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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Main Authors: DeVondria D. Reynolds, Anthony R. Lupo, Andrew D. Jensen, Patrick S. Market
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/1/5/87
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spelling 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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