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Assessing trends in atmospheric circulation patterns across North America
International Journal of Climatology ( IF 3.5 ) Pub Date : 2020-12-24 , DOI: 10.1002/joc.6983
Erik T. Smith 1 , Omon Obarein 1 , Scott C. Sheridan 1 , Cameron C. Lee 1
Affiliation  

Circulation patterns (CPs) are discrete categorizations of spatial fields of atmospheric conditions, often used to examine the interaction between the overlying atmosphere and surface weather. Examining changes in the frequency of these atmospheric CPs may therefore help us better understand the relationship between a changing climate and the occurrence of extreme weather events. In this study, we use self‐organized maps to classify CPs from 500 mb geopotential heights (500z) and mean sea‐level pressure (MSLP) for five regions across North America, using two different reanalysis datasets. Trends in CPs (from 1979 to 2018) from both the North American Regional Reanalysis (NARR) and the recently released ERA5 datasets are compared using a new method in which the CPs from the ERA5 dataset are based on the principal components of the NARR data. This results in a more direct comparison between the CPs of each dataset. z500 CP trends were generally larger than the MSLP CP trends and the NARR CP trends were generally larger than the ERA5 CP trends. Furthermore, the most extreme summer‐dominant CPs were found to have increased significantly over the 40‐year study period in all five regions for both the NARR and ERA5 CPs.

中文翻译:

评估整个北美大气环流模式的趋势

环流模式(CPs)是大气条件空间场的离散分类,通常用于检查上层大气与地表天气之间的相互作用。因此,检查这些大气CP的频率变化可能有助于我们更好地了解气候变化与极端天气事件发生之间的关系。在本研究中,我们使用自组织地图对北美五个地区500 mb地势高度(500z)和平均海平面压力(MSLP)的CP进行了分类,并使用了两个不同的再分析数据集。使用一种新方法比较了北美区域再分析(NARR)和最近发布的ERA5数据集的CP趋势(从1979年到2018年),其中ERA5数据集的CP基于NARR数据的主要成分。这样可以更直接地比较每个数据集的CP。z500 CP趋势通常大于MSLP CP趋势,而NARR CP趋势通常大于ERA5 CP趋势。此外,在40年的研究期间,发现在所有五个地区,NARR和ERA5 CP的最极端夏季CP均显着增加。
更新日期:2020-12-24
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