Full Metadata

Back to Data Summary

Investigating the relationship between polarimetric radar signatures of hydrometeor size sorting and tornadic potential in simulated supercells


Identification_Information:
Citation:
Citation_Information:
Originator:The Pennsylvania State University
Publication_Date:2022
Title:
Investigating the relationship between polarimetric radar signatures of hydrometeor size sorting and tornadic potential in simulated supercells
Other_Citation_Details:
Authors: Scott D. Loeffler, Matthew R. Kumjian, Paul M. Markowski, Brice E. Coffer Matthew D. Parker
Online_Linkage: http://www.datacommons.psu.edu
Description:
Abstract:
The national upgrade of the operational weather radar network to polarimetric capabilities has lead to numerous studies focusing on polarimetric radar signatures commonly observed in supercells. One such signature is the horizontal separation of regions of enhanced differential reflectivity (ZDR) and specific differential phase (KDP) values due to hydrometeor size sorting. Recent observational studies have shown that the orientation of this separation tends to be more perpendicular to storm motion in supercells that produce tornadoes. Although this finding has potential operational utility, the physical relationship between this observed radar signature and tornadic potential is not known. This study uses an ensemble of tornadic and nontornadic supercell simulations to investigate this connection. The tendency for tornadic supercells to have a more perpendicular separation orientation was reproduced, although to a lesser degree. This difference in orientation angles was caused by stronger rearward storm-relative flow in the nontornadic supercells, leading to a rearward shift of precipitation and, therefore, the enhanced KDP region within the supercell. Further, this resulted in an unfavorable rearward shift of the main negative buoyancy region, which led to an order of magnitude less baroclinic generation of circulation in the nontornadic simulations compared to tornadic simulations. 
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date:2022
Currentness_Reference:
publication date
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate:-112.846
East_Bounding_Coordinate:-102.148
North_Bounding_Coordinate:45.898
South_Bounding_Coordinate:39.98
Keywords:
Theme:
Theme_Keyword_Thesaurus:ISO 19115 Topic Categories
Theme_Keyword:climatologyMeteorologyAtmosphere
Access_Constraints:None.
Use_Constraints:
The University excludes any and all implied warranties, including warranties or merchantability and fitness for a particular purpose.
The University makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance.
The University will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
The USER is granted permission to translate and add value to the FILES for the use of the FILES on its computer hardware; provided, however, that the USER annually notify the University of any customizing or value-adding work done.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person:Scott D. Loeffler
Contact_Organization:Penn State
Contact_Position:Penn State Department of Meteorology and Atmospheric Science
Contact_Address:
Address_Type:mailing address
Address:
529 Walker Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:USA
Contact_Electronic_Mail_Address:swl5295@psu.edu
Back to Top
Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Organization:Penn State Data Commons
Contact_Address:
Address_Type:mailing and physical address
Address:
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:(814) 865 - 8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Distribution_Liability:
The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
Back to Top
Metadata_Reference_Information:
Metadata_Date:2022
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:Penn State Data Commons
Contact_Position:Metadata Coordinator
Contact_Address:
Address_Type:mailing address
Address:
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:814-865-8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Metadata_Standard_Name:FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version:FGDC-STD-001-1998
Metadata_Time_Convention:local time
Metadata_Extensions:
Online_Linkage: http://www.esri.com/metadata/esriprof80.html
Profile_Name:ESRI Metadata Profile
Back to Top