1. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Cronce, Lee and Brunner, Jason. NOAA ProbSevere v2.0-ProbHail, ProbWind, and ProbTor. Weather and Forecasting, Volume 35, Issue 4, 2020, pp.1523-1543. Reprint # 8606.
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2. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Wimmers, Anthony; Brunner, Jason and Bellon, Willard. A Deep-Learning Model for Automated Detection of Intense Midlatitude Convection Using Geostationary Satellite Images. Weather and Forecasting, Volume 35, Issue 6, 2020, 2567–2588. Reprint # 8653.
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3. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M.; Lindsey, Daniel T.; Cronce, Lee; Gerth, Jordan; Rodenkirch, Benjamin; Brunner, Jason and Gravelle, Chad. The NOAA/CIMSS ProbSevere Model: Incorporation of total lightning and validation. Weather and Forecasting, Volume 33, Issue 1, 2018, pp.331-345. Reprint # 8269.
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4. Cintineo, John; Pavolonis, Michael; Sieglaff, Justin; Brunner, Jason and Lindsey, Daniel. Next generation geostationary satellite observations in a multi-sensor severe weather nowcasting tool. 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy, 2-6 October 2017. European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany, 2017, Abstract 395. |
5. Brunner, J.; Pierce, R. B. and Lenzen, A. Development and validation of satellite-based estimates of surface visibility. Atmospheric Measurement Techniques, Volume 9, Issue 2, 2016, pp.409-422. Reprint # 7584.
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6. Cintineo, John L.; Pavolonis, M. J.; Sieglaff, J. and Brunner, J. C. The impact of total lightning information in the NOAA/CIMSS ProbSevere model. Conference on Severe Local Storms, 28th, Portland, OR, 7-11 November 2016. American Meteorological Society, Boston, MA, 2016, Abstract 9.1. |
7. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C. Recent developments with the global Wild Fire Automated Biomass Burning Algorithm. Symposium on the Joint Center for Satellite Data Assimilation, 2nd, Atlanta, GA, 2-6 February 2014. American Meteorological Society, Boston, MA, 2014, Abstract 793. |
8. Brunner, Jason C.; Schmidt, C. C.; Prins, E. M.; Hoffman, J. P.; Schroeder, W. and Csiszar, I. A. Western Hemisphere diurnal fire activity 1995-2012: Description and initial fire trend analysis of the GOES-East version 6.5 WF_ABBA data archive. Conference on Applied Climatology, 20th, Austin, TX, 6-10 January 2013. American Meteorological Society, Boston, MA, 2013, Abstract 210. |
9. Brunner, Jason C.; Pierce, B.; Lenzen, A. and Szykman, J. GOES-R AWG visibility and the visibility-fires analysis over western United States for 2007-2008. Annual Symposium on Future Operational Environmental Satellite Systems, 9th, Austin, TX, 6-10 January 2013. American Meteorological Society, Boston, MA, 2013, Abstract 328. |
10. Dworak, Richard; Bedka, Kristopher; Brunner, Jason and Feltz, Wayne. Comparison between GOES-12 overshooting-top detections, WSR-88D radar reflectivity, and severe storm reports. Weather and Forecasting, Volume 27, Issue 3, 2012, 684–699. Reprint # 6737.
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11. Brunner, Jason; Bedka, Kristopher; Dworak, Richard; Feltz, Wayne and Fleeger, Cecila. GOES objective overshooting top and enhanced-V signature detection products: Algorithm description, validation, and applications. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract P1.10. |
12. Brunner, Jason; Pierce, R. Bradley and Lenzen, Allen. GOES-R AWG visibility retrieval. National Weather Association annual meeting, 37th, Madison, WI, 6-11 October 2012. National Weather Association, Raleigh, NC, 2012, Abstract P1.11. |
13. Prins, Elaine; Schmidt, Christopher C.; Hoffman, Jay; Brunner, Jason; Hyer, Edward J. and Reid, Jeffrey S. The global geostationary wildfire ABBA: Current implementation and future plans. AGU Fall Meeting, San Francisco, CA, 3-7 December 2012. American Geophysical Union, Washington, DC, 2012, Abstract IN33C-1550. |
14. Bedka, Kristopher M.; Dworak, Richard; Brunner, Jason and Feltz, Wayne. Validation of satellite-based objective overshooting cloud-top detection methods using CloudSat profiling radar observations. Journal of Applied Meteorology and Climatology, Volume 51, Issue 10, 2012, pp.1811-1822. Reprint # 6852.
