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 7101 through 7125)

7101. Snarski, Joey; Keller, Linda; Wilmot, Elena; Costanza, Carol and Lazzara, Matthew. Cloud mass transport from the Southern Ocean into Antarctica. Raleigh, NC, National Weather Association, 2012, Abstract P0.24. 

7102. Snook, J. S.; Zapotocny, J. V. and Johnson, D. R.. Tropical cyclones: Educational modules for the atmospheric sciences (NSF Grant ATM-8217164). Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 1988. Call Number: UW SSEC Publication No.88.12.J1. 
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7103. Snyder, Derrick W.; Runk, Kim J.; Gravelle, Chad; Richardson, Jack and Crandall, Katie. Ensuring AWIPS performance in the GOES-R era: Challenges and solutions identified by the NWS Operations Proving Ground. Raleigh, NC, National Weather Association, 2016, PowerPoint presentation. 

7104. Soden, B. J.; Ackerman, S. A. and Starr, D. O'C.. Analysis of the GOES 6.7 micron channel observations during FIRE II. Hampton, VA, National Aeronautics and Space Administration (NASA), Office of Management, Scientific and Technical Information Program, 1993, pp.104-106. Reprint # 1404. 

7105. Soden, B. J.; Ackerman, S. A.; Ferrare, R. A. and Starr, O'C.. Comparison of upper tropospheric water vapor from GOES, lidar and class measurements during FIRE II. Boston, MA, American Meteorological Society, 1994, pp.409-411. Reprint # 1612. 

7106. Soden, B. J.; Ackerman, S. A.; Starr, D. O'C.; Melfi, S. H. and Ferrare, R. A.. Comparison of upper tropospheric water vapor from GOES, Raman lidar, and cross-chain loran atmospheric sounding system measurementsJournal of Geophysical Research-Atmospheres, Volume: 99, 1994, pp.21005-21016. Reprint # 1749. 

7107. Soden, B. J.; Ferrare, R. A.; Smith, W. L.; Goldsmith, J. E. M.; Tobin, D.; Turner, D. D. and Whiteman, D. N.. A satellite-based assessment of upper tropospheric water vapor measurements. Washington, DC, US Department of Energy, Office of Energy Research, Office of Health and Environmental Research, Environmental Sciences Division, 2002, abstract. 

7108. Soden, B.; Tjemkes, S.; Schmetz, J.; Saunders, R.; Bates, J.; Ellingson, B.; Engelen, R.; Garand, L.; Jackson, D.; Jedlovec, G.; Kleespies, T.; Randel, D.; Rayer, P.; Salathe, E.; Schwarzkopf, D.; Scott, N.; Sohn, B.; de Souza-Machado, S.; Strow, L.; Tobin, D.; Turner, D.; van Delst, P. and Wehr, T.. An intercomparison of radiation codes for retrieving upper-tropospheric humidity in the 6.3 micron band: A report from the first GVaP WorkshopBulletin of the American Meteorological Society, Volume: 81, Issue: 4, 2000, pp.797-808. Reprint # 2798. 
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7109. Soden, Brian J. and Velden, Christopher S.. The impact of satellite-derived winds on GFDL hurricane model forecasts. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2001, pp.129-134. Reprint # 3029. 

7110. Soden, Brian J.; Tuleya, Robert E. and Velden, Christopher S.. Improving hurricane forecasts through the assimilation of satellite-derived winds. Boston, MA, American Meteorological Society, 1996, pp.505. Reprint # 2407. 

7111. Soden, Brian J.; Tuleya, Robert E. and Velden, Christopher S.. Impact of high density GOES winds on GFDL hurricane forecasts. Boston, MA, American Meteorological Society, 1999, pp.849. Reprint # 2535. 

7112. Soden, Brian J.; Velden, Christopher S. and Tuleya, Robert E.. The impact of satellite winds on experimental GFDL hurricane model forecastsMonthly Weather Review, Volume: 129, Issue: 4, 2001, pp.835-852. Reprint # 2869. 
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7113. Soja, A. J.; Pierce, R. B.; Al-Saadi, J. A.; Alvarado, E.; Sandberg, D. V.; Ottmar, R. D.; Kittaka, C.; McMillian, W. W.; Sachse, G. W.; Warner, J. X. and Szykman, J. J.. Using RAQMS chemical transport model, aircraft in-situ and satellite data to verify ground-based biomass burning emissions from the extreme fire event in boreal Alaska 2004. Washington, DC, American Geophysical Union, 2006, Abstract A51G-07. 

