Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses

A typical storm-scale ensemble Kalman filter (EnKF) analysis/forecast system is shown to introduce imbalances into the ensemble posteriors that generate acoustic waves in subsequent integrations. When the EnKF is used to research storm-scale dynamics, the resulting spurious pressure oscillations are...

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Main Authors: Corey K. Potvin, Louis J. Wicker
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2013/624931
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author Corey K. Potvin
Louis J. Wicker
author_facet Corey K. Potvin
Louis J. Wicker
author_sort Corey K. Potvin
collection DOAJ
description A typical storm-scale ensemble Kalman filter (EnKF) analysis/forecast system is shown to introduce imbalances into the ensemble posteriors that generate acoustic waves in subsequent integrations. When the EnKF is used to research storm-scale dynamics, the resulting spurious pressure oscillations are large enough to impact investigation of processes driven by nonhydrostatic pressure gradient forces. Fortunately, thermodynamic retrieval techniques traditionally applied to dual-Doppler wind analyses can be adapted to diagnose the balanced portion of an EnKF pressure analysis, thereby eliminating the fast-mode pressure oscillations. The efficacy of this approach is demonstrated using a high-resolution supercell thunderstorm simulation as well as EnKF analyses of a simulated and a real supercell.
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institution Kabale University
issn 1687-9309
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publishDate 2013-01-01
publisher Wiley
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series Advances in Meteorology
spelling doaj-art-e40b8798643f456794945703f684e3892025-02-03T05:58:20ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/624931624931Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter AnalysesCorey K. Potvin0Louis J. Wicker1Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, USANOAA/OAR/National Severe Storms Laboratory, National Weather Center, 120 David L. Boren Boulevard, Norman, OK 73072, USAA typical storm-scale ensemble Kalman filter (EnKF) analysis/forecast system is shown to introduce imbalances into the ensemble posteriors that generate acoustic waves in subsequent integrations. When the EnKF is used to research storm-scale dynamics, the resulting spurious pressure oscillations are large enough to impact investigation of processes driven by nonhydrostatic pressure gradient forces. Fortunately, thermodynamic retrieval techniques traditionally applied to dual-Doppler wind analyses can be adapted to diagnose the balanced portion of an EnKF pressure analysis, thereby eliminating the fast-mode pressure oscillations. The efficacy of this approach is demonstrated using a high-resolution supercell thunderstorm simulation as well as EnKF analyses of a simulated and a real supercell.http://dx.doi.org/10.1155/2013/624931
spellingShingle Corey K. Potvin
Louis J. Wicker
Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
Advances in Meteorology
title Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
title_full Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
title_fullStr Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
title_full_unstemmed Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
title_short Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
title_sort correcting fast mode pressure errors in storm scale ensemble kalman filter analyses
url http://dx.doi.org/10.1155/2013/624931
work_keys_str_mv AT coreykpotvin correctingfastmodepressureerrorsinstormscaleensemblekalmanfilteranalyses
AT louisjwicker correctingfastmodepressureerrorsinstormscaleensemblekalmanfilteranalyses