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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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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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. |
format | Article |
id | doaj-art-e40b8798643f456794945703f684e389 |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
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 |