Chris Broyles
Chris Broyles | |
|---|---|
 Chris Broyles | |
| Occupation | Meteorologist |
| Years active | 1994–present |
| Known for | Forecaster at the Storm Prediction Center / Expert in tornado forecasting |
| Notable work | Issuing the first and second-ever Day 2 High Risk Outlooks |
John C. "Chris" Broyles is an American meteorologist who is a weather forecaster and tornado forecasting expert with the Storm Prediction Center.[1][2][3]
Education
[edit]Broyles attended St. Edwards University in Texas, before transferring to the University of Northern Colorado, where he graduated with bachelor's degrees in meteorology and journalism.[1]
Career
[edit]In 1994, Broyles was hired as an intern at the National Weather Service (NWS) office in Jackson, Kentucky.[1] Following his internship, Broyles was hired as a forecaster at the NWS office in Aberdeen, South Dakota.[1] In 2003, Broyles was hired at the Storm Prediction Center (SPC) at the National Weather Center in Norman, Oklahoma as a forecaster.[1] Throughout his career forecasting at the SPC, Broyles issued 13 High Risk Outlooks, with 10 verifications.[1] On April 7, 2006, Broyles issued the first-ever Day-2 High Risk Outlook, in preparation for the tornado outbreak of April 6–8, 2006.[1] This High Risk also included a 60% chance of tornadoes, including at least some becoming significant.[1] Following verification of this High Risk, the United States Department of Commerce awarded Broyles with a Silver Medal.[1] On April 14, 2012, Broyles issued the second-ever Day-2 High Risk Outlook, while forecasting for the tornado outbreak of April 13–16, 2012.[1]
Publications
[edit]
Throughout his career, Broyles has authored and co-authored several academic papers and case studies. Besides academic publications, Broyles led a team of twenty others to create the National Oceanic and Atmospheric Administration's Violent Tornado webpage, which documented more than 200 tornado outbreaks throughout the United States' history.[1][4]
- Forecasting tornado location across the Dakotas and Minnesota in 1998.[5]
- The role of synoptic patterns and temperature and moisture distribution in determining the locations of strong and violent tornado episodes in the north central United States: A preliminary examination. in 2000.[6]
- The Effect of a Low-Level Boundary on the Development of the Panhandle, TX Tornadic Storm on 29 May 2001 in 2002.[7]
- Synoptic and mesoscale characteristics associated with violent tornadoes across separate geographic regions of the United States: Part 1 - low-level characteristics & Part 2 - upper-level characteristics in 2002.[8][9][10]
- Radar characteristics of violent tornadic storms using the NSSL algorithms across separate geographic regions of the United States in 2002.[11][12]
- An Iterative Storm Segmentation and Classification Algorithm for Convection-Allowing Models and Gridded Radar Analyses in 2022.[13]
References
[edit]- ^ a b c d e f g h i j k Storm Prediction Center (May 2021). "Chris Broyles" (PDF). Norman, Oklahoma: National Oceanic and Atmospheric Administration. Archived from the original (PDF) on 18 May 2024. Retrieved 18 May 2024.
- ^ "New research from Storm Prediction Center studies how and why violent tornadoes form". Fox Weather. Retrieved 18 May 2024.
- ^ National Weather Service; Storm Prediction Center. "SPC Publication List by Author". National Oceanic and Atmospheric Administration. Retrieved 19 May 2024.
- ^ National Weather Service; Storm Prediction Center (2014). "Violent Tornado Webpage". U.S. Tornado Outbreak Interface. Norman, Oklahoma: National Oceanic and Atmospheric Administration. Archived from the original (Interactive webpage) on 9 May 2024. Retrieved 19 May 2024.
- ^ Guerrero, Hector R.; Broyles, Chris; Eastlack, David (1998). "Forecasting Tornado Location Across The Dakotas and Minnesota". 17th Conference on Severe Local Storms. 17: 301–304. Retrieved 19 May 2024.
- ^ Johns, Robert H.; Broyles, Chris; Eastlack, David; Guerrero, H.; Harding, K. (15 September 2000). "The role of synoptic patterns and temperature and moisture distribution in determining the locations of strong and violent tornado episodes in the north central United States: a preliminary examination". 20th Conference on Severe Local Storms. 20. American Meteorological Society. Retrieved 19 May 2024.
- ^ Marshall, Timothy P.; Broyles, Chris; Kersch, Stephen; Wingenroth, James (15 August 2002). "The Effect of a Low-Level Boundary on the Development of the Panhandle, TX Tornadic Storm on 29 May 2001" (PDF). 21st Conference on Severe Local Storms. 21. Haag Engineering, Storm Prediction Center, National Weather Service and KVII-TV 7 via the American Meteorological Society. Retrieved 19 May 2024.
- ^ Broyles, John C.; Dipasquale, N.; Wynne, R. (August 2002). "Synoptic and mesoscale characteristics associated with violent tornadoes across separate geographic regions of the United States: Part 1 - low-level characteristics". 21st Conf. Severe Local Storms. 21. San Antonio, Texas: American Meteorological Society: J65–J68.
- ^ Broyles, John C.; Dipasquale, N.; Wynne, R. (August 2002). "Synoptic and mesoscale characteristics associated with violent tornadoes across separate geographic regions of the United States: Part 2 - upper-level characteristics". 21st Conf. Severe Local Storms. 21. San Antonio, Texas: American Meteorological Society.
- ^ Elkhouly, Mohamed; Zick, Stephanie E.; Ferreira, Marco A. R. (22 February 2023). "Long term temporal trends in synoptic-scale weather conditions favoring significant tornado occurrence over the central United States". PLOS ONE. 18 (2): e0281312. Bibcode:2023PLoSO..1881312E. doi:10.1371/journal.pone.0281312. PMC 9946245. PMID 36812264.
- ^ Broyles, Chris; Wynne, Richard; Dipasquale, Neal; Guerrero, Hector; Hendricks, Tim (13 August 2002). "Radar characteristics of violent tornadic storms using the NSSL algorithms across separate geographic regions of the United States" (PDF). 21st Conference on Severe Local Storms. 21. American Meteorological Society. Retrieved 19 May 2024.
- ^ Guerrero, Hector Ricardo Garcia. "5.1 Radar Characteristics of Violent Tornadic Storms Using the NSSL Algorithms Across Separate Geographic Regions of …". ams.confex.com. Retrieved 19 May 2024.
- ^ Potvin, Corey K.; Gallo, Burkely T.; Reinhart, Anthony E.; Roberts, Brett; Skinner, Patrick S.; Sobash, Ryan A.; Wilson, Katie A.; Britt, Kelsey C.; Broyles, Chris; Flora, Montgomery L.; Miller, William J. S.; Satrio, Clarice N. (July 2022). "An Iterative Storm Segmentation and Classification Algorithm for Convection-Allowing Models and Gridded Radar Analyses". Journal of Atmospheric and Oceanic Technology. 39 (7). American Meteorological Society: 999–1013. Bibcode:2022JAtOT..39..999P. doi:10.1175/JTECH-D-21-0141.1. Retrieved 19 May 2024.
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