91026. Velden, Christopher; Majumdar, Sharan; Doyle, Jim; Hawkins, Jeff; Anderson, Jeff; Lui, Hui; Li, Jun; Atlas, Bob; Knaff, John; Lewis, William; Reinecke, Alex; Yang, Song; Hao, Jin and Wu, Ting-Chi. Improving the assimilation of multiple and integrated high-resolution satellite datasets in mesoscale models of tropical cyclones. Washington, DC, US Department of Commerce, National Oceanic and Atmospheric Administration (NOAA), Office of the Federal Coordinator for Meteorology, 2013, PowerPoint presentation. 

91027. Velden, Christopher; Majumdar, Sharanya J. and Langland, Rolf. Advanced satellite-derived wind observations, assimilation, and targeting strategies during TCS-08 for developing improved operational analysis and prediction of Western Pacific tropical cyclones. Award No.N00014-08-1-0251. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2013. Call Number: UW SSEC Publication No.13.09.V2. 
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91028. Velden, Christopher; Majumdar, Sharanya J. and Langland, Rolf. Advanced satellite-derived wind observations, assimilation, and targeting strategies during TCS-08 for developing improved operational analysis and prediction of Western Pacific tropical cyclones. Award No.N00014-08-1-0251. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012. Call Number: UW SSEC Publication No.12.00.V1. 
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91029. Velden, Christopher; Majumdar, Sharanya J. and Langland, Rolf. Advanced satellite-derived wind observations, assimilation, and targeting strategies during TCS-08 for developing improved operational analysis and prediction of Western Pacific tropical cyclones. Award No.N00014-08-1-0251. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2011. Call Number: UW SSEC Publication No.11.09.V2. 
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91030. Velden, Christopher; Majumdar, Sharanya J. and Langland, Rolf. Advanced satellite-derived wind observations, assimilation, and targeting strategies during TCS-08 for developing improved operational analysis and prediction of Western Pacific tropical cyclones. Award No.N00014-08-1-0251. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2013. Call Number: UW SSEC Publication No.13.09.V2. 
 Link to PDF

91031. Velden, Christopher; Majumdar, Sharanya J. and Langland, Rolf. Advanced satellite-derived wind observations, assimilation, and targeting strategies during TCS-08 for developing improved operational analysis and prediction of Western Pacific tropical cyclones. Award No.N00014-08-1-0251. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012. Call Number: UW SSEC Publication No.12.00.V1. 
 Link to PDF

91032. Velden, Christopher; Majumdar, Sharanya J. and Langland, Rolf. Advanced satellite-derived wind observations, assimilation, and targeting strategies during TCS-08 for developing improved operational analysis and prediction of Western Pacific tropical cyclones. Award No.N00014-08-1-0251. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2011. Call Number: UW SSEC Publication No.11.09.V2. 
 Link to PDF

91033. 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), 2010. Call Number: UW SSEC Publication No.10.09.V1. 
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91034. 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), 2011. Call Number: UW SSEC Publication No.11.09.V1. 
 Link to PDF

91035. 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), 2012. Call Number: UW SSEC Publication No.12.09.V1. 
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91036. 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

91037. 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), 2010. Call Number: UW SSEC Publication No.10.09.V1. 
 Link to PDF

91038. 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), 2011. Call Number: UW SSEC Publication No.11.09.V1. 
 Link to PDF

91039. 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), 2012. Call Number: UW SSEC Publication No.12.09.V1. 
 Link to PDF

91040. 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

91041. 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. 

91042. 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. 

91043. 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. 

91044. 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. 

91045. 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. 
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91046. 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

91047. 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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91048. 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. 
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91049. 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. 
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91050. 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. 
 Link to PDF