Extended Abstract (1.1M)3B.3
Ensemble Kalman filter assimilation of Doppler radar data: Analyses and short-term forecasts of a developing MCS
Michael C. Coniglio, CIMMS/Univ. of Oklahoma, Norman, OK; and D. C. Dowell and L. J. Wicker
Recent efforts at the National Severe Storms Laboratory and the University of Oklahoma/Center for Analysis and Prediction of Storms have shown the positive impact of assimilating real Doppler velocity and reflectivity observations using an Ensemble Kalman Filter (EnKF) technique for the storm-scale analysis of supercell thunderstorms. Recently, the utility of this technique to other convective modes with multiple updrafts and more complex evolutions has been shown with analyses of the 16-17 June 2005 severe bow echo MCS across Oklahoma. It is well known that an accurate depiction of convective system cold pools is a prerequisite for the accurate short-term (1-12 h) prediction of MCSs by high-resolution numerical models. One of the most promising aspects of the analysis is the detailed and accurate depiction of the cold convective outflow and the robustness of the analyses to changes in the experimental design (although the well-known sensitivity to microphysics is still apparent). This talk will highlight the successful analysis of this event and discuss the mechanics of the EnKF procedure applied to a real and complex convective situation. In addition, the relative merits of 1-h forecasts produced from the EnKF analyses and the many outstanding issues that need to be addressed before these techniques can be applied in real time will be discussed.
Uploaded Presentation File(s):
Coniglio_ENKF.ppt
Session 3B, Mesoscale and Storm-Scale NWP
Tuesday, 26 June 2007, 2:00 PM-3:45 PM, Summit B
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