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15. Brunner, Jason C.; Schmidt, C. C.; Prins, E. M.; Hoffman, J. P.; Schroeder, W. and Csiszar, I. Western Hemisphere diurnal fire activity 1995-2011: Description and initial fire trend analysis of the GOES-East Version 6.5 WF-ABBA data archive. Conference on Satellite Meteorology, Oceanography and Climatology, 18th, and Joint AMS-Asia Satellite Meteorology Conference, 1st, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 476. |
16. Schmidt, Christopher C.; Prins, E. M.; Hyer, E.; Hoffman, J. P.; Brunner, J. and Reid, J. S. The global geostationary Wildfire ABBA: Current implementation and future plans. Conference on Satellite Meteorology, Oceanography and Climatology, 18th, and Joint AMS-Asia Satellite Meteorology Conference, 1st, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 165. |
17. Brunner, Jason C.; Bedka, K.; Dworak, R.; Feltz, W. F. and Cronce, L. M. GOES-R overshooting top and enhanced-V signature detection product objective validation efforts. Conference on Satellite Meteorology, Oceanography and Climatology, 18th, and Joint AMS-Asia Satellite Meteorology Conference, 1st, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 14B.5. |
18. Dworak, Richard; Bedka, K.; Brunner, J. and Feltz, W. Comparison between GOES-12 overshooting top detections, WSR-88D radar reflectivity and severe storm reports. Conference on Satellite Meteorology, Oceanography and Climatology, 18th, and Joint AMS-Asia Satellite Meteorology Conference, 1st, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 12A.1. |
19. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C. The GOES-R fire detection algorithm from research to operations. Annual Symposium on Future Operational Environmental Satellite Systems, 8th, New Orleans, LA, 22-26 January 2012. American Meteorological Society, Boston, MA, 2012, Abstract 498. |
20. Santek, David; Dengel, R.; Parker, D.; Batzli, S.; Bearson, N.; Feltz, W.; Cronce, L.; Sieglaff, J.; Brunner, J. and Bedka, K. Satellite based nowcasting and aviation applications for mobile devices. Conference on Interactive Information Processing Systems (IIPS), 27th, Seattle, WA, 23-27 January 2011. American Meteorological Society (AMS), Boston, MA, 2011, Abstract 2A.6. |
21. Hoffman, J.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm. AGU Fall Meeting, San Francisco, CA, 5-9 December 2011. American Geophysical Union, Washington, DC, 2011, Abstract IN53C-1636. |
22. Bedka, Kristopher; Brunner, Jason; Dworak, Richard and Feltz, Wayne. Objective satellite-based overshooting top and enhanced-V/cold ring detection: Validation and relationships with severe weather. European Conference on Severe Storms, 6th, ECSS 2011, Palma de Mallorca, Balearic Islands, Spain, 3-7 October 2011. European Severe Storms Laboratory (ESSL), 2011. Reprint # 7883.
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23. Bedka, Kristopher; Brunner, Jason and Feltz, Wayne. Overshooting top and enhanced-V detection: Algorithm theoretical basis document. Version 1.0. University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), Madison, WI, 2011. Call Number: UW SSEC Publication No.11.06.B1.
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24. Bedka, Kristopher; Brunner, Jason; Cronce, Lee; Dworak, Richard and Feltz, Wayne. GOES-R AWG Aviation Team: Overshooting top and enhanced-V thermal couplet signature detection. GOES-R AWG Annual Meeting, Algorithm Working Group, Madison, WI, 7-11 June 2010. NASA, Goddard Space Flight Center, GOES-R Program Office, Greenbelt, MD, 2010, PowerPoint presentation. |
25. Brunner, Jason C.; Bedka, K.; Feltz, W. F.; Dworak, R. and Cronce, L. M. An update on the GOES-R ABI overshooting top and enhanced-V anvil thermal couplet detection algorithm. Conference on Satellite Meteorology and Oceanography, 17th, Annapolis, MD, 26-30 September 2010. American Meteorological Society, Boston, MA, 2010, Abstract P1.5. |