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Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses
Joint Authors
Wicker, Louis J.
Potvin, Corey K.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Potvin, Corey K.& Wicker, Louis J.. 2013. Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses. Advances in Meteorology،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-486087
Modern Language Association (MLA)
Potvin, Corey K.& Wicker, Louis J.. Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses. Advances in Meteorology No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-486087
American Medical Association (AMA)
Potvin, Corey K.& Wicker, Louis J.. Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses. Advances in Meteorology. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-486087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486087