Schwerdtfeger Library Publications Database


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Results: Found 835 records (displaying records 176 through 200)

176. Gerth, Jordan J.. How AWIPS II will bring GOES-R capabilities and science to the field, both pre- and post-launch. Raleigh, NC, National Weather Association, 2011, PowerPoint presentation. 

177. Gerth, Jordan J.. The ingredients for sustaining success in NOAA R20 for GOES-R. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

178. Gerth, Jordan J.. The ingredients for sustaining success in NOAA R2O for GOES-R. Boston, MA, American Meteorological Society, 2013, Abstract TJ49.5. 

179. Gerth, Jordan J.; Hoese, D.; Garcia, R.; Lindstrom, S. and Strabala, K.. Visualizing new-generation geostationary satellite imagery with SