original ) (raw )Impact of Radar Data Assimilation on the Analysis and Prediction of the 8-9 May 2007 Oklahoma Tornadic Mesoscale Convective System, Part II: Sub-storm-scale Mesovortices on a 400 m Grid
K. Brewster
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The Analysis and Prediction of the 8–9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating WSR-88D and CASA Radar Data Using 3DVAR
K. Brewster
Monthly Weather Review, 2011
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P1. 6 HIGH RESOLUTION ASSIMILATION OF CASA RADAR DATA FROM A TORNADIC CONVECTIVE SYSTEM
Keith Brewster
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Impact of CASA Radar and Oklahoma Mesonet Data Assimilation on the Analysis and Prediction of Tornadic Mesovortices in an MCS
Keith Brewster
Monthly Weather Review, 2011
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Importance of Horizontally Inhomogeneous Environmental Initial Conditions to Ensemble Storm-Scale Radar Data Assimilation and Very Short-Range Forecasts
Jidong Gao
Monthly Weather Review, 2010
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Prediction of Convective Storms at Convection-Resolving 1 km Resolution over Continental United States with Radar Data Assimilation: An Example Case of 26 May 2008 and Precipitation Forecasts from Spring 2009
Yunheng Wang
Advances in Meteorology, 2013
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Assimilation of Doppler weather radar observations in a mesoscale model for the prediction of rainfall associated with mesoscale convective systems
Someshwar Das
Journal of Earth System Science, 2007
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Investigating the Impacts of Assimilating Surface Observations on High-Resolution Forecasts of the 15 May 2013 Tornado Event
Frederick Carr
E-Journal of Severe Storms Meteorology, 2015
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The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation
kelvin my
Meteorology and Atmospheric Physics, 2003
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Ensemble Probabilistic Forecasts of a Tornadic Mesoscale Convective System from Ensemble Kalman Filter Analyses Using WSR-88D and CASA Radar Data
Youngsun Jung
Monthly Weather Review, 2012
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3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR
Keith Brewster
Monthly Weather Review, 2006
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Impact of Doppler Radar Wind in Simulating the Intensity and Propagation of Rainbands Associated with Mesoscale Convective Complexes Using MM5-3DVAR System
Someshwar Das
Pure and Applied Geophysics, 2007
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Convection-Allowing and Convection-Parameterizing Ensemble Forecasts of a Mesoscale Convective Vortex and Associated Severe Weather Environment
William Gallus
Weather and Forecasting, 2010
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Storm-Scale Data Assimilation and Ensemble Forecasts for the 27 April 2011 Severe Weather Outbreak in Alabama
Patrick Minnis
Monthly Weather Review, 2015
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EFFICIENT ASSIMILATION OF RADAR DATA AT HIGH RESOLUTION FOR SHORT-RANGE NUMERICAL WEATHER PREDICTION
Keith Brewster
2000
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Prediction of Fort Worth tornadic thunderstorms using 3DVAR and cloud analysis with WSR-88D Level-II data
Keith Brewster
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Impact of a Diagnostic Pressure Equation Constraint on Tornadic Supercell Thunderstorm Forecasts Initialized Using 3DVAR Radar Data Assimilation
Jidong Gao
Advances in Meteorology, 2013
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Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment
Jason Levit , Yunheng Wang
Weather and Forecasting, 2010
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Prediction of convective storms at
Keith Brewster
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Development of a Mesoscale Ensemble Data Assimilation System at the Naval Research Laboratory
Qin Xu
Weather and Forecasting, 2013
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9B. 6 ANALYSIS OF MCV TORNADOES THROUGH STORM-SCALE DATA ASSIMILATION AND SIMULATIONS
Keith Brewster
2007
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Convective Modes for Significant Severe Thunderstorms in the Contiguous United States. Part III: Tropical Cyclone Tornadoes
Roger Edwards
Weather and Forecasting, 2012
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Improving Very-Short-Term Storm Predictions by Assimilating Radar and Satellite Data Into a Mesoscale NWP Model
Qin Xu
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8A.1 The Relative Importance of Assimilating Radial Velocity and Reflectivity Data to Storm-Scale Analysis and Forecast
Jidong Gao
2009
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Simultaneous radar and satellite data storm-scale assimilation using an ensemble Kalman filter approach for 24 May 2011
Patrick Minnis
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