Application of Object-Based Time-Domain Diagnostics for Tracking Precipitation Systems in Convection-Allowing Models
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Adam J. Clark | Tara L. Jensen | Fanyou Kong | Ming Xue | Randy Bullock | M. Xue | A. Clark | T. Jensen | F. Kong | R. Bullock
[1] James Correia,et al. Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity , 2013 .
[2] M. Xue,et al. A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles , 2009 .
[3] Xuguang Wang,et al. Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part I: Development of the Object-Oriented Cluster Analysis Method for Precipitation Fields , 2011 .
[4] Xuguang Wang,et al. Object-Based Evaluation of a Storm-Scale Ensemble during the 2009 NOAA Hazardous Weather Testbed Spring Experiment , 2012 .
[5] S. J. Weiss,et al. Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP , 2008 .
[6] S. J. Weiss,et al. An Overview Of the 2010 hAzArdOus weAther testbed experimentAl fOrecAst prOgrAm spring experiment , 2012 .
[7] Stuart D. Miller. Preliminary assessment of timing differences between convective initiation and severe initiation , 2012 .
[8] J. Dudhia,et al. Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .
[9] John S. Kain,et al. Extracting Unique Information from High-Resolution Forecast Models: Monitoring Selected Fields and Phenomena Every Time Step , 2010 .
[10] Mingjing Tong,et al. Ensemble Kalman Filter Analyses of the 29–30 May 2004 Oklahoma Tornadic Thunderstorm Using One- and Two-Moment Bulk Microphysics Schemes, with Verification against Polarimetric Radar Data , 2012 .
[11] Valliappa Lakshmanan,et al. An Efficient , General-Purpose Technique to Identify Storm Cells in Geospatial Images , 2010 .
[12] Elizabeth E. Ebert,et al. Toward Better Understanding of the Contiguous Rain Area (CRA) Method for Spatial Forecast Verification , 2009 .
[13] M. Chou,et al. Technical report series on global modeling and data assimilation. Volume 3: An efficient thermal infrared radiation parameterization for use in general circulation models , 1994 .
[14] John D. Tuttle,et al. Inferences of Predictability Associated with Warm Season Precipitation Episodes , 2001 .
[15] J. Dudhia,et al. Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part II: Preliminary Model Validation , 2001 .
[16] J. McBride,et al. Verification of precipitation in weather systems: determination of systematic errors , 2000 .
[17] Fanyou Kong,et al. Evaluation of CAPS multi-model storm-scale ensemble forecast for the NOAA HWT 2010 Spring Experiment , 2010 .
[18] Song-You Hong,et al. Development of an Effective Double-Moment Cloud Microphysics Scheme with Prognostic Cloud Condensation Nuclei (CCN) for Weather and Climate Models , 2010 .
[19] J. Curry,et al. A New Double-Moment Microphysics Parameterization for Application in Cloud and Climate Models. Part I: Description , 2005 .
[20] Jason E. Nachamkin,et al. Mesoscale Verification Using Meteorological Composites , 2004 .
[21] S. J. Weiss,et al. Toward Improved Convection-Allowing Ensembles: Model Physics Sensitivities and Optimizing Probabilistic Guidance with Small Ensemble Membership , 2010 .
[22] G. Powers,et al. A Description of the Advanced Research WRF Version 3 , 2008 .
[23] A. Speranza,et al. Sensitivity of Precipitation Forecast Skill Scores to Bilinear Interpolation and a Simple Nearest-Neighbor Average Method on High-Resolution Verification Grids , 2003 .
[24] G. Bryan,et al. Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics , 2012 .
[25] Fanyou Kong,et al. Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Ensemble Clustering over the Whole Experiment Period , 2011 .
[26] Tara L. Jensen. An Overview of the Objective Evaluation Performed During the Hazardous Weather Testbed (HWT) 2010 Spring Experimen , 2010 .
[27] B. Brown,et al. Object-Based Verification of Precipitation Forecasts. Part I: Methodology and Application to Mesoscale Rain Areas , 2006 .
[28] James Correia,et al. A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit , 2012 .
[29] Barbara G. Brown,et al. Forecast verification: current status and future directions , 2008 .
