Shane A Hubbard



Download Rich Text Format

Results: Found 28 records (displaying records 1 through 25)


1. Hubbard, Shane. Puerto Rico after Hurricane Maria. Cooperative Research Program, CoRP Symposium, Madison, WI, 6-7 June 2018. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, 2018, abstract.
2. Hubbard, Shane. Puerto Rico after Hurricane Maria. Cooperative Research Program, CoRP Symposium, Madison, WI, 6-7 June 2018. University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, 2018, abstract.
3. Roman, Jacola A.; Knuteson, R.; Hubbard, S.; Ackerman, S. and Revercomb, H. A probabilistic statistical climatological relationship between precipitable water vapor and precipitation for near-real time forecasting applications. Conference on Probability and Statistics in the Atmospheric Sciences, 23rd, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 223.
4. Calvert, Corey G.; Pavolonis, M. J.; Hubbard, S.; Gravelle, C. M. and Lindstrom, S. S. The GOES-R/JPSS approach for identifying hazardous low clouds: Overview and operational impacts. Annual Symposium on New Generation Operational Environmental Satellite Systems, 12th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 8.4.
5. Hubbard, Shane; Pavolonis, M. J. and Calvert, C. G. Using geographical surface characteristics to detect near real-time valley fog. Symposium on Advances in Modeling and Analysis Using Python, 6th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 449.
6. Roman, Jacola A.; Knuteson, R. O.; Hubbard, S.; Ackerman, S. and Revercomb, H. An empirical relationship between water vapor and precipitation using satellite observations for near-real time forecasing applications. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 11.5.
7. Hubbard, Shane. The climatology of flooding in the US. Conference on Hydrology, 30th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 2.3.
8. Calvert, Corey G.; Pavolonis, M. J.; Hubbard, S.; Gravelle, C. M. and Lindstrom, S. S. The GOES-R/JPSS approach for identifying hazardous low clouds: Overview and operational impacts. Annual Symposium on New Generation Operational Environmental Satellite Systems, 12th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 8.4.
9. Roman, Jacola A.; Knuteson, R. O.; Hubbard, S.; Ackerman, S. and Revercomb, H. An empirical relationship between water vapor and precipitation using satellite observations for near-real time forecasing applications. Conference on Satellite Meteorology, Oceanography and Climatology, 21st, Madison, WI, 15-19 August 2016. American Meteorological Society, Boston, MA, 2016, Abstract 11.5.
10. Roman, Jacola A.; Knuteson, R.; Hubbard, S.; Ackerman, S. and Revercomb, H. A probabilistic statistical climatological relationship between precipitable water vapor and precipitation for near-real time forecasting applications. Conference on Probability and Statistics in the Atmospheric Sciences, 23rd, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 223.
11. Hubbard, Shane; Pavolonis, M. J. and Calvert, C. G. Using geographical surface characteristics to detect near real-time valley fog. Symposium on Advances in Modeling and Analysis Using Python, 6th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 449.
12. Hubbard, Shane. The climatology of flooding in the US. Conference on Hydrology, 30th, New Orleans, LA, 10-14 January 2016. American Meteorological Society, Boston, MA, 2016, Abstract 2.3.
13. Pavolonis, Mike; Calvert, Corey; Hubbard, Shane and Lindstrom, Scott. Data fusion for fog and low stratus applications. 2015 NOAA Satellite Proving Ground/User Readiness Meeting, Kansas City, MO, 15-19 June 2015. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.
14. Pavolonis, Mike; Calvert, Corey; Hubbard, Shane and Lindstrom, Scott. Improved FLS detection using multiple satellite sensors, NWP models, and a DEM. 2015 GOES-R/JPSS OCONUS Satellite Proving Ground Technical Interchange Meeting, Anchorage, AK, 12-15 May 2015. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.
