Schwerdtfeger Library Publications Database

Results: Found 8662 records (displaying records 2726 through 2750)

2726. Hoff, Raymond; Zhang, Hai; Jordan, Nikisa; Prados, Ana; Engle-Cox, Jill/Huff, Amy; Weber, Stephanie; Zell, Erica; Kondragunta, Shobha; Szykmna, James; Johns, Brad; Dimmick, Fred; Wimmers, Anthony; Al-Saadi, Jay and Kittaka, Chieko. Applications of the three-dimensional air quality system to western US air quality: IDEA, Smog Blog, Smog Stories, AirQuest, and the Remote Sensing Information Gateway. Journal of the Air and Waste Management Association, Volume: 59, Issue: 3, 2008, pp.980-989. Reprint # 6158.

2727. Hoffman, J. P.; Prins, E. M.; Schmidt, C. C.; Ackerman, S. A. and Reid, J. S.. Characterizing and understanding the differences between GOES WF-ABBA and MODIS fire products. College Park, MD, University of Maryland, Global Observation of Forest and Land Cover Dynamics (GOFC-GOLD), 2006, poster presentation.
PDF Document Link to PDF

2728. Hoffman, J.; Schmidt, C. C.; Brunner, J. C. and Prins, E. M.. Geostationary fire detection with the Wildfire Automated Biomass Burning Algorithm. Washington, DC, American Geophysical Union, 2010, Abstract IN31A-1253.

2729. Hoffman, J.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm. Washington, DC, American Geophysical Union, 2011, Abstract IN53C-1636.

2730. Hoffman, Jay P.; Ackerman, S. A.; Liu, Y. and Key, J. R.. Satellite detection of Arctic sea ice leads. Boston, MA, American Meteorological Society, 2017, Abstract 6.5.

2731. Hoffman, Jay P.; Ackerman, S.; Liu, Y. and Key, J.. Characterizing Arctic Sea ice leads from space. Boston, MA, American Meteorological Society, 2016, Abstract 13.4.

2732. Hoffman, Jay P.; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey R.. The detection and characterization of Arctic sea ice leads with satellite imagers. Remote sensing, Volume: 11, Issue: 5, 2019, pp.521. Reprint # 8335.
PDF Document Link to PDF

2733. Hoffman, Jay P.; Ackerman, Steven A.; Liu, Yinghui; Key, Jeffrey R. and McConnell, Iain L.. Application of a convolutional neural network for the detection of sea ice leads. Remote Sensing, Volume: 13, Issue: 22, 2021, pp.4571. Reprint # 8751.
PDF Document Link to PDF

2734. Hoffman, Jay P.; Prins, Elaine M.; Schmidt, Christopher C.; Ackerman, Steven A. and Reid, Jeffrey S.. Characterizing and understanding the differences between GOES WF_ABBA and MODIS fire products and implications for data assimilation. Boston, MA, American Meteorological Society, 2007, Paper P1.9. Reprint # 5236.

2735. Hoffman, Jay P.; Rahmnes, Timothy F.; Wimmers, Anthony J. and Feltz, Wayne F.. The application of a convolutional neural network for the detection of contrails in satellite imagery. Remote Sensing, Volume: 15, Issue: 11, 2023, pp.2854. Reprint # 8942.
PDF Document Link to PDF

2736. Hoffman, Jay P.; Schmidt, C. C. and Prins, E. M.. The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm development activities at CIMSS. Boston, MA, American Meteorological Society, 2010, Abstract P8.10.

2737. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. Recent developments with the global Wild Fire Automated Biomass Burning Algorithm. Boston, MA, American Meteorological Society, 2014, Abstract 793.

2738. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M. and Brunner, J. C.. The GOES-R fire detection algorithm from research to operations. Boston, MA, American Meteorological Society, 2012, Abstract 498.

2739. Hoffman, Jay P.; Schmidt, C. C.; Prins, E. M.; Lindstrom, S. S. and Brunner, J. C.. Recent WF_ABBA fire detection and characterization algorithm validation efforts at CIMSS. Boston, MA, American Meteorological Society, 2009, Abstract JP7.10.

2740. Hoffman, Jay P.; Schmidt, Christopher C.; Prins, Elaine M.; Brunner, Jason C.; Feltz, Joleen M. and Lindstrom, Scott S.. Recent Wild Fire Automated Biomass Buring Algorithm activities at CIMSS. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 14.
Abstract Document Link to Abstract

2741. Hoffman, Jay; Ackerman, Steven A.; Liu, Yinghui and Key, Jeffrey Robert. Trends in Arctic sea ice leads detection. Washington, DC, American Geophysical Union, 2016, Abstract C21C-0703.

2742. Hoffman, Jay; Santek, Dave; Li, Sanmei and Romanov, Peter. Real-time generation of flood and river ice and products derived from VIIRS direct broadcast imagery. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2017, PowerPoint Presentation. 22 slides.
PDF Document Link to PDF

2743. Hofstadter, Mark and Heidinger, Andrew. Infrared low-cloud detection. Volume: 1997, Washington, DC, Optical Society of America, 1997, pp.100-102. Reprint # 7296.

2744. Hoggatt, Bradley D.; Tripoli, Gregory J.; Velden, Christopher S. and Derber, John. Improving hurricane forecasts utilizing GOES 8/10 derived high-density wind vectors: A collaborative venture between the University of Wisconsin-Madison and the National Centers for Environmental Prediction. Boston, MA, American Meteorological Society, 1999, pp.654-657. Reprint # 2533.

2745. Holloway, Christopher E.; Wing, Allison A.; Bony, Sandrine; Muller, Caroline; Masunaga, Hirohiko; L'Ecuyer, Tristan S.; Turner, David D. and Zuidema, Paquita. Observing convective aggregation. Surveys in Geophysics, Volume: 38, Issue: 6, 2017, pp.1119-1236. Reprint # 8214.
PDF Document Link to PDF

2746. Holloway, Tracey; Miller, Daegan; Anenberg, Susan; Diao, Minghui; Duncan, Bryan; Fiore, Arlene M.; Henze, Daven K.; Hess, Jeremy; Kinney, Patrick L.; Liu, Yang; Neu, Jessica L.; O'Neill, Susan M.; Odman, M. Talat; Pierce, R. Bradley; Russell, Armistead ; Tong, Daniel; West, J. Jason and Zondlo, Mark A.. Satellite monitoring for air quality and health. Annual Review of Biomedial Data Science, Volume: 4, 2021, pp.417-447. Reprint # 8713.
PDF Document Link to PDF

2747. Holman, Kathleen; Lorenz, David J. and Notaro, Michael. Influence of the background state on Rossby wave propagation into the Great Lakes region based on reanalysis data and model simulations. Washington, DC, American Geophysical Union, 2012, Abstract A43C-0154.

2748. Holmlund, K.; Velden, C. S. and Le Marshall, J.. Meeting summary: Fifth International Winds Workshop. Bulletin of the American Meteorological Society, Volume: 82, Issue: 6, 2001, pp.1193-1201. Reprint # 2902.
PDF Document Link to PDF

2749. Holmlund, Ken and Wanzong, Steve. Report from Working Group 1 (WG1): Wind extraction methods. Darmstadt, Germany, EUMETSAT, 2012. Reprint # 6821.

2750. Holmlund, Kenneth and Velden, Christopher S.. Objective determination of the reliability of satellite-derived atmospheric motion vectors. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 1998, pp.215-224. Reprint # 2760.