The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System
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 impa...
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doaj-82557f1ce7594decab522b5d24f661632020-11-25T00:29:48ZengMDPI AGProceedings2504-39002017-07-01158710.3390/ecas2017-04128ecas2017-04128The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast SystemDeVondria D. Reynolds0Anthony R. Lupo1Andrew D. Jensen2Patrick S. Market3Atmospheric Science Program, 302 ABNR Building, University of Missouri, Columbia, MO 65211, USAAtmospheric Science Program, 302 ABNR Building, University of Missouri, Columbia, MO 65211, USADepartment of Mathematics and Meteorology, Northland College, Ashland, WI 54806, USAAtmospheric Science Program, 302 ABNR Building, University of Missouri, Columbia, MO 65211, USASome 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.https://www.mdpi.com/2504-3900/1/5/87blockingforecastingensemblesblock intensityintegrated regional enstrophy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
DeVondria D. Reynolds Anthony R. Lupo Andrew D. Jensen Patrick S. Market |
spellingShingle |
DeVondria D. Reynolds Anthony R. Lupo Andrew D. Jensen Patrick S. Market The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System Proceedings blocking forecasting ensembles block intensity integrated regional enstrophy |
author_facet |
DeVondria D. Reynolds Anthony R. Lupo Andrew D. Jensen Patrick S. Market |
author_sort |
DeVondria D. Reynolds |
title |
The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System |
title_short |
The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System |
title_full |
The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System |
title_fullStr |
The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System |
title_full_unstemmed |
The Predictability of Northern Hemispheric Blocking Using an Ensemble Mean Forecast System |
title_sort |
predictability of northern hemispheric blocking using an ensemble mean forecast system |
publisher |
MDPI AG |
series |
Proceedings |
issn |
2504-3900 |
publishDate |
2017-07-01 |
description |
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. |
topic |
blocking forecasting ensembles block intensity integrated regional enstrophy |
url |
https://www.mdpi.com/2504-3900/1/5/87 |
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