15. Pavolonis, Mike; Calvert, Corey; Hubbard, Shane and Lindstrom, Scott. Data fusion for fog and low stratus applications. 2015 NOAA Satellite Proving Ground/User Readiness Meeting, Kansas City, MO, 15-19 June 2015. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.
16. Pavolonis, Mike; Calvert, Corey; Hubbard, Shane and Lindstrom, Scott. Improved FLS detection using multiple satellite sensors, NWP models, and a DEM. 2015 GOES-R/JPSS OCONUS Satellite Proving Ground Technical Interchange Meeting, Anchorage, AK, 12-15 May 2015. National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation.
17. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John; Calvert, Corey; Hubbard, Shane and Bellon, Bill. Multi-sensor satellite algorithm development for volcanic and fog hazards. 2014 GOES-R/JPSS OCONUS satellite proving ground research to operations meeting, Honolulu, HI, 29 July-1 August 2014. National Oceanic and Atmospheric Administration (NOAA), 2014, PowerPoint presentation.
18. Hubbard, Shane. Flood spatiotemporal decision-making: Heavy rainfall system modes and the impacts on community response actions. Conference on Severe Local Storms, 27th, Madison, WI, 2-7 November 2014. American Meteorological Society, Boston, MA, 2014, recorded presentation.
19. Pavolonis, Michael; Sieglaff, Justin; Cintineo, John; Calvert, Corey; Hubbard, Shane and Bellon, Bill. Multi-sensor satellite algorithm development for volcanic and fog hazards. 2014 GOES-R/JPSS OCONUS satellite proving ground research to operations meeting, Honolulu, HI, 29 July-1 August 2014. National Oceanic and Atmospheric Administration (NOAA), 2014, PowerPoint presentation.
20. Hubbard, Shane. Flood spatiotemporal decision-making: Heavy rainfall system modes and the impacts on community response actions. Conference on Severe Local Storms, 27th, Madison, WI, 2-7 November 2014. American Meteorological Society, Boston, MA, 2014, recorded presentation.
21. Schlesinger, Robert E.; Hubbard, Shane A. and Wang, Pao K. Worldwide microphysical thunderstorm variability in different climatic regions: A three-dimensional cloud modeling study. Conference on Severe Local Storms, 24th, Savannah, GA, 27-31 October 2008. American Meteorological Society, Boston, MA, 2008, Paper 17B.5. Reprint # 5917.
22. Schlesinger, Robert E.; Hubbard, Shane A. and Wang, Pao K. Worldwide microphysical thunderstorm variability in different climatic regions: A three-dimensional cloud modeling study. Conference on Severe Local Storms, 24th, Savannah, GA, 27-31 October 2008. American Meteorological Society, Boston, MA, 2008, Paper 17B.5. Reprint # 5917.
23. Wang, Pao K.; Hubbard, Shane; Lin, Hsin-mu; Rabin, Robert; Bachmeier, Scott and Natali, Stefano. Satellite-observed storm top visible and IR features and their physical interpretation. European Geosciences Union General Assembly 2006, Vienna, Austria, 2-7 April 2006. Abstracts. European Geosciences Unions, Vienna, Austria, 2006, Abstract 05204.
Abstract Document Link to Abstract
24. Wang, Pao K.; Hubbard, Shane; Lin, Hsin-mu; Rabin, Robert; Bachmeier, Scott and Natali, Stefano. Satellite-observed storm top visible and IR features and their physical interpretation. European Geosciences Union General Assembly 2006, Vienna, Austria, 2-7 April 2006. Abstracts. European Geosciences Unions, Vienna, Austria, 2006, Abstract 05204.
Abstract Document Link to Abstract
25. Schlesinger, Robert E.; Hubbard, Shane A. and Wang, Pao K. Three-dimensional cloud modeling study on the dynamical and microphysical variability of thunderstorms in different climate regimes. Conference on Cloud Physics, 12th, Madison, WI, 9-14 July 2006. American Meteorological Society, Boston, MA, 2006, Paper 8.6. Reprint # 5106.