7114. Soja, Amber J.; Al-Saadi, Jassim; Giglio, Louis; Randall, Dave; Kittaka, Chieko; Pouliot, George; Kordzi, Joseph J.; Raffuse, Sean; Pace, Thompson G.; Pierce, Thomas E.; Moore, Tom; Roy, Biswadev; Pierce, R. Bradley and Szykman, James J.. Assessing satellite-based fire data for use in the National Emissions InventoryJournal of Applied Remote Sensing, Volume: 3, Issue: 1, 2009, doi:10.1117/1.3148859. Reprint # 6207. 
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7115. Solbrig, Jeremy Edward; Miller, Steven D.; van den Heever, Susan C.; Kreidenweis, Sonia M.; Oo, Min M.; Zupanski, Milija; Zhang, Jiaglong; Wang, Jun; Holz, Robert; Albers, Steven C.; Grasso, Lewis D.; Kliewer, Anton; Bukowski, Jennifer; Park, Jungmin; Saleeby, Stephen Millican and Wu, Ting-Chi. Advancing littoral zone aerosol prediction via holistic studies in regime-dependent flows: August 3-9, 2016 Middle East dust event. Washington, DC, American Geophysical Union, 2017, Abstract A23K-09. 

7116. Solbrig, Jeremy Edward; Miller, Steven D.; van den Heever, Susan; Kreidenweis, Sonia M.; Zhang, Jianglong; Holz, Robert; Zupanski, Milija; Wang, Jun; Oo, Min M.; Albers, Steven C.; Atwood, Sam A.; Igel, Adele L. and Kliewer, Anton. Advancing littoral zone aerosol prediction via holistic studies in regime-dependent flows. Washington, DC, American Geophysical Union, 2016, Abstract A11B-0021. 

7117. Solomon, R. L.; Slonaker, R. L.; Huang, H. L. and Favale, A. J.. NPOESS/VIIRS cloud module: An overview of the science and software. Washington, DC, American Geophysical Union, 2001, Abstract A11A-0024. 

7118. Song, C.-K.; Brun, D. W.; Pierce, R. B.; Alsaadi, J. A.; Schaack, T. K. and Vukovich, F.. Downscale linkage of global model output for regional chemical transport modeling: Method and general performanceJournal of Geophysical Research-Atmospheres, Volume: 113, 2008, doi:10.1029/2007/JD008951. Reprint # 5726. 
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7119. Song, Chang G.; Jwo, Jung-Sing; Lakshmivarahan, S.; Dhall, S. K.; Lewis, Johm M. and Velden, Christopher S.. Wind field decomposition algorithm for use in a computationally demanding forecast/assimilation setting. Boston, MA, American Meteorological Society, 1991, pp.262-265. Reprint # 1592. 

7120. Song, Chang G.; Jwo, Jung-Sing; Lakshmivarahan, S.; Shall, S. K.; Lewis, John M. and Velden, Christopher S.. An experiment in hurricane track prediction using parallel computing methodsAlgorithms and Applications, Volume: 2, 1993, pp.315-332. Reprint # 1845. 
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7121. Song, Changhe; Li, Yonsong and Huang, Bormin. A GPU-accelerated wavelet decompression system with SPIHT and Reed-Solomon decoding for satellite imagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 4, Issue: 3, 2011, pp.683-690. Reprint # 6499. 

7122. Song, Changhe; Li, Yunsong and Huang, Bormin. Heterogeneous computing system with GPU-based IDWT and CPU-based SPIHT and Reed-Solomon decoding for satellite image decompression. Bellingham, WA, SPIE-International Society for Optical Engineering, 2011, Paper 815710. Reprint # 6801. 

7123. Song, Juan; Li, Yunsong; Wang, Keyan; Wu, Chengke and Huang, Bormin. Distributed video coding with progressive correlation noise refinement and maximum likelihood pre-decodingOptical Engineering, Volume: 51, Issue: 7, 2012, Paper 077401. Reprint # 6794. 

7124. Song, Shi; Schmidt, K. Sebastian; Pilewskie, Peter; King, Michael D.; Heidinger, Andrew K.; Walther, Andi; Iwabuchi, Hironobu; Wind, Gala and Coddington, Odele M.. The spectral signature of cloud spatial structure in shortwave irradianceAtmospheric Chemistry and Physics, Volume: 16, Issue: 21, 2016, pp.13791-13806. Reprint # 7779. 
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7125. Spade, Daniela M.; Denito, W. R.; Basara, J. B. and Otkin, J. A.. New insight into the development of flash drought: A case study at the Marena Oklahoma in situ sensor testbed. Boston, MA, American Meteorological Society, 2014, Abstract J2.1.