Predictable equatorial Atlantic variability from atmospheric convection-ocean coupling

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Hyacinth C. Nnamchi, Mojib Latif
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Abstract

The Atlantic Niño exerts profound impacts on regional and global atmospheric circulation and climate, and on equatorial Atlantic biogeochemistry and ecosystems. However, the mode’s prediction remains a challenge which has been partly attributed to weak atmosphere-ocean coupling in the region. Here we introduce a framework that enhances the detection of the coupling between meridional migrations of atmospheric deep convection and zonal thermocline feedback. This approach reveals high predictive skill in a 196-member seasonal prediction ensemble, demonstrating robust predictability at 1–5-month forecast initialization lead times. The coupled mode is strongly correlated with land-precipitation variability across the tropics. The predictive skill largely originates in the Atlantic Ocean and is uncorrelated with El Niño Southern Oscillation in the Pacific, the leading mode of interannual climate variability globally. These skillful predictions raise hopes for enabled action in advance to avoid the most severe societal impacts in the affected countries.

Abstract Image

大气对流-海洋耦合带来的可预测赤道大西洋变率
大西洋Niño对区域和全球大气环流和气候以及赤道大西洋生物地球化学和生态系统有着深远的影响。然而,该模式的预测仍然是一个挑战,部分原因是该地区的大气-海洋耦合较弱。本文介绍了一种增强探测大气深层对流经向迁移与纬向温跃层反馈耦合的框架。该方法在196个成员的季节预测集合中显示出较高的预测技能,在1 - 5个月的预测初始提前期显示出强大的可预测性。这种耦合模式与整个热带地区的陆地降水变异性密切相关。这种预测能力主要来自大西洋,与厄尔尼诺Niño太平洋南方涛动无关,后者是全球年际气候变化的主要模式。这些巧妙的预测使人们对提前采取有力行动以避免受影响国家遭受最严重的社会影响抱有希望。
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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
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.
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