Yuanfang Chai, Yao Yue, Louise Slater, Chiyuan Miao
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引用次数: 0
Abstract
Projections of global terrestrial evapotranspiration (ET) are plagued by sizeable uncertainties. Here, we uncover bivariate emergent constraint relationships between projected global ET trends (2015–2100) and historical vapour pressure deficit (VPD) trends (1980–2014) under the low emission scenario of SSP126 when water supply is sufficient, and with historical precipitation trends under the high emission scenarios of SSP370 and SSP585 when water availability is limited, across 28 CMIP6 models. Combining multiple observational datasets into a Hierarchical Emergent Constraint framework, we find the raw CMIP6 models overestimate future annual ET growth rates. The original projections of 0.233 ± 0.107 mm year−1 (SSP126), 0.360 ± 0.244 mm year−1 (SSP370) and 0.506 ± 0.365 mm year−1 (SSP585) are adjusted downwards to 0.193 ± 0.074 mm year−1, 0.272 ± 0.184 mm year−1 and 0.391 ± 0.299 mm year−1. The revised projection uncertainties are reduced by 18.1–31.1%. These findings highlight the value of incorporating observational constraints to improve the reliability of ET projections, which are critical for understanding the future global water cycle.
全球陆地蒸散发(ET)的预估受到相当大的不确定性的困扰。本文通过28个CMIP6模型,揭示了供水充足时SSP126低排放情景下预估全球ET趋势(2015-2100)与历史水汽压亏缺(VPD)趋势(1980-2014)之间的二元紧急约束关系,以及供水有限时SSP370和SSP585高排放情景下的历史降水趋势之间的二元紧急约束关系。将多个观测数据集结合到一个分层紧急约束框架中,我们发现原始CMIP6模型高估了未来的年ET增长率。原预测值0.233±0.107 mm year - 1 (SSP126)、0.360±0.244 mm year - 1 (SSP370)和0.506±0.365 mm year - 1 (SSP585)下调为0.193±0.074 mm year - 1、0.272±0.184 mm year - 1和0.391±0.299 mm year - 1。修正后的预测不确定性降低了18.1-31.1%。这些发现强调了纳入观测约束来提高蒸散发预估可靠性的价值,这对于理解未来全球水循环至关重要。
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.