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红海海表温度的年代际变化及其近期夏季增暖放大。

Decadal variability and recent summer warming amplification of the sea surface temperature in the Red Sea.

机构信息

Marine Physics Department, Faculty of Marine Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.

Weather Forecast Division, Sudan Meteorological Authority, Khartoum, Sudan.

出版信息

PLoS One. 2020 Sep 17;15(9):e0237436. doi: 10.1371/journal.pone.0237436. eCollection 2020.

Abstract

Under climate change, regional Sea Surface Temperature (SST) changes are a crucial factor affecting marine ecosystems, which thrive only within a certain thermal limit. Thirty-seven years of monthly gridded Optimum Interpolation SST data from 1982 to 2017 were used to investigate the decadal variability of this parameter in the Red Sea during the summer season, in relation to large-scale climate variability. We identified a non-uniform warming trend beginning around the mid-1990s over the whole basin, with a predominant amplified warming over the northern half (0.04°C year-1), which is approximately four times higher than the global warming trend, but much weaker warming over southern end (0.01°C year-1). It was found that the Atlantic Multi-Decadal Oscillation (AMO) and the Silk Road Pattern (SRP) are shaping the RS SST, since their phase shift concurs with the timing of the significant non-uniform warming over the basin. The AMO triggers the SRP-related vertical and horizontal temperature advection that leads to opposite changes in the SST. We suggest that warming is amplified over the basin due to an overlap with global warming signals. Our results have important implications for interannual and decadal SST predictions based on the predictability of AMO and SRP patterns.

摘要

在气候变化的影响下,区域海表温度(SST)的变化是影响海洋生态系统的关键因素,海洋生态系统只能在一定的热极限范围内生存。本研究使用 1982 年至 2017 年 37 年的逐月最优插值 SST 数据,研究了夏季红海这一参数的年代际可变性,及其与大尺度气候变率的关系。我们发现,整个海域从 20 世纪 90 年代中期开始出现非均匀变暖趋势,北部(0.04°C year-1)的增暖趋势更为明显,这一趋势大约是全球变暖趋势的四倍,但南部的增暖趋势较弱(0.01°C year-1)。研究结果表明,大西洋多年代际振荡(AMO)和丝绸之路模式(SRP)正在塑造红海 SST,因为它们的相位变化与海盆内显著非均匀增暖的时间一致。AMO 引发了与 SRP 相关的垂直和水平温度平流,导致 SST 的相反变化。我们认为,由于与全球变暖信号的重叠,盆地内的变暖趋势加剧。我们的研究结果对基于 AMO 和 SRP 模式可预测性的年际和年代际 SST 预测具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7142/7497996/ce14b256bdad/pone.0237436.g001.jpg

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