[30] N. Roberts,et al. Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events , 2008 .
[31] Neil I. Fox,et al. An Object-Oriented Multiscale Verification Scheme , 2010 .
[32] E. Rogers,et al. The NCEP North American Mesoscale Modeling System : Recent changes and future plans , 2009 .
[33] Christopher A. Davis,et al. Corridors of Warm Season Precipitation in the Central United States , 2006 .
[34] E. Lorenz. The predictability of a flow which possesses many scales of motion , 1969 .
[35] C. Snyder,et al. Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter , 2003 .
[36] Xuguang Wang,et al. Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing Ensemble , 2012 .
[37] B. Brown,et al. The Method for Object-Based Diagnostic Evaluation (MODE) Applied to Numerical Forecasts from the 2005 NSSL/SPC Spring Program , 2009 .
[38] B. Brown,et al. Object-Based Verification of Precipitation Forecasts. Part II: Application to Convective Rain Systems , 2006 .
[39] Jidong Gao,et al. The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation , 2003 .
[40] G. Mellor,et al. Development of a turbulence closure model for geophysical fluid problems , 1982 .
[41] Ming Hu,et al. Impact of Configurations of Rapid Intermittent Assimilation of Wsr-88d Radar Data for the 8 May 2003 Oklahoma City Tornadic Thunderstorm Case , 2022 .
[42] Song‐You Hong,et al. The WRF Single-Moment 6-Class Microphysics Scheme (WSM6) , 2006 .
[43] Zaviša I. Janić. Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model , 2001 .
[44] C. Frei,et al. SAL—A Novel Quality Measure for the Verification of Quantitative Precipitation Forecasts , 2008 .
[45] Jidong Gao,et al. A Three-Dimensional Variational Data Analysis Method with Recursive Filter for Doppler Radars , 2004 .
[46] W. Gallus,et al. Neighborhood-Based Verification of Precipitation Forecasts from Convection-Allowing NCAR WRF Model Simulations and the Operational NAM , 2010 .
[47] Christopher A. Davis,et al. Initiation of precipitation episodes relative to elevated terrain , 2004 .
[48] E. Lorenz,et al. The predictability of a flow which possesses many scales of motion , 1969 .
[49] Rebecca D. Adams-Selin,et al. Sensitivity of Bow-Echo Simulation to Microphysical Parameterizations , 2013 .
[50] Fanyou Kong,et al. Object-Based Evaluation of the Impact of Horizontal Grid Spacing on Convection-Allowing Forecasts , 2013 .
[51] S. J. Weiss,et al. Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting-Research Environment , 2010 .
[52] Daniel T. Dawson,et al. Comparison of Evaporation and Cold Pool Development between Single-moment and Multi-moment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms , 2009 .
[53] Kevin W. Manning,et al. Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis , 2004 .
[54] M. Xue. 3B.1 CAPS REALTIME STORM-SCALE ENSEMBLE AND HIGH-RESOLUTION FORECASTS AS PART OF THE NOAA HAZARDOUS WEATHER TESTBED 2007 SPRING EXPERIMENT , 2007 .
[55] E. Mlawer,et al. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .
[56] Mingjing Tong,et al. Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments , 2005 .
[57] W. Skamarock,et al. The Impact of Positive-Definite Moisture Transport on NWP Precipitation Forecasts , 2009 .
[58] M. Xue,et al. 3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part I: Cloud Analysis and Its Impact , 2006 .
[59] William A. Gallus,et al. The Impact of Large-Scale Forcing on Skill of Simulated Convective Initiation and Upscale Evolution with Convection-Allowing Grid Spacings in the WRF* , 2013 .
[60] Guifu Zhang,et al. The Analysis and Prediction of Microphysical States and Polarimetric Radar Variables in a Mesoscale Convective System Using Double-Moment Microphysics, Multinetwork Radar Data, and the Ensemble Kalman Filter , 2014 .
[61] James Correia,et al. Forecasting Tornado Pathlengths Using a Three-Dimensional Object Identification Algorithm Applied to Convection-Allowing Forecasts , 2012 .