7776. Velden, Christopher; Majumdar, Sharanya J.; Li, Jun; Liu, Hui; Doyle James D. and Hawkins, Jeffrey. Achieving superior tropical cyclone intensity forecasts by improving the assimilation of high-resolution satellite data into mesoscale prediction models. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2013. Call Number: UW SSEC Publication No.13.09.V1. 
 Link to PDF

7777. Velden, Christopher; Nieman, Steve; Aberson, Sim and Franklin, James. Tracking motions from satellite water vapor imagery: Quantitative applications to hurricane track forecasting. Boston, MA, American Meteorological Society, 1993, pp.193-196. Reprint # 1784. 

7778. Velden, Christopher; Olander, T.; Herndon, D. and Kossin, J.. Reprocessing the 'top ten' most intense historical tropical cyclones in the satellite era using the Advanced Dvorak Technique. Boston, MA, American Meteorological Society, 2016, Abstract 76. 

7779. Velden, Christopher; Olander, Timothy; Herndon, Derrick and Kossin, James P.. Reprocessing the most intense historical tropical cyclones in the satellite era using the Advanced Dvorak Technique. Monthly Weather Review, Volume: 145, Issue: 3, 2017, pp.971-983. Reprint # 7876. 
 Link to PDF

7780. Velden, Christopher; Rabin, Robert; Mecikalski, John; Bedka, Kristopher; Otkin, Jason; Cecil, Daniel; Jones, Thomas and Lang, Timothy. Investigation of mesoscale flow fields in severe storm environments enabled by the development and multiple-application of high-resolution (space and time), research-quality Atmospheric Motion Vector fields derived from GOES-R multi-spectral imagery. NNX1. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2018. Call Number: UW SSEC Publication No.18.07.V1. 
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7781. Velden, Christopher; Rabin, Robert; Mecikalski, John; Bedka, Kristopher; Otkin, Jason; Cecil, Daniel; Jones, Thomas and Lang, Timothy. Investigation of mesoscale flow fields in severe storm environments enabled by the development and multiple-application of high-resolution (space and time), research-quality Atmospheric Motion Vector fields derived from GOES-R multi-spectral imagery. Tec. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2016. Call Number: UW SSEC Publication No.16.06.V1. 
 Link to PDF

7782. Velden, Christopher; Rabin, Robert; Mecikalski, John; Bedka, Kristopher; Otkin, Jason; Cecil, Daniel; Jones, Thomas and Lang, Timothy. Investigation of mesoscale flow fields in severe storm environments enabled by the development and multiple-application of high-resolution (space and time), research-quality Atmospheric Motion Vector fields derived from GOES-R multi-spectral imagery. Tec. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2017. Call Number: UW SSEC Publication No.17.05.V1. 
 Link to PDF

7783. Velden, Christopher; Wanzong, Steven and Menzel, Paul. An update on UW-CIMSS satellite-derived wind developments. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 1998, pp.71-76. Reprint # 2758. 

7784. Verlinde, J.; Harrington, J. Y.; McFarquhar, G. M.; Yannuzzi, V. T.; Avramov, A.; Greenberg, S.; Johnson, N.; Zhang, G.; Poellot, M. R.; Mather, J. H.; Turner, D. D.; Eloranta, E. W.; Zak, B. D.; Prenni, A. J.; Daniel, J. S.; Kok, G. L.; Tobin, D. C.; Holz, R.; Sassen, K.; Spangenberg, D.; Minnis, P.; Tooman, T. P.; Ivey, M. C.; Richardson, S. J.; Bahrmann, C. P.; Shupe M.; DeMott, P. J.; Heymsfield, A. J. and Schofield, R.. The Mixed-Phase Arctic Cloud Experiment. Bulletin of the American Meteorological Society, Volume: 88, Issue: 2, 2007, pp.205-221. Reprint # 5311. 
 Link to PDF

7785. Verlinde, Johannes; Harrington, J. Y.; McFarquhar, G. M.; Mather, J. H.; Turner, D.; Zak, B.; Poellot, M. R.; Tooman, T.; Prenni, A. J.; Eloranta, E.; Fridlind A.; Bahrmann, C.; Sassen, K.; DeMott, P. J. and Heymsfield, A. J.. Overview of the Mixed-Phase Arctic Cloud Experiment (M-PACE). Boston, MA, American Meteorological Society, 2005, Paper P1.14. Reprint # 3959. 

