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全球海洋热浪季节性预测。

Global seasonal forecasts of marine heatwaves.

机构信息

NOAA Southwest Fisheries Science Center, Monterey, CA, USA.

NOAA Physical Sciences Laboratory, Boulder, CO, USA.

出版信息

Nature. 2022 Apr;604(7906):486-490. doi: 10.1038/s41586-022-04573-9. Epub 2022 Apr 20.

DOI:10.1038/s41586-022-04573-9
PMID:35444322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9021020/
Abstract

Marine heatwaves (MHWs)-periods of exceptionally warm ocean temperature lasting weeks to years-are now widely recognized for their capacity to disrupt marine ecosystems. The substantial ecological and socioeconomic impacts of these extreme events present significant challenges to marine resource managers, who would benefit from forewarning of MHWs to facilitate proactive decision-making. However, despite extensive research into the physical drivers of MHWs, there has been no comprehensive global assessment of our ability to predict these events. Here we use a large multimodel ensemble of global climate forecasts to develop and assess MHW forecasts that cover the world's oceans with lead times of up to a year. Using 30 years of retrospective forecasts, we show that the onset, intensity and duration of MHWs are often predictable, with skilful forecasts possible from 1 to 12 months in advance depending on region, season and the state of large-scale climate modes, such as the El Niño/Southern Oscillation. We discuss considerations for setting decision thresholds based on the probability that a MHW will occur, empowering stakeholders to take appropriate actions based on their risk profile. These results highlight the potential for operational MHW forecasts, analogous to forecasts of extreme weather phenomena, to promote climate resilience in global marine ecosystems.

摘要

海洋热浪(MHWs)是指海洋温度异常升高持续数周到数年的时期,现在已经被广泛认为具有破坏海洋生态系统的能力。这些极端事件对海洋资源管理者造成了巨大的生态和社会经济影响,他们需要对 MHW 进行预警,以便能够提前做出决策。然而,尽管对 MHW 的物理驱动因素进行了广泛的研究,但我们还没有对预测这些事件的能力进行全面的全球评估。在这里,我们使用一个大型的全球气候预测多模式集合来开发和评估 MHW 预测,这些预测覆盖了全球海洋,提前期长达一年。使用 30 年的回溯预测,我们表明 MHW 的发生、强度和持续时间通常是可以预测的,根据地区、季节和大规模气候模式(如厄尔尼诺/南方涛动)的状态,提前 1 到 12 个月进行预测的准确率很高。我们讨论了基于 MHW 发生概率设定决策阈值的考虑因素,使利益相关者能够根据其风险状况采取适当的行动。这些结果突显了海洋热浪预测的潜力,类似于极端天气现象的预测,这将有助于提高全球海洋生态系统的气候适应能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/29b0214aeca4/41586_2022_4573_Fig12_ESM.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/5bf3bd69fdb2/41586_2022_4573_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/15018553d926/41586_2022_4573_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/336fb5541cb7/41586_2022_4573_Fig5_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/ad468290bef3/41586_2022_4573_Fig6_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/bed8d668bd58/41586_2022_4573_Fig7_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/50b86be7a72c/41586_2022_4573_Fig8_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/2c9707ad3af8/41586_2022_4573_Fig9_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/2f2f72694889/41586_2022_4573_Fig10_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/aeaffe84fd89/41586_2022_4573_Fig11_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/996e/9021020/29b0214aeca4/41586_2022_4573_Fig12_ESM.jpg

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