气候变化领域集成服务门户(CCPortal): Regional climate model projections underestimate future warming due to missing plant physiological CO2 response

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DOI	10.1088/1748-9326/ab4949
	Regional climate model projections underestimate future warming due to missing plant physiological CO2 response
	Schwingshackl C.; Davin E.L.; Hirschi M.; Sørland S.L.; Wartenburger R.; Seneviratne S.I.
发表日期	2019
ISSN	17489318
卷号	14 期号:11
英文摘要	Many countries rely on regional climate model (RCM) projections to quantify the impacts of climate change and to design their adaptation plans accordingly. In several European regions, RCMs project a smaller temperature increase than global climate models (GCMs), which is hypothesised to be due to discrepant representations of topography, cloud processes, or aerosol forcing in RCMs and GCMs. Additionally, RCMs do generally not consider the vegetation response to elevated atmospheric CO2 concentrations; a process which is, however, included in most GCMs. Plants adapt to higher CO2 concentrations by closing their stomata, which can lead to reduced transpiration with concomitant surface warming, in particular, during temperature extremes. Here we show that embedding plant physiological responses to elevated CO2 concentrations in an RCM leads to significantly higher projected extreme temperatures in Europe. Annual maximum temperatures rise additionally by about 0.6 K (0.1 K in southern, 1.2 K in northern Europe) by 2070-2099, explaining about 67% of the stronger annual maximum temperature increase in GCMs compared to RCMs. Missing plant physiological CO2 responses thus strongly contribute to the underestimation of temperature trends in RCMs. The need for robust climate change assessments calls for a comprehensive implementation of this process in RCM land surface schemes. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	climate change; CO2 effect; evapotranspiration; global climate modelling; near-surface air temperature; plant physiology; regional climate modelling
语种	英语
scopus关键词	Carbon dioxide; Climate change; Electric power system interconnection; Evapotranspiration; Physiological models; Physiology; Plant shutdowns; Topography; Climate change assessment; CO2 effect; Near surface air temperature; Physiological response; Plant physiology; Regional climate modeling; Regional climate modeling (RCM); Regional climate modelling; Climate models; carbon dioxide; climate change; climate forcing; climate modeling; climate prediction; concentration (composition); design; future prospect; physiology; regional climate; topography; transpiration; vegetation dynamics; warming; Europe
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154780
作者单位	Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland; Center for International Climate Research (CICERO), Oslo, Norway
推荐引用方式 GB/T 7714	Schwingshackl C.,Davin E.L.,Hirschi M.,et al. Regional climate model projections underestimate future warming due to missing plant physiological CO2 response[J],2019,14(11).
APA	Schwingshackl C.,Davin E.L.,Hirschi M.,Sørland S.L.,Wartenburger R.,&Seneviratne S.I..(2019).Regional climate model projections underestimate future warming due to missing plant physiological CO2 response.Environmental Research Letters,14(11).
MLA	Schwingshackl C.,et al."Regional climate model projections underestimate future warming due to missing plant physiological CO2 response".Environmental Research Letters 14.11(2019).