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Proceedings 2017, 1(5), 87; doi:10.3390/ecas2017-04128

The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System

Atmospheric Science Program, 302 ABNR Building, University of Missouri, Columbia, MO 65211, USA
Department of Mathematics and Meteorology, Northland College, Ashland, WI 54806, USA
Presented at the 2nd International Electronic Conference on Atmospheric Sciences, 16–31 July 2017; Available online:
Author to whom correspondence should be addressed.
Published: 17 July 2017
(This article belongs to the Proceedings of the 2nd International Electronic Conference on Atmospheric Sciences)
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Some weather extremes can be the result of atmospheric blocking, which can be responsible for the stagnation of weather patterns. These large-scale quasi-stationary mid-latitude flow regimes can result in significant temperature and precipitation anomalies in the regions that the blocking event impacts. The ability to predict periods of anomalous weather conditions due to atmospheric blocking is a major problem for medium-range forecasting. Analyzing the NCEP Ensemble 500-mb pressure heights (240 h) ten-day forecasts, and using the University of Missouri blocking archive to identify blocking event, the forecasted duration and intensity of model blocking events are compared to observed blocks. Comparing these differences using four case studies occurring over a one-year period across the Northern Hemisphere has shown the continued need for improvement of the duration and intensity of blocking events. Additionally, a comparison of the block intensity to a diagnostic known as the Integrated Regional Enstrophy (IRE) was performed in order to determine if there is a correlation between these quantities. Having a better understanding of knowing how long each block will last and their associated anomalies can help society prepare for the damage they can cause. Simulating and identifying blocks correctly is important in improving forecast issues.
Keywords: blocking; forecasting; ensembles; block intensity; integrated regional enstrophy blocking; forecasting; ensembles; block intensity; integrated regional enstrophy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Reynolds, D.D.; Lupo, A.R.; Jensen, A.D.; Market, P.S. The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System. Proceedings 2017, 1, 87.

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