Multi-month forecasts of marine heatwaves and ocean acidification extremes

IF 15.7 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Samuel C. Mogen, Nicole S. Lovenduski, Stephen G. Yeager, Antonietta Capotondi, Michael G. Jacox, Stephen Bograd, Emanuele Di Lorenzo, Elliot L. Hazen, Mercedes Pozo Buil, Who Kim, Nan Rosenbloom
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Abstract

Marine heatwaves and ocean acidification extreme events are periods during which temperature and acidification reach statistically extreme levels (90th percentile), relative to normal variability, potentially endangering ecosystems. As the threats from marine heatwaves and ocean acidification extreme events grow with climate change, there is need for skilful predictions of events months to years in advance. Previous work has demonstrated that climate models can predict marine heatwaves up to 12 months in advance in key regions, but forecasting of ocean acidification extreme events has been difficult due to the complexity of the processes leading to extremes and sparse observations. Here we use the Community Earth System Model Seasonal-to-Multiyear Large Ensemble to make predictions of marine heatwaves and two forms of ocean acidification extreme events, as defined by anomalies in hydrogen ion concentration and aragonite saturation state. We show that the ensemble skilfully predicts marine heatwaves and ocean acidification extreme events as defined by aragonite saturation state up to 1 year in advance. Predictive skill for ocean acidification extremes as defined by hydrogen ion concentration is lower, probably reflecting mismatch between model and observed state. Skill is highest in the eastern Pacific, reflecting the predictable contribution of El Niño/Southern Oscillation to regional variability. A forecast generated in late 2023 during the 2023–2024 El Niño event finds high likelihood for widespread marine heatwaves and ocean acidification extreme events in 2024.

Abstract Image

海洋热浪和海洋酸化极端事件的多月预报
海洋热浪和海洋酸化极端事件是指相对于正常变化而言,温度和酸化达到统计意义上的极端水平(第 90 百分位数),可能危及生态系统的时期。随着气候变化,海洋热浪和海洋酸化极端事件的威胁也越来越大,因此需要提前数月至数年对事件进行娴熟的预测。以往的工作表明,气候模式可以提前 12 个月预测主要地区的海洋热浪,但由于导致极端事件的过程复杂且观测稀少,海洋酸化极端事件的预测一直很困难。在这里,我们利用群落地球系统模式季节-多年大型集合来预测海洋热浪和两种形式的海洋酸化极端事件,这两种极端事件是由氢离子浓度和文石饱和状态的异常所定义的。我们的研究表明,该集合可提前一年娴熟地预测海洋热浪和以霰石饱和状态定义的海洋酸化极端事件。对以氢离子浓度定义的海洋酸化极端事件的预测能力较低,这可能反映了模式与观测状态之间的不匹配。东太平洋的预测技能最高,反映了厄尔尼诺/南方涛动对区域变化的可预测性。在 2023-2024 年厄尔尼诺现象期间于 2023 年底生成的预测发现,2024 年发生大范围海洋热浪和海洋酸化极端事件的可能性很高。
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来源期刊
Nature Geoscience
Nature Geoscience 地学-地球科学综合
CiteScore
26.70
自引率
1.60%
发文量
187
审稿时长
3.3 months
期刊介绍: Nature Geoscience is a monthly interdisciplinary journal that gathers top-tier research spanning Earth Sciences and related fields. The journal covers all geoscience disciplines, including fieldwork, modeling, and theoretical studies. Topics include atmospheric science, biogeochemistry, climate science, geobiology, geochemistry, geoinformatics, remote sensing, geology, geomagnetism, paleomagnetism, geomorphology, geophysics, glaciology, hydrology, limnology, mineralogy, oceanography, paleontology, paleoclimatology, paleoceanography, petrology, planetary science, seismology, space physics, tectonics, and volcanology. Nature Geoscience upholds its commitment to publishing significant, high-quality Earth Sciences research through fair, rapid, and rigorous peer review, overseen by a team of full-time professional editors.
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