonal timescales, soil moisture and ocean surface anomalies contribute. Knowledge of these drivers allows heatwaves to be skilfully predicted at daily to weekly lead times. Predictions are challenging beyond timescales of a few weeks, but tendencies for above-average temperatures can be estimated. Further into the future, heatwaves are anticipated to become more frequent, persistent and intense in nearly all inhabited regions, with trends amplified by soil drying in some areas, especially the mid-latitudes. There is also an increased occurrence of humid heatwaves, especially in southern Asia. A better understanding of the relevant drivers and their model representation, including atmospheric dynamics, atmospheric and soil moisture, and surface cover should be prioritized to improve heatwave prediction and projection.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据