Marquardt Collow Allison B, Bosilovich Michael G, Koster Randal D
Universities Space Research Association, Columbia, Maryland and Goddard Earth Sciences Technology and Research, Greenbelt, Maryland.
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland.
J Hydrometeorol. 2016 Dec;Volume 17(No 12):3045-3061. doi: 10.1175/JHM-D-16-0091.1. Epub 2016 Dec 9.
Observations indicate that over the last few decades there has been a statistically significant increase in precipitation in the Northeastern United States and that this can be attributed to an increase in precipitation associated with extreme precipitation events. Here we use a state-of-the-art atmospheric reanalysis to examine such events in detail. Daily extreme precipitation events defined at the 75 and 95 percentile from gridded gauge observations are identified for a selected region within the Northeast. Atmospheric variables from the Modern Era Retrospective Analysis for Research and Applications - Version 2 (MERRA-2) are then composited during these events to illustrate the time evolution of associated synoptic structures, with a focus on vertically integrated water vapor fluxes, sea level pressure, and 500 hPa heights. Anomalies of these fields move into the region from the northwest, with stronger anomalies present in the 95 percentile case. Although previous studies show tropical cyclones are responsible for the most intense extreme precipitation events, only 10% of the events in this study are caused by tropical cyclones. On the other hand, extreme events resulting from cut off low pressure systems have increased. The time period of the study was divided in half to determine how the mean composite has changed over time. An arc of lower sea level pressure along the east coast and a change in the vertical profile of equivalent potential temperature suggest a possible increase in the frequency or intensity of synoptic scale baroclinic disturbances.
观测结果表明,在过去几十年里,美国东北部的降水量在统计上有显著增加,这可归因于与极端降水事件相关的降水量增加。在此,我们使用一种先进的大气再分析方法来详细研究此类事件。根据网格化雨量计观测数据,确定东北部选定区域内75%和95%百分位数处的每日极端降水事件。然后,在这些事件期间,对现代气候研究与应用回顾分析第二版(MERRA - 2)中的大气变量进行合成,以说明相关天气尺度结构的时间演变,重点关注垂直积分水汽通量、海平面气压和500百帕高度。这些场的异常从西北方向进入该区域,在95%百分位数的情况下异常更强。尽管先前的研究表明热带气旋是造成最强烈极端降水事件的原因,但本研究中只有10%的事件是由热带气旋引起的。另一方面,切断低压系统导致的极端事件有所增加。研究时间段被分成两半,以确定平均合成结果随时间如何变化。东海岸沿线海平面气压较低的弧线以及相当位温垂直剖面的变化表明,天气尺度斜压扰动的频率或强度可能增加。