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Now showing items 11-20 of 41
Multi-Radar Analysis of the 20 May 2013 Moore, Oklahoma Supercell through Tornadogenesis and Intensification
(2019-12-13)
On 20 May 2013, a violent, long-track EF-5 tornado impacted Moore, Oklahoma and surrounding areas, occurring within a network of radars operating in close proximity to the supercell. This network of radars consisted of ...
A Kinematic and Thermodynamic Analysis of the 17 May 2019 McCook / Farnam, Nebraska Tornadic Supercell
(2023-08-04)
The Targeted Observation by Radars and UAS of Supercells field project successfully deployed on a cyclic tornadic supercell in southwest Nebraska on 17–18 May 2019. This case study uses data from the two airborne radars ...
Defining a Relatively Normal Tornado Day: An Exploration of the Climatology and Potential Use of Relative Risk Forecasts for Tornadoes
(2023-08-04)
The risks posed by rare and severe weather events are both the most impactful to the public and the most difficult to communicate, due to their low absolute probability of occurrence but high impact at a given point. Recent ...
Doppler Radar Analyses of Tornadic Supercells on 19 May 2013
(2016-05-13)
On 19 May 2013, two supercells moved through central Oklahoma and produced seven tornadoes, including one of EF-3 and one of EF-4 intensity. High temporal and spatial resolution observations were collected in both strong ...
Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.
(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 ...
Non-Terminal Hydrometeor Fall Speed Effects on Modeled Rain Processes
(2023-08-04)
Recent observational studies have shown hydrometeors exhibit non-terminal fall speeds. The goal of this study is to understand how these non-terminal fall speeds affect the collision, coalescence and breakup of raindrops ...
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)
The S-band WSR-88D weather radar is sensitive enough to observe biological
scatterers like birds and insects. However, their non-spherical shapes and frequent
collocation in the radar resolution volume create challenges ...
ANALYSIS OF FLOW AND THERMODYNAMIC CHARACTERISTICS AT A SITE IN COMPLEX TERRAIN
(2018-08)
The goal of the Perdigão Field Experiment was to study atmospheric flows in complex terrain and to collect a high-quality dataset for the validation of meso- and micro-scale models. An Intensive Observation Period (IOP) ...
Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction
(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 ...
Examining the Predictability of Tornadic and Nontornadic Non-Supercellular MCS Storms using GridRad-Severe Radar Data and Machine Learning Techniques
(2023-12-15)
Many studies have aimed to identify novel storm characteristics that are indicative of current or future severe weather potential using a combination of ground-based radar observations and severe reports. However, this is ...