Michael J. Pavolonis



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Results: Found 41 records (displaying records 1 through 25)


1. 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, Issue 1, 2018, pp.331-345. Reprint # 8269.
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2. Chai, Tianfeng; Crawford, Alice; Stunder, Barbara; Pavolonis, Michael J.; Draxler, Roland and Stein, Ariel. Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals. Atmospheric Chemistry and Physics, Volume 17, Issue 4, 2017, pp.2865-2879. Reprint # 7903.
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3. Wu, Dong L.; Baum, Bryan A.; Choi, Yong-Sang; Foster, Michael J./Kalsson, Karl-Goran; Heidinger, Andrew; Poulsen, Carolin; Pavolonis, Michael; Riedi, Jerome; Roebeling, Robert; Sherwood, Steven; Thoss, Anke and Watts, Philip. Toward global harmonization of derived cloud products. Bulletin of the American Meteorological Society, Volume 98, Issue 2, 2017, ES49-ES52. Reprint # 7907.
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4. Crawford, Alice M.; Stunder, Barbara J. B.; Ngan, Fong and Pavolonis, Michael J. Initializing HYSPLIT with satellite observations of volcanic ash: A case study of the 2008 Kasatochi eruption. Journal of Geophysical Research-Atmospheres, Volume 121, Issue 18, 2016, pp.10786-10803. Reprint # 7742.
5. Gultepe, I.; Rabin, R.; Ware, R. and Pavolonis, M. Chapter Three: Light snow precipitation and effects on weather and climate. Advances in Geophysics, Volume 57, 2016, pp.147-210. Reprint # 7842.
6. Gultepe, I.; Zhou, B.; Milbrandt, J.; Bott, A.; Li, Y.; Heymsfield, A. J.; Ferrier, B.; Ware, R.; Pavolonis, M.; Kuhn, T.; Gurka, J.; Liu, P. and Cermak, J. A review on ice fog measurements and modeling. Atmospheric Research, Volume 151, 2015, pp.2-19. Reprint # 7276.
7. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Spectrally Enhanced Cloud Objects - A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 2. Cloud object analysis and global application. Journal of Geophysical Research-Atmospheres, Volume 120, Issue 15, 2015, pp.7842-7870. Reprint # 7478.
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8. Pavolonis, Michael J.; Sieglaff, Justin and Cintineo, John. Spectrally Enhanced Cloud Objects - A generalized framework for automated detection of volcanic ash and dust clouds using passive satellite measurements: 1. Multispectral analysis. Journal of Geophysical Research-Atmospheres, Volume 120, Issue 15, 2015, pp.7813-7841. Reprint # 7477.
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9. Gultepe, I.; Kuhn, T.; Pavolonis, M.; Calvert, C.; Gurka, J.; Heymsfield, A. J.; Lui, P. S. K.; Zhou, B.; Ware, R.; Ferrier, B.; Milbrandt, J. and Bernstein, B. Ice fog in Arctic during FRAM-Ice Fog Project: Aviation and nowcasting applications. Bulletin of the American Meteorological Society, Volume 95, Issue 2, 2014, 211–226. Reprint # 7213.
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10. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M. and Lindsey, Daniel T. An empirical model for assessing the severe weather potential of developing convection. Weather and Forecasting, Volume 29, Issue 3, 2014, 639–653. Reprint # 7227.
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11. Stafanescu, E. R.; Patra, A. K.; Bursik, M. I.; Mandankan, R.; Pouget, S.; Jones, M.; Singla, P.; Singh, T.; Pitman, E. B.; Pavolonis, M.; Morton, D.; Webley, P. and Dehn, J. Temporal, probabilistic mapping of ash clouds using wind field stochastic variability and uncertain eruption source parameters: Example of the 14 April 2010 Eyjafjallajokull eruption. Journal of Advances in Modeling Earth Systems, Volume 6, Issue 4, 2014, 1173–1184. Reprint # 7344.
12. Madankan, R.; Pouget, S.; Singla, P.; Bursik, M.; Dehn, J.; Jones, M.; Patra, A.; Pavolonis, M.; Pitman, E. B.; Singh, T. and Webley, P. Computation of prababilistic hazard maps and source parameter estimation for volcanic ash transport and dispersion. Journal of Computational Physics, Volume 271, 2014, pp.39-59. Reprint # 8033.
13. Pavolonis, Michael J.; Heidinger, Andrew K. and Sieglaff, Justin. Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements. Journal of Geophysical Research-Atmospheres, Volume 118, Issue 3, 2013, doi:10.1002/jgrd.50173. Reprint # 6961.
