Climatology and decadal changes of Arctic atmospheric rivers based on ERA5 and MERRA-2

Chen Zhang, W. Tung, W. Cleveland
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引用次数: 1

Abstract

We present the Arctic atmospheric river (AR) climatology based on twelve sets of labels derived from ERA5 and MERRA-2 reanalyses for 1980–2019. The ARs were identified and tracked in the 3-hourly reanalysis data with a multifactorial approach based on either atmospheric column-integrated water vapor (IWV) or integrated water vapor transport (IVT) exceeding one of the three climate thresholds (75th, 85th, and 95th percentiles). Time series analysis of the AR event counts from the AR labels showed overall upward trends from the mid-1990s to 2019. The 75th IVT- and IWV-based labels, as well as the 85th IWV-based labels, are likely more sensitive to Arctic surface warming, therefore, detected some broadening of AR-affected areas over time, while the rest of the labels did not. Spatial exploratory analysis of these labels revealed that the AR frequency of occurrence maxima shifted poleward from over-land in 1980–1999 to over the Arctic Ocean and its outlying Seas in 2000–2019. Regions across the Atlantic, the Arctic, to the Pacific Oceans trended higher AR occurrence, surface temperature, and column-integrated moisture. Meanwhile, ARs were increasingly responsible for the rising moisture transport into the Arctic. Even though the increase of Arctic AR occurrence was primarily associated with long-term Arctic surface warming and moistening, the effects of changing atmospheric circulation could stand out locally, such as on the Pacific side over the Chukchi Sea. The changing teleconnection patterns strongly modulated AR activities in time and space, with prominent anomalies in the Arctic-Pacific sector during the latest decade. Besides, the extreme events identified by the 95th-percentile labels displayed the most significant changes and were most influenced by the teleconnection patterns. The twelve Arctic AR labels and the detailed graphics in the atlas can help navigate the uncertainty of detecting and quantifying Arctic ARs and their associated effects in current and future studies.
基于ERA5和MERRA-2的北极大气河流气候学及年代际变化
基于ERA5和MERRA-2再分析得出的12组标签,提出了1980-2019年北极大气河(AR)气候学。利用多因子方法在3小时再分析数据中识别和跟踪ARs,该方法基于超过三个气候阈值(第75、85和95百分位)之一的大气柱综合水汽(IWV)或综合水汽输送(IVT)。从AR标签对AR事件计数进行的时间序列分析显示,从20世纪90年代中期到2019年,AR事件计数总体呈上升趋势。第75个基于IVT和iwv的标签,以及第85个基于iwv的标签,可能对北极表面变暖更敏感,因此,随着时间的推移,检测到ar影响区域的一些扩大,而其他标签则没有。对这些标签的空间探索性分析表明,AR发生频率最大值从1980-1999年的陆地向2000-2019年的北冰洋及其远海两极转移。横跨大西洋、北极和太平洋的地区呈现出更高的AR发生、地表温度和柱整体湿度的趋势。同时,ar对上升的水汽输送到北极的作用越来越大。尽管北极AR发生的增加主要与北极表面长期变暖和变湿有关,但大气环流变化的影响可能在局部突出,例如在楚科奇海上空的太平洋一侧。远程连接模式的变化在时间和空间上强烈地调节了AR活动,在最近十年中,北极-太平洋部分出现了明显的异常。此外,95百分位标签识别的极端事件变化最显著,受远相关模式的影响最大。地图集中的十二个北极AR标签和详细图形可以帮助导航探测和量化北极AR及其在当前和未来研究中的相关影响的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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