Schwerdtfeger Library Publications Database

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Results: Found 539 records (displaying records 126 through 150)

126. Garand, Louis and Weinman, James A.. A structural-stochastic model for the analysis and synthesis of cloud imagesJournal of Climate and Applied Meteorology, Volume: 25, Issue: 7, 1986, pp.1052-1068. Reprint # 721. 
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127. Garcia, Raymond K.; Flynn, Bruce M.; Knuteson, Robert O.; Whittaker, Thomas; Rink, Thomas; Achtor, Thomas; Mindock, Scott; Dutcher, Steven T.; Snuga-Otto, Maciaj J. and Martin, Graeme D.. Tools for integrating distributed computing with interactive visualization in McIDAS-V. Boston, MA, American Meteorological Society, 2008, Paper 6A.8. Reprint # 5647. 

128. Garms, Elise M.; Borbas, Eva; Knuteson, Robert; Menzel, Paul; Plokhenko, Youri; Revercomb, Henry and Tobin, David. Validation of a 3-D cloud product (UW-CAVP) derived from NASA Atmospheric Infrared Sounder (AIRS) radiances with MODIS, CALIPSO, and COSMIC GPS satellite data using McIDAS-V version 1.0. Boston, MA, American Meteorological Society (AMS), 2011, Paper 8. Reprint # 8058. 

129. Gautier, Catherine; Diak, G. and Masse, S.. An investigation of the effects of spatially averaging satellite brightness measurements on the calculation of insolationJournal of Climate and Applied Meteorology, Volume: 23, Issue: 9, 1984, pp.1380-1386. Reprint # 610. 
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130. Gehrels, T.; Suomi, V. E. and Krauss, R. J.. The capabilities of the spin-scan imaging technique. Berlin, Akademie-Verlag, 1972, pp.1765-1769. Reprint # 452. 

131. Goodman, Brian M.; Diak, G. R. and Mills, G. A.. Analysis and forecast experiments incorporating satellite soundings and cloud and water vapor drift wind information. Boston, MA, American Meteorological Society, 1986, pp.142-145. Reprint # 711. 

132. Goodman, H. Michael; Auvine, Brian and Santek, David. The relationship of satellite and radar storm signatures to the subsynoptic wind field. Boston, MA, American Meteorological Society, 1982, pp.217-220. Reprint # 309. 

133. Goodman, H. Michael; Chase, Robert; Dodge, James; Spencer, Roy; Star, Jeffrey; Wilson, Gregory and Young, J. T.. WetNet: A NASA earth science and applications data system prototype for global moisture cycle studies. Boston, MA, American Meteorological Society, 1989, pp.395-396. Reprint # 1112. 

134. Gumley, Liam. NPP Atmospheric Product Evaluation and Test Element (PEATE) at SSEC. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2005, PowerPoint presentation. 
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135. Gunshor, Mat; Schmit, Tim; Feltz, Joleen; Bah, Kaba and Whittaker, Tom. Using McIDAS to prepare users for the ABI. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2015, PowerPoint presentation. 
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136. Haig, Thomas. The McIDAS system. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 1977, pp.171-178. Call Number: UW SSEC Publication No.77.08.I1. 
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137. Hallock, Kevin. Scripting McIDAS-X in a Python environment. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2013, PowerPoint presentation. 
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138. Hayden, Christopher M. and Purser, James C.. Applications of a recursive filter, objective analysis in the processing and presentation of VAS data. Boston, MA, American Meteorological Society, 1986, pp.82-87. Reprint # 713. 

139. Hayden, Christopher M. and Purser, R. James. Recursive filter objective analysis of meteorological fields: Applications to NESDIS operational processingJournal of Applied Meteorology, Volume: 34, Issue: 1, 1995, pp.3-15. Reprint # 1829. 
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140. Hayden, Christopher M. and Taylor, B. F.. The applications of AVHRR data to fine scale temperature and moisture retrievals obtained from NOAA satellites. Boston, MA, American Meteorological Society, 1985, J22-J28. Reprint # 673. 

141. Hayden, Christopher M.; Menzel, W. P. and Schreiner, A. J.. The clouds and VAS. Boston, MA, American Meteorological Society, 1984, pp.49-54. Reprint # 553. 

142. Hayden, Christopher M.; Smith, William L. and Woolf, Harold M.. Determination of moisture from NOAA polar orbiting satellite sounding radiancesJournal of Applied Meteorology, Volume: 20, Issue: 4, 1981, pp.450-466. Reprint # 189. 
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143. Heikkinen, Stacey Michelle. The influence of variations in surface energy budget parameterizations on a subsynoptic scale model forecast. Madison, WI, University of Wisconsin-Madison, Department of Meteorology, 1985. Call Number: UW MET Publication No.85.00.H1. 

144. Heinzelman, Jay Scott. Lagrangian trajectory analysis of tropical circulations using VIS-5D. Madison, WI, University of Wisconsin-Madison, Department of Atmospheric and Oceanic Sciences, 1997. Call Number: UW MET Publication No.97.08.H1. 

145. Herman, Leroy D.. Some meteorological applications of AVHRR using McIDAS. Ann Arbor, MI, Environmental Research Institute of Michigan, 1987, p459. Reprint # 1945. 

146. Herman, Leroy D. and Smith, W. L.. Intercomparison of preliminary Earth Radiation Budget Satellite (ERBS) flux estimates and geostationary satellite multi-spectral 'VAS' radiance measurements. Boston, MA, American Meteorological Society, 1986, J34-J37. Reprint # 722. 

147. Hibbard, Bill. McIDAS-V: The long view. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2009, PowerPoint presentation. 
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148. Hibbard, Bill and Dengel, G.. The GOES catalog on McIDAS. Boston, MA, American Meteorological Society, 1986, pp.98-100. Reprint # 676. 

149. Hibbard, Bill and Santek, Dave. The VIS-5D system for easy interactive visualization. Boston, MA, American Meteorological Society, 1991, pp.129-134. Reprint # 1167. 

150. Hibbard, Bill and Santek, David A.. Visualizing large data sets. Boston, MA, American Meteorological Society, 1989, pp.135-138. Reprint # 1053.