31 May 2013 El Reno Tornadoes: Advantages of Rapid-Scan Phased-Array Radar Data from a Warning Forecaster’s PerspectiveSource: Weather and Forecasting:;2015:;volume( 030 ):;issue: 004::page 933DOI: 10.1175/WAF-D-14-00142.1Publisher: American Meteorological Society
Abstract: n 31 May 2013, a supercell produced a tornado rated as 3 on the enhanced Fujita scale (EF3) near El Reno, Oklahoma, which was sampled by the S-band phased-array radar (PAR) at the National Weather Radar Testbed in Norman, Oklahoma. Collaboration with the forecaster who issued tornado warnings for the El Reno supercell during real-time operations focused the analysis on critical radar signatures frequently assessed during warning operations. The wealth of real-world experience provided by the forecaster, along with the quantitative analysis, highlighted differences between rapid-scan PAR data and the Weather Surveillance Radar-1988 Doppler located near Oklahoma City, Oklahoma (KTLX), within the context of forecast challenges faced on 31 May 2013. The comparison revealed that the 70-s PAR data proved most advantageous to the forecaster?s situational awareness in instances of rapid storm organization, sudden mesocyclone intensification, and abrupt, short-term changes in tornado motion. Situations where PAR data were most advantageous in the depiction of storm-scale processes included 1) rapid variations in mesocyclone intensity and associated changes in inflow magnitude; 2) imminent radar-indicated development of the short-lived (EF0) Calumet, Oklahoma, and long-lived (EF3) El Reno tornadoes; and 3) precise location and motion of the tornado circulation. As a result, it is surmised that rapid-scan volumetric radar data in cases like this would augment a forecaster?s ability to observe rapidly evolving storm features and deliver timely, life-saving information to the general public.
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contributor author | Kuster, Charles M. | |
contributor author | Heinselman, Pamela L. | |
contributor author | Austin, Marcus | |
date accessioned | 2017-06-09T17:36:51Z | |
date available | 2017-06-09T17:36:51Z | |
date copyright | 2015/08/01 | |
date issued | 2015 | |
identifier issn | 0882-8156 | |
identifier other | ams-88090.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4231831 | |
description abstract | n 31 May 2013, a supercell produced a tornado rated as 3 on the enhanced Fujita scale (EF3) near El Reno, Oklahoma, which was sampled by the S-band phased-array radar (PAR) at the National Weather Radar Testbed in Norman, Oklahoma. Collaboration with the forecaster who issued tornado warnings for the El Reno supercell during real-time operations focused the analysis on critical radar signatures frequently assessed during warning operations. The wealth of real-world experience provided by the forecaster, along with the quantitative analysis, highlighted differences between rapid-scan PAR data and the Weather Surveillance Radar-1988 Doppler located near Oklahoma City, Oklahoma (KTLX), within the context of forecast challenges faced on 31 May 2013. The comparison revealed that the 70-s PAR data proved most advantageous to the forecaster?s situational awareness in instances of rapid storm organization, sudden mesocyclone intensification, and abrupt, short-term changes in tornado motion. Situations where PAR data were most advantageous in the depiction of storm-scale processes included 1) rapid variations in mesocyclone intensity and associated changes in inflow magnitude; 2) imminent radar-indicated development of the short-lived (EF0) Calumet, Oklahoma, and long-lived (EF3) El Reno tornadoes; and 3) precise location and motion of the tornado circulation. As a result, it is surmised that rapid-scan volumetric radar data in cases like this would augment a forecaster?s ability to observe rapidly evolving storm features and deliver timely, life-saving information to the general public. | |
publisher | American Meteorological Society | |
title | 31 May 2013 El Reno Tornadoes: Advantages of Rapid-Scan Phased-Array Radar Data from a Warning Forecaster’s Perspective | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 4 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/WAF-D-14-00142.1 | |
journal fristpage | 933 | |
journal lastpage | 956 | |
tree | Weather and Forecasting:;2015:;volume( 030 ):;issue: 004 | |
contenttype | Fulltext |