7786. Verma, Sunita; Worden, John; Pierce, Brad; Jones, Dylan B. A.; Al-Saadi, Jassim; Boersma, Folkert; Bowman, Kevin; Eldering, Annmarie; Fisher, Brendan; Jourdain, Line; Kulawik, Susan and Worden, Helen. Ozone production in boreal fire smoke plumes using observations from the Tropospheric Emission Spectrometer and the Ozone Monitoring Instrument. Journal of Geophysical Research-Atmospheres, Volume: 114, 2009, doi:10.1029/2008JD010108. Reprint # 6063. 
 Link to PDF

7787. Vermeuel, Michael P.; Novak, Gordon A.; Alwe, Hariprasad D.; Hughes, Dagen D.; Kaleel, Rob; Dickens, Angela F.; Kenski, Donna; Czarnetzki, Alan C.; Stone, Elizabeth A.; Stanier, Charles O.; Pierce, R. Bradley; Millet, Dylan B. and Bertram, Timothy H.. Sensitivity of ozone production to NOx and VOC along the Lake Michigan coastline. Journal of Geophysical Research-Atmospheres, Volume: 124, Issue: 20, 2019, pp.10989-11006. Reprint # 8477. 
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7788. 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. Reprint # 7078. 
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7789. Vernier, Jean-Paul; Fairlie, T. D.; Murray, J. J. and Pavolonis, M. J.. Dispersion and optical properties of the Kasatochi volconic plume based on the CALIPSO space-borne lidar. Boston, MA, American Meteorological Society, 2014, Abstract J6.4. 

7790. Veron, Dana E.; Weaver, Christopher P.; Vernon, Fabrice and Foster, Michael J.. Stochastic radiative transfer on modeled cloud fields. IEEE Geoscience and Remote Sensing Letters, Volume: 6, Issue: 2, 2009, pp.184-188. Reprint # 6851. 

7791. Vibert, S. D.; Reed, B. E.; Solomon, R. L.; Slonaker, R. L. and Huang, A.. The multi-spectral NPOESS/VIIRS cloud thermodynamic phase algorithm. Washington, DC, American Geophysical Union, 2001, Abstract A11A-0030. 

7792. Vicente, Gilberto A. and Heidinger, A. K.. Operational cloud detection systems in the NPOESS GOES-R era. Boston, MA, American Meteorological Society, 2007, Abstract P2.11. 

7793. Vicente, Gilberto A. and Heidinger, A. K.. The NOAA/NESDIS NPOESS/MetOp derived cloud products system. Boston, MA, American Meteorological Society, 2008, Abstract JP1.29. 

7794. Vicente, Gilberto A.; Scofield, Roderick A. and Menzel, W. Paul. The operational GOES infrared rainfall estimation technique. Bulletin of the American Meteorological Society, Volume: 79, Issue: 9, 1998, pp.1883-1898. Reprint # 2472. 
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7795. Vidot, J. and Borbas, E.. Developing a visible and near infrared land surface BRDF model for RTTOV. 2012, abstract. 

7796. Vidot, J.; Bennartz, R.; O'Dell, C. W.; Preusker, R. and Heidinger, A. K.. Retrieval of carbon dioxide amount over boundary layer clouds OCO methodology applied to SCIAMACHY. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2007, poster presentation. 
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7797. Vidot, Jerome and Borbas, Eva. Land surface VIS/NIR BRDF module for RTTOV-11: Model and validation against SEVIRI land SAF albedo product. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012, poster presentation. 1p. 
 Link to PDF

7798. Vidot, Jerome and Borbas, Eva. Land surface VIS/NIR BRDF module for RTTOV-11: Model and validation against SEVIRI land SAF albedo product. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012. 10p. 
 Link to PDF

7799. Vidot, Jerome and Borbas, Eva. Land surface VIS/NIR BRDF atlas for RTTOV-11: Model and validation against SEVIRI land SAF albedo product. Quarterly Journal of the Royal Meteorological Society, Volume: 140, Issue: 684, 2014, pp.2186-2196. Reprint # 7321. 

7800. Vidot, Jerome; Bennartz, Ralf; O'Dell, Christopher W.; Preusker, Rene and Heidinger, Andrew K.. CO2 retrieval over clouds: The OCO methodology applied to SCIAMACHY. Munich, Germany, European Geophysical Union, 2008, Abstract A-08046. 
 Link to Abstract