We are working to migrate this publications database, and the current listing does not reflect the most recent publications available. Thank you for your patience, and please reach out to library@ssec.wisc.edu with any questions.


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Results: Found 3271 records (displaying records 901 through 925)

901. 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. 

902. 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. 

903. 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. 
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904. 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. 
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905. 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. 

906. 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. 

907. 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. 

908. 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

909. 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. 

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

911. Holt, Frances C. and Menzel, W. Paul. Application of GOES-8/9 soundings to weather forecasting and nowcasting. Boston, MA, American Meteorological Society, 1998, pp.339-342. Reprint # 2455. 

912. Holt, Frances C.; Menzel, W. Paul; Gray, Donald G. and Schmit, Timothy J.. Geostationary satellite soundings: New observations for forecasters. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service, 1998. 30p. Call Number: C 55.202:998. 

913. Holz, R. E.; Ackerman, S. A.; Nagle, F. W.; Frey, R.; Dutcher, S.; Kuehn, R. E.; Vaughan, M. A. and Baum, B.. Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP. Journal of Geophysical Research-Atmospheres, Volume: 113, 2008, doi:10.1029/2008JD009837. Reprint # 5918. 

914. Holz, R.; Ackerman, S. A.; Platnick, S.; Heidinger, A. K. and Wind, G.. Developing a cloud algorithm suite that provides consistent performance across the MODIS and VIIRS data records for climate research. Washington, DC, American Geophysical Union, 2013, Abstract A41C-0070. 

915. Holz, R.; Heidinger, A. K.; Turner, D. D.; Ackerman, S. A.; Kuehn, R.; Vaughan, M. and Platnick, S. E.. Investigating differences between IR and visible cirrus optical depth retrievals using CALIOP and MODIS observations. Washington, DC, American Geophysical Union, 2009, Abstract A54C-05. 

916. Holz, R.; Platnick, S.; Wind, G.; Ackerman, S.; Heidinger, A. and Frey, R.. Developing a cloud algorithm suite that provides consistent performance across the MODIS and VIIRS data records for climate research. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2014, abstract. 

917. Holz, Robert E.; Ackerman, Steve; Antonelli, Paolo; Nagle, Fred; Knuteson, Robert O.; McGill, Matthew; Hlavka, Dennis L. and Hart, William D.. An improvement to the high-spectral resolution CO2-slicing cloud-top altitude retrieval. Journal of Atmospheric and Oceanic Technology, Volume: 23, Issue: 5, 2006, pp.653-670. Reprint # 5135. 
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918. Holz, Robert E.; Platnick, S.; Heidinger, A.; Wind, G.; Frey, R. and Meyer, K.. Development of an algorithm suite for MODIS and VIIRS cloud climate data record continuity. Boston, MA, American Meteorological Society, 2015, Abstract J14.6. 

919. Holz, Robert E.; Platnick, Steven; Meyer, Kerry; Vaughan, Mark; Heidinger, Andrew; Yang, Ping; Wing, Gala; Dutcher, Steven; Ackerman, Steven; Amarasinghe, Nandana; Nagle, Fredrick and Wang, Chenxi. Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals. Atmospheric Chemistry and Physics, Volume: 16, Issue: 8, 2016, pp.5075-5090. Reprint # 7615. 
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920. Holz, Robert; Ackerman, Steven; Frey, Rich; Platnick, Steven; Amarasinge, Nandana; Heidigner, Andrew; Walther, Andi; Meyer, Kerry and Wind, Gala. Developing a NASA cloud algorithm suite for MODIS and VIIRS data record continuity for climate research. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2015, PowerPoint presentation. 

921. Holz, Robert; Heidinger, Andrew; Turner, David; Ackerman, Steven; Kuehn, Ralph; Vaughn, Mark and Platnick, Steven. Uncertainties of cirrus OD retrievals from active and passive A-train measurements. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, abstract. 

922. Holz, Robert; Heidinger, Andy; Nagle, Fred; Quinn, Greg; Oo, Min and Kuehn, Ralph. JPSS validation system. National Oceanic and Atmospheric Administration (NOAA), 2014, PowerPoint presentation. 19 slides. 
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923. Holz, Robert; Kuehn, Ralph; Quinn, Greg; Sun, Haibing; Nagle, Frederick; Wanzong, Steve; Wolf, Walter and Heidinger, Andy. Developing a product validation and merged JPSS/GOES-R system using advancd collocation methods. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2014, PowerPoint presentation. 10 slides. 
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924. Holz, Robert; Platnick, Steven E.; Meyer, Kerry; Frey, Richard; Wind, G.; Ackerman, Steven A.; Heidinger, Andrew K.Botambekov, Denis; Yorks, John E. and McGill, Matthew J.. Evaluating NASA S-NPP continuity cloud products for climate research using CALIPSO, CATS and Level-3 analysis. Washington, DC, American Geophysical Union, 2016, Abstract A13D-0297. 

925. Holz, Robert; Platnick, Steven; Ackerman, Steven; Frey, Richard; Meyer, Kerry; Wind, Gala; Heidinger, Andrew; Walther, Andi and Amarasinghe, Nandana. Evaluating the new NASA S-NPP continuity cloud products for climate research using CALIPSO and L3 analysis. Washington, DC, American Geophysical Union, 2015, Abstract A14C-03. 

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