14. Cintineo, John L.; Pavolonis, Michael J.; Sieglaff, Justin M. and Heidinger, Andrew K. Evolution of severe and nonsevere convection inferred from GOES-derived cloud properties. Journal of Applied Meteorology and Climatology, Volume 52, Issue 9, 2013, 2009–2023. Reprint # 7077.
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15. Verner, J.-P.; Fairlie, T. D.; Murray, J. J.; Tupper, A.; Trepte, C.; Winker, D.; Pelon, J.; Garnier, A.; Jumelet, J.; Pavolonis, M.; Omar, A. H. and Powell, K. A. An advanced system to monitor the 3D structure of diffuse volcanic ash clouds. Journal of Applied Meteorology and Climatology, Volume 52, Issue 9, 2013, 2125–2138. Reprint # 7078.
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16. Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Madankan, R.; Morton, D.; Pavolonis, M.; Pitman, E. B.; Pouget, S.; Singh, T.; Singla, P.; Stefanescu, E. R. and Webley, P. Challenges in developing DDDAS based methodology for volcanic ash hazard analysis - Effect of numerical weather prediction variability and parameter estimation. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2013, Volume 18, 2013, pp.1871-1880. Reprint # 8028.
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17. Pouget, Solene; Bursik, Marcus; Webley, Peter; Dehn, Jon and Pavolonis, Michael. Estimation of eruption source parameters from umbrella cloud or downwind plume growth rate. Journal of Volcanology and Geothermal Research, Volume 258, 2013, pp.100-112. Reprint # 8032.
18. Webley, P. W.; Steensen, T.; Stuefer, M.; Grell, G.; Freitas, S. and Pavolonis, M. Analyzing the Eyjafjallajokull 2010 eruption using satellite remote sensing, lidar and WRF-Chem dispersion and tracking model. Journal of Geophysical Research-Atmospheres, Volume 117, 2012, doi:10.1029/2011JD016817. Reprint # 6791.
19. Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Pavolonis, M.; Pitman, E. B.; Singh, T.; Singla, P. and Webley, P. A DDDAS framework for volcanic ash propagation and hazard analysis. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume 9, 2012, pp.1090-1099. Reprint # 8028.
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20. Madankan, R.; Singla, P.; Patra, A.; Bursik, M.; Dehn, J.; Jones, M.; Pavolonis, M.; Pitman, B.; Singh, T. and Webley, P. Polynomial chaos quadrature-based minimum variance approach for source parameters estimation. Procedia Computer Science: International Conference on Computational Sciences, ICCS 2012, Volume 9, 2012, pp.1129-1138. Reprint # 8030.
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21. Sieglaff, Justin M.; Cronce, Lee M.; Feltz, Wayne F.; Bedka, Kristopher M.; Pavolonis, Michael J. and Heidinger, Andrew K. Nowcasting convective storm initiation using satellite-based box-averaged cloud-top cooling and cloud-type trends. Journal of Applied Meteorology and Climatology, Volume 50, Issue 1, 2011, pp.110-126. Reprint # 6404.
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22. Schmehl, Kerrie J.; Haupt, Sue Ellen and Pavolonis, Michael J. A genetic algorithm variational approach to data assimilation and applications to volcanic emissions. Pure and Applied Geophysics, Volume 169, Issue 3, 2011, pp.519-537. Reprint # 6708.
23. Heidinger, A. K.; Pavolonis, M. J.; Holz, R. E.; Baum, Bryan A. and Berthier, S. Using CALIPSO to explore the sensitivity to cirrus height in the infrared observations from NPOESS/VIIRS and GOES-R/ABI. Journal of Geophysical Research-Atmospheres, Volume 115, 2010, doi:10.1029/2009JD012152. Reprint # 6265.
24. Heidinger, A. K.; Pavolonis, M. J.; Holz, R. E.; Baum, Bryan A. and Berthier, S. Correction to 'Using CALIPSO to explore the sensitivity to cirrus height in the infrared observations from NPOESS/VIIRS and GOES-R/ABI'. Journal of Geophysical Research-Atmospheres, Volume 115, 2010, doi:10.1029/2010JD014461. Reprint # 6265.
25. Pavolonis, Michael J. Advances in extracting cloud composition information from spaceborne infrared radiances - A robust alternative to brightness temperatures, part 1: Theory. Journal of Applied Meteorology and Climatology, Volume 49, Issue 9, 2010, pp.1992-2012. Reprint # 6348.
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