Schwerdtfeger Library Publications Database


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Results: Found 3257 records (displaying records 126 through 150)

126. Aune, Robert M. and Strabala, Kathy. IMAPP Direct Broadcast CIMSS Regional Assimilation System (DBCRAS). Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2013, poster presentation. 1p. 
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127. Aune, Robert M. and Strabala, Kathy. Improvements to the IMAPP Direct Broadcast CIMSS Regional Assimilation System (DBCRAS). Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2013, PowerPoint presentation. 17 slides. 
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128. Aune, Robert M. and Warner, Thomas T.. Impact of SEASAT wind data on a statically initialized numerical model. Boston, MA, American Meteorological Society, 1983, pp.220-225. Reprint # 4476. 

129. Aune, Robert M.; Callan, Geary M. and Hibbard, Bill. A 4D visualization of a 4D assimilation system. Boston, MA, American Meteorological Society, 1991, pp.614-615. Reprint # 1591. 

130. Aune, Robert M.; Cronce, L. M. and Petersen, R. A.. Short range forecasts of convective destabilization using information from the advanced Himawari imager. Boston, MA, American Meteorological Society, 2016, Abstract 3.2. 

131. Aune, Robert M.; Frey, Richard and Wetzel-Seemann, Suzanne. Evaluating water vapor and cloud retrievals from MODIS over Antarctica. Boston, MA, American Meteorological Society, 2003, Paper P3.12. Reprint # 3299. 

132. Aune, Robert M.; Lewis, John M. and Wade, Gary S.. William H. Raymond: 1941-2003. ObituaryBulletin of the American Meteorological Society, Volume: 85, Issue: 5, 2004, pp.770. Reprint # 5022. 

133. Aune, Robert M.; Schmit, Timothy J.; Menzel, W. P.; Huang, H. L.; Schriener, A. J.; Bayler, G. and Thom, J.. Observing atmospheric moisture from geostationary orbit: How many channels is enough?. Piscataway, NJ, Institute of Electrical and Electronic Engineers, Inc. (IEEE), 2000, pp.3015-3017. Reprint # 3123. 

134. Aune, Robert M.; Strabala, K. I. and Lindstrom, S. S.. A mesoscale prediction system for high latitudes that assimilates Direct Broadcast MODIS. Boston, MA, American Meteorological Society, 2009, Abstract 12.5. 

135. Aune, Robert M.; Strabala, K. I.; Lindstrom, S. S. and Huang, A.. A portable mesoscale prediction system for MODIS direct broadcast sites. Boston, MA, American Meteorological Society, 2009, Abstract 17B.4. 

136. Aune, Robert M.; Uccellini, Louis W.; Petersen, Ralph A. and Tuccillo, James J.. A VAS-numerical model impact study using the Gal-Chen variational approachMonthly Weather Review, Volume: 115, Issue: 5, 1987, pp.1009-1035. Reprint # 4320. 
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137. Austerberry, D.; Yates, E. L.; Roby, M.; Chatfeld, R. B.; Iraci, L. T.; Pierce, B.; Fairlie, T. D.; Johnson, B. J. and Ives, M.. Two years of ozone vertical profiles collected from aircraft over California and the Pacific Ocean. Washington, DC, American Geophysical Union, 2012, Abstract A53Q-0429. 

138. Ayers, J. Kirk; Heck, Patrick W.; Rapp, Anita D.; Minnis, Patrick; Young, David F.; Smith, William L. Jr. and Nguyen, Louis. A one-year climatology of cloud properties derived from GOES-R over the southeastern Pacific for PACS. Boston, MA, American Meteorological Society, 2002, Paper P2.10. Reprint # 4519. 

139. Bah, Kaba; Achtor, T.; Rink, T. D.; Schmit, T. J.; Otkin, J. and Gerth, J.. Preparation for use of the GOES-R Advanced Baseline Imager (ABI). Boston, MA, American Meteorological Society, 2012, Abstract 317. 

140. Bah, Kaba; Gerth, Jordan; Feltz, Wayne and Schmit, Tim. UW-CIMSS Satellite products to the NWS forecast offices via AWIPS. Raleigh, NC, National Weather Association, 2012, Abstract P1.8. 

141. Bah, Kaba; Gerth, Jordan; Otkin, Jason and Schmit, Timothy. Operational uses of bands on the GOES-R Advanced Baseline Imager (ABI). Raleigh, NC, National Weather Association, 2009, abstract. 

142. Bah, Kaba; Greenwald, Tom; Pierce, Brad; Lenzen, Allen; Rogal, Marek; Nelson, Jim; Otkin, Jason; Schaack, Todd; Davies, Jim; Borbas, Eva; Sieglaff, Justin and Huang, Hung-Lung. Near-real-time validation of simulated GOES-R ABI radiances and derived products, using the WRF-Chem model forecast over CONUS for all 16 ABI bands. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

143. Bah, Kaba; Rogal, Marek; Greenwald, Tom; Pierce, Brad; Lenzen, Allen; Nelson, Jim; Otkin, Jason; Schaack, Todd; Davies, Jim; Borbas, Eva; Sieglaff, Justin and Huang, Hung-Lung. Near-real-time validation of simulated GOES-R ABI radiances and derived products, using the WRF-Chem model forecast over CONUS for all 16 ABI bands. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2013, PowerPoint presentation. 

144. Bah, Kaba; Schmit, T. J.; Achtor, T.; Rink, T.; Wolf, W.; Otkin, J.; Sieglaff, J. and Feltz, J.. Operational uses of bands on the GOES-R Advanced Baseline Imager (ABI). Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 29. 
Abstract Document Link to Abstract

145. Bah, Kaba; Schmit, T. J.; Gerth, J.; Cronce, M. and Otkin, J. A.. Preparation for use of GOES-R Advance Baseline Image (ABI). Boston, MA, American Meteorological Society (AMS), 2011, Abstract 582. 

146. Bah, Kaba; Schmit, Tim; Achtor, Tom; Cronce, Marcia and Wade, Gary. Available tools for visualizing and analyzing GOES-R Advanced Baseline Imager (ABI). Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011. 

147. Bah, Kaba; Schmit, Tim; Achtor, Tom; Cronce, Marcia and Wade, Gary. Available tools for visualizing and analyzing GOES-R Advanced Baseline Imager (ABI). Raleigh, NC, National Weather Association, 2011, Abstract P0.5. 

148. Bah, Kaba; Schmit, Tim; Sieglaff, Justin; Achtor, Tom and Cronce, Marcia. Working with the National Weather Service (NWS) forecasters in preparation for use of the GOES-R Advanced Baseline Imager (ABI). Raleigh, NC, National Weather Association, 2010, Abstract P2.7. 

149. Bah, Kaba; Schmit, Timothy J.; Gunshor, Mat; Pierce, Brad; Greenwald, Tom; Feltz, Joleen; Rogel, Marek; Lenzen, Allen; Schaack, Todd and Nelson, Jim. Using McIDAS-V to visualize and validate real time simulated WRF-CHEM data sets for GOES-R ABI bands and products. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2013, PowerPoint presentation. 
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150. Bah, M.K.; Gunshor, M.M. and Schmit, T.J.. Generation of GOES-16 true color imagery without a green bandEarth and Space Science, Volume: 5, 2018, pp.549-558. Reprint # 8312. 
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