scholarly journals Tornado Damage Estimation Using Polarimetric Radar

2013 ◽  
Vol 28 (1) ◽  
pp. 139-158 ◽  
Author(s):  
David J. Bodine ◽  
Matthew R. Kumjian ◽  
Robert D. Palmer ◽  
Pamela L. Heinselman ◽  
Alexander V. Ryzhkov
Keyword(s):  
Real Time ◽  
Doppler Radar ◽  
Radar Data ◽  
Polarimetric Radar ◽  
Damage Estimation ◽  
Volume Increase ◽  
Tornado Damage ◽  
Real Time Information ◽  
Parameter Values ◽  
Time Information

Abstract This study investigates the use of tornadic debris signature (TDS) parameters to estimate tornado damage severity using Norman, Oklahoma (KOUN), polarimetric radar data (polarimetric version of the Weather Surveillance Radar-1988 Doppler radar). Several TDS parameters are examined, including parameters based on the 10th or 90th percentiles of polarimetric variables (lowest tilt TDS parameters) and TDS parameters based on the TDS volumetric coverage (spatial TDS parameters). Two highly detailed National Weather Service (NWS) damage surveys are compared to TDS parameters. The TDS parameters tend to be correlated with the enhanced Fujita scale (EF) rating. The 90th percentile reflectivity, TDS height, and TDS volume increase during tornado intensification and decrease during tornado dissipation. For 14 tornado cases, the maximum or minimum TDS parameter values are compared to the tornado’s EF rating. For tornadoes with a higher EF rating, higher maximum values of the 90th percentile ZHH, TDS height, and volume, as well as lower minimum values of 10th percentile ρHV and ZDR, are observed. Maxima in spatial TDS parameters are observed after periods of severe, widespread tornado damage for violent tornadoes. This paper discusses how forecasters could use TDS parameters to obtain near-real-time information about tornado damage severity and spatial extent.

Real-Time Wind Measurement in Extratropical Cyclones by Means of Doppler Radar

1977 ◽  
Vol 16 (10) ◽  
pp. 1022-1028 ◽  
Author(s):  
H. W. Baynton ◽  
R. J. Serafin ◽  
C. L. Frush ◽  
G. R. Gray ◽  
P. V. Hobbs ◽  
...  
Keyword(s):  
Wind Speed ◽  
Real Time ◽  
Doppler Radar ◽  
Extratropical Cyclones ◽  
Wide Spread ◽  
The Real ◽  
Color Displays ◽  
Real Time Information ◽  
Time Information ◽  
Shaped Pattern

Abstract Color displays of the velocities of precipitation particles detected with a C-band Doppler radar in wide-spread cyclonic storms provide a variety of real-time information on the atmospheric wind field.Vertical profiles of wind speed and direction indicated by the real-time color displays agree well withrawinsonde measurements. Veering winds (or warm advection) produce a striking S-shaped pattern onthe color display and backing winds (or cold advection) produce a backward S. A maximum in the verticalprofile of wind speed is indicated by a pair of concentric colored rings, one upwind and one downwind ofthe radar. Vertically sloping velocity maxima are indicated by asymmetries in the color displays, as areconfluent and difluent winds. Divergence and convergence computed from the real-time color displays areof reasonable magnitude.

Local Optimization Approaches to Solve Dynamic Commercial Fleet Management Problems

2000 ◽  
Vol 1733 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Hani S. Mahmassani ◽  
Yongjin Kim ◽  
Patrick Jaillet
Keyword(s):  
Real Time ◽  
Time Windows ◽  
Computing Time ◽  
Computation Time ◽  
Local Optimization ◽  
Problem Size ◽  
Problem Formulations ◽  
Real Time Information ◽  
Parameter Values ◽  
Time Information

Strategies are presented that a dispatcher may use to take advantage of real-time information to manage a fleet of trucks to provide truckload pickup-and-delivery service under time windows for service and computing time constraints. These strategies are hybrid in that they combine very efficient dynamic local heuristic rules for quick initial assignment, with formal optimization-based procedures for subsequent load reassignment decisions within the time requirements of the dynamic problem. Simulation experiments were performed to test these strategies under alternative specifications and parameter values. In the first stage, the acceptance decision and initial schedule of trucks were determined so as to respond rapidly to incoming customer requests for service. Then, some time is allowed to improve the schedule of trucks by swapping the assigned loads using local optimization at the reassignment stage. Two strategies are described to control the computation time of the reassignment optimization problem by controlling the problem size. The simulation results confirm the significant potential for reassignment strategies under real-time information to improve system performance and suggest that considerable improvement is attainable even under restricted problem formulations.

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

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