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历史和未来的最高海面温度。

Historical and future maximum sea surface temperatures.

作者信息

Cael B B, Burger Friedrich A, Henson Stephanie A, Britten Gregory L, Frölicher Thomas L

机构信息

National Oceanography Centre, Southampton, UK.

Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland.

出版信息

Sci Adv. 2024 Jan 26;10(4):eadj5569. doi: 10.1126/sciadv.adj5569.

Abstract

Marine heat waves affect ocean ecosystems and are expected to become more frequent and intense. Earth system models' ability to reproduce extreme ocean temperature statistics has not been tested quantitatively, making the reliability of their future projections of marine heat waves uncertain. We demonstrate that annual maxima of detrended anomalies in daily mean sea surface temperatures (SSTs) over 39 years of global satellite observations are described excellently by the generalized extreme value distribution. If models can reproduce the observed distribution of SST extremes, this increases confidence in their marine heat wave projections. 14 CMIP6 models' historical realizations reproduce the satellite-based distribution and its parameters' spatial patterns. We find that maximum ocean temperatures will become warmer (by 1.07° ± 0.17°C under 2°C warming and 2.04° ± 0.18°C under 3.2°C warming). These changes are mainly due to mean SST increases, slightly reinforced by SST seasonality increases. Our study quantifies ocean temperature extremes and gives confidence to model projections of marine heat waves.

摘要

海洋热浪会影响海洋生态系统,而且预计其发生频率会更高,强度会更大。地球系统模型再现极端海洋温度统计数据的能力尚未经过定量测试,这使得其对未来海洋热浪预测的可靠性存在不确定性。我们证明,在39年的全球卫星观测中,日平均海表温度(SST)的去趋势异常的年度最大值可以用广义极值分布很好地描述。如果模型能够再现观测到的SST极值分布,那么这会增加对其海洋热浪预测的信心。14个CMIP6模型的历史实现再现了基于卫星的分布及其参数的空间模式。我们发现,海洋最高温度将会变得更高(在升温2°C的情况下升高1.07°±0.17°C,在升温3.2°C的情况下升高2.04°±0.18°C)。这些变化主要是由于平均SST升高,SST季节性增强略有加剧。我们的研究对海洋温度极值进行了量化,并增强了对海洋热浪模型预测的信心。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fce/10816719/f7737e344a89/sciadv.adj5569-f1.jpg

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