Browsing OU - Dissertations by Author "Xue, Ming"
Now showing items 1-20 of 27
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Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data
Mahale, Vivek (2019-05-10)A significant, wet downburst affected Norman, Oklahoma, on 14 June 2011. Surface winds in excess of 35 m/s (>80 mph) and hailstones in excess of 4 cm diameter occurred during the downburst. The polarimetric S-band (~11.09-cm ... -
Application of Compressive Sensing to Weather Radars
Ozturk, Serkan (2016-12-16)The capability and importance of weather radar are proven for hazardous weathers detection, monitoring, and prediction in both research and operations. Continuous efforts have been made in improving radar performance in ... -
Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics
Jabrzemski, Rafal (2014-05)The analysis of the dynamics of a tracer/drifter/buoy floating on the free surface of the water waves in the open ocean whose motion is described by the shallow water model equations is of great interest in Lagrangian data ... -
APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES
Dong, Jili (2010)For the numerical prediction of severe thunderstorm and hurricane, data assimilation is one of the necessary tools to obtain accurate initial conditions. Ensemble Kalman filter (EnKF) is a state of the art data assimilation ... -
ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS
Johnson, Marcus (2019-05)Optimal hydrometeor parameterization and their associated processes in microphysics schemes (both spectral bin and bulk) continue to evolve as these schemes attempt to match observed hydrometeor complexity. This dissertation ... -
Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting
Snook, Nathan A. (2011)Two sets of experiments are performed to examine the ability of a storm-scale numerical weather prediction (NWP) model to predict precipitation and meso-vortices within the tornadic mesoscale convective system (MCS) that ... -
Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments
Sobash, Ryan (2013-12)Convective-scale observing system simulation experiments (OSSEs) and real-data experiments were performed to study the impact of radar and surface observations on analyses and forecasts of convective systems using the ... -
Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
Gagne, David John II (2016-08-12)Meteorologists have access to more model guidance and observations than ever before, but this additional information does not necessarily lead to better forecasts. New tools are needed to reduce the cognitive load on ... -
Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior
Dahl, Nathan (2014-05-09)The cost of wildfire suppression in the United States has risen dramatically over the last 20 years. As the interface between wildland and urban areas expands, increased emphasis is being placed on rapid, efficient deployment ... -
Cyclic tornadogenesis and horizontal vortex tubes in high-resolution idealized simulations of supercells
Ilha de Oliveira, Mauricio (2021-12)Despite enormous progress in our understanding of tornadic supercells obtained over the last several decades, many aspects regarding the evolution of these storms and their attendant tornadoes require further investigation. ... -
Development and evaluation of a hydrological and hydraulic coupled flood prediction system enabled by remote sensing, numerical weather prediction, and deep learning technologies
Chen, Mengye (2021-05-14)Floods triggered by extreme precipitation are the most frequently occurring and disastrous natural hazards in the world. However, it is still challenging to provide accurate and flood mapping, flood damage estimation, and ... -
DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF
Zhao, Gang (2013-12)The local ensemble transform Kalman filter (LETKF) has not been applied the storm-scale radar data assimilation (DA) problem until very recently. In this work, LETKF and its four-dimensional version, 4D-LETKF, are implemented ... -
Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction
May, Ryan Michael (2014-12-12)Correction for rain attenuation is an important data quality issue when using data collected by radars operating at attenuating wavelengths, specifically C and X bands. Such issues are especially important for quantitative ... -
Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data
Schenkman, Alexander Daniel (2012)Despite large advances in our understanding of tornadogenesis over the past fifty years, a comprehensive dynamical understanding of the processes behind tornado formation remains elusive. The purpose of this dissertation ... -
Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed
Gasperoni, Nicholas (2018-05)The ‘Nationwide Network of Networks’ (NNoN) concept was introduced by the National Research Council to address the growing need for a national mesoscale observing system. Part of this growing need is the continued advancement ... -
FOUR-DIMENSIONAL ENSEMBLE KALMAN FILTER ASSIMILATION OF HIGH TEMPORAL RESOLUTION PHASED ARRAY RADAR DATA WITH REAL CONVECTIVE STORM CASES
Supinie, Timothy (2020-05)With the US National Weather Service (NWS) Weather Surveillance Radar-1988 Doppler (WSR-88D) radar network aging, a candidate for replacing it is phased array radar (PAR). The defining feature of PAR is an electronically ... -
HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE
Kong, Rong (2017-12)Studies have shown advantages of the hybrid ensemble-variational data assimilation (DA) algorithms over pure ensemble or variational algorithms, although such advantages at the convective scale, in the presence of complex ... -
Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.
Tong, Chong-Chi (2015-12-18)The radar data assimilation is very important for improving short-range precipitation forecasts. Within the three dimensional variational (3DVAR) framework which is still the prevailing method used for operational regional ... -
OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE
Duda, Jeffrey (2016-05-13)As computer technology continues to improve, resources are becoming increasingly available for running an ensemble of NWP simulations with sufficient resolution that convection parameterization is no longer needed and ... -
Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods
Johnson, Aaron (2014-12-12)This dissertation research was undertaken to better understand the optimal design of convection-permitting storm-scale ensemble forecast (SSEF) systems that resolve features ranging from synoptic to convective scales. The ...