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 8662 records (displaying records 6376 through 6400)

6376. Santek, David; Kohrs, Rick; Bearson, Nick and Lazzara, Matthew. Advanced image compositing techniques. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2010, PowerPoint presentation. 
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6377. Santek, David; Leslie, Lance; Goodman, Brian; Diak, George and Callan, Geary. 4-D techniques for evaluation of atmospheric model forecasts. Bellingham, WA, SPIE-International Society for Optical Engineering, 1987, pp.75-77. Reprint # 1812. 

6378. Santek, David; Li, S.; Chaoch, N.; Gerth, J.; Hoffman, J. and Alabi, P.. Real-time generation of river ice and flood products derived from VIIRS imagery. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2015, PowerPoint presentation. 25 slides. 
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6379. Santek, David; Mindock, Scott and Robaidek, Jerrold. SDI (Satellite Data Ingestor). Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2016, PowerPoint presentation. 
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6380. Santek, David; Nebuda, Sharon and Stettner, Dave. Demonstration and evaluation of 3D winds generated by tracking features in moisture and ozone fields derived from AIRS sounding retrievalsRemote Sensing, Volume: 11, Issue: 22, 2019. Reprint # 8497. 
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6381. Santek, David; Nebuda, Sharon and Stettner, Dave. Feature-tracked winds from moisture fields derived from AIRS sounding retrievals. Darmstadt, Germany, EUMETSAT, 2014. Reprint # 7655. 

6382. Santek, David; Nebuda, Sharon and Stettner, Dave. Real-time generation of feature-tracked winds from humidity fields derived from satellite sounder retrievals. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2015, PowerPoint presentation. 

6383. Santek, David; Nebuda, Sharon; Velden, Chris; Key, Jeff and Stettner, Dave. Deriving Atmospheric Motion Vectors From AIRS moisture retrieval data. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012, PowerPoint presentation. 13 slides. 
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6384. Santek, David; Nebuda, Sharon; Velden, Christopher; Key, Jeff and Stettner, Dave. Deriving Atmospheric Motion Vectors from AIRS moisture retrieval data. Darmstadt, Germany, EUMETSAT, 2012. Reprint # 6814. 

6385. Santek, David; Schaffer, Becky; Dengel, Russell; Jasmin, Tommy and Straka, William C. III. Visualizing GOES-R and JPSS satellite data and products with McIDAS. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 637. 

6386. Santek, David; Smith, Bill and McCarty, Will. Feature-tracked 3D winds from hyperspectral infrared sounders: Status and requirements for future missions. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2017, PowerPoint presentation. 27 slides. 
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6387. Santek, David; Velden, Christopher and Key, Jeffrey. A blended polar winds product using Atmospheric Motion Vectors from MODIS imagery and AIRS moisture retrieval data. Year 2 progress report, December 2011 to November 2012 for grant NNX11AE97G. Madison, WI, University of Wisconsin-Madison, CIMSS [Cooperative Institute for Meteorological Satellite Studies, 2012. Call Number: UW SSEC Publication No.12.12.S1. 
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6388. Santek, David; Velden, Christopher and Key, Jeffrey. A blended polar winds product using Atmospheric Motion Vectors from MODIS imager and AIRS moisture retrieval data. Final report on NNX11AE97G for the period 8 February 2011 to 8 August 2013. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2014. Call Number: UW SSEC Publication No.14.04.S2. 
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6389. Santek, David; Velden, Christopher and Key, Jeffrey. A blended polar winds product using Atmospheric Motion Vectors from MODIS imagery and AIRS moisture retrieval data. Year 1 progress report for grant NNX11AE97G for the period February 2011 to November 2011. Madison, WI, University of Wisconsin-Madison, CIMSS [Cooperative Institute for Meteorological Satellite Studies, 2011. Call Number: UW SSEC Publication No.11.12.S2. 
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6390. Santek, David; Whittaker, Thomas; Hibbard, Bill; Dengel, Gail; Parker, David and Rink, Thomas. McIDAS-V and OpenADDE: The next generation of McIDAS. Boston, MA, American Meteorological Society, 2006, Paper 7.10. Reprint # 4850. 

6391. Sarkissian, E.; Worden, H. M.; Bowman, K. W.; Fisher, B.; Rider, D.; Aumann, H. H.; Apolinski, M.; Debaca, R. C.; Gluck, S.; Madatyan, M.; McDuffie, J.; Tremblay, D.; Shephard, M. W.; Cady-Pereira, K.; Tobin, D. and Revercomb, H.. TES radiometric assessment. Washington, DC, American Geophysical Union, 2005, Abstract A41A-0007. 

6392. Satria, Muhammad T.; Huang, Bormin Hsieh, Tung-Ju; Chang, Yang-Lang and Liang, Wen-Yew. GPU acceleration of tsunami propagation modelIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 5, Issue: 3, 2012, pp.1014-1023. Reprint # 6763. 

6393. Satria, Muhammad T.; Huang, Bormin; Hsieh, Tung-Ju; Chang, Yang-Lang and Liang, Wen-Yew. Efficient GPU implementation of tsunami simulation. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2011, Paper 81830Q. Reprint # 6566. 

6394. Saunders, R.; Crewell, S.; Gelaro, R.; Minnett, P. J.; Peuch, H.-H.; Schmetz, J.; Turner, D. and Velden, C.. Observations for global to convective scale models. Geneva, Switzerland, World Meteorological Organization (WMO), 2015. Reprint # 7420. 
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6395. Sauter, Kathryn; L'Ecuyer, Tristan; van den Heever, Susan C.; Twohy, Cynthia H.; Heidinger, Andrew; Wanzong, Steve and Wood, Norm. The observed influence of tropical convection on the Saharan dust layerJournal of Geophysical Research-Atmospheres, Volume: 124, 2019. Reprint # 8474. 
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6396. Sawyer, Virginia R.; Levy, Robert C.; Mattoo, Shana; Quinn, Greg and Veglio, Paolo. MODIS-VIIRS intercalibration for dark target aerosol retrieval over ocean. Washington, DC, American Geophysical Union, 2016, Abstract A24C-07. 

6397. Sawyer, Virginia; Levy, Robert C.; Mattoo, Shana; Cureton, Geoff; Shi, Yingxi and Remer, Lorraine A.. Continuing the MODIS Dark Target Aerosol Time Series with VIIRSRemote Sensing, Volume: 12, Issue: 2, 2020, pp.308. Reprint # 8515. 
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6398. Sayer, Andrew M.; Hsu, Christina N.; Bettenhausen, Corey; Holz, Robert E.; Lee, Jaehwa; Quinn, Greg and Veglio, Paolo. Cross-calibration of S-NPP VIIRS moderate-resolution reflective solar bands against MODIS Aqua over dark water scenesAtmospheric Measurement Techniques, Volume: 10, Issue: 4, 2017, pp.1425-1444. Reprint # 8307. 

6399. Sayer, Andrew M.; Hsu, N. Christina; Bettenhausen, Corey; Holz, R. E.; Lee, Jaehwa; Quinn, G. and Veglio, P.. Biases in VIIRS aerosol optical depth arising from solar band calibration biases. Silver Spring, MD, National Aeronautics and Space Administration (NASA), Goddard Space Flight Center, 2016, PowerPoint presentation. 
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6400. Scala, John R.; Hain, Christopher; MacKenzie, Wayne M. Jr. and Bachmeier, Scott. Meteorological conditions associated with the rapid transport of Canadian wildfire products into the northeast during 5-8 July 2002. Boston, MA, American Meteorological Society, 2004, Paper 3.4. Reprint # 3657.