GSTDTAP  > 气候变化
DOI10.1029/2018GL079128
Understanding and Reducing Future Uncertainty in Midlatitude Daily Heat Extremes Via Land Surface Feedback Constraints
Donat, Markus G.1,2,3; Pitman, Andrew J.1,2; Angelil, Oliver1,2
2018-10-16
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2018
卷号45期号:19页码:10627-10636
文章类型Article
语种英语
国家Australia; Spain
英文摘要

Climate simulations of future hot extremes exhibit large uncertainties regarding the magnitude of projected warming. We identify two mechanisms that influence how strongly future heat extremes intensify in climate models. First, the magnitude of extreme temperature increases is determined by changes in preceding seasonal precipitation, connected to amplified warming via soil moisture decreases. Second, there are large differences in how models respond to moisture variability; those with a stronger response under current climate simulate larger future increases in hot extremes. We build on this mechanistic understanding of future uncertainty and develop a novel constraint, the observed precipitation-hot temperature relationship, focused on the conditions on the actual hottest day, to identify climate models with realistic land-atmosphere feedbacks on hot extremes. Applying this constraint to the Coupled Model Intercomparison Project Phase 5 ensemble reduces the probability of the largest increases in projected heat extremes, particularly over Europe and North America.


Plain Language Summary Climate model simulations of future hot temperature extremes agree on the regions of strongest warming but disagree on how much temperature will increase. We identify that a large part of the uncertainty is explained by intermodel differences in future precipitation changes, and differences in the model-specific strength of land-atmosphere feedbacks. We constrain the future climate model ensemble simulations by using only those models that simulate land-atmosphere feedbacks more similar to real-world observations over the past 60 years. This reduces the uncertainty of future changes by reducing the probability of the strongest increases in hot extremes particularly over Europe and North America.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000448656800067
WOS关键词CLIMATE-CHANGE ; SOIL-MOISTURE ; ATMOSPHERE FEEDBACKS ; TEMPERATURE EXTREMES ; HOT EXTREMES ; CMIP5 ; PROJECTIONS ; BIASES ; AMPLIFICATION ; INDEXES
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/26525
专题气候变化
作者单位1.Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia;
2.Univ New South Wales, ARC Ctr Excellence Climate Extremes, Sydney, NSW, Australia;
3.Barcelona Supercomp Ctr, Barcelona, Spain
推荐引用方式
GB/T 7714
Donat, Markus G.,Pitman, Andrew J.,Angelil, Oliver. Understanding and Reducing Future Uncertainty in Midlatitude Daily Heat Extremes Via Land Surface Feedback Constraints[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(19):10627-10636.
APA Donat, Markus G.,Pitman, Andrew J.,&Angelil, Oliver.(2018).Understanding and Reducing Future Uncertainty in Midlatitude Daily Heat Extremes Via Land Surface Feedback Constraints.GEOPHYSICAL RESEARCH LETTERS,45(19),10627-10636.
MLA Donat, Markus G.,et al."Understanding and Reducing Future Uncertainty in Midlatitude Daily Heat Extremes Via Land Surface Feedback Constraints".GEOPHYSICAL RESEARCH LETTERS 45.19(2018):10627-10636.
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