Predictable Patterns of Seasonal Atmospheric River Variability Over North America During Winter

IF 4.6 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Joseph P. Clark, Nathaniel C. Johnson, Mingyu Park, Miguel Bernardez, Thomas L. Delworth
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引用次数: 0

Abstract

Atmospheric rivers (ARs) are elongated areas of pronounced atmospheric water vapor transport that play an important role in the hydrological cycle over North America during winter. We investigate the sources of winter seasonal AR predictability over North America using average predictability time (APT) analysis. The skill of seasonal AR frequency predictions, in dynamical model forecasts provided by the Seamless System for Prediction and Earth System Research, is nearly entirely attributable to three physically interpretable APT modes that together represent about 19% of the total seasonal AR frequency variance. These three modes represent the AR response to the El Niño-Southern Oscillation, anthropogenic forcing and equatorial heating over the eastern flank of the western Pacific warm pool, respectively. We further show that these three modes, calculated from AR frequency, explain nearly all winter seasonal precipitation forecast skill over North America.

Abstract Image

北美冬季季节大气河流变化的可预测模式
大气河流(ARs)是明显的大气水汽输送的细长区域,在北美冬季的水文循环中起着重要作用。我们使用平均可预测时间(APT)分析来研究北美冬季季节性AR可预测性的来源。在预测和地球系统研究无缝系统提供的动态模式预测中,季节性AR频率预测的技能几乎完全归因于三种物理上可解释的APT模式,它们共占季节性AR总频率方差的19%。这三种模态分别代表了对El Niño-Southern涛动、人为强迫和西太平洋暖池东翼赤道加热的AR响应。我们进一步表明,这三种模式,由AR频率计算,解释了几乎所有冬季季节降水预测技能在北美。
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来源期刊
Geophysical Research Letters
Geophysical Research Letters 地学-地球科学综合
CiteScore
9.00
自引率
9.60%
发文量
1588
审稿时长
2.2 months
期刊介绍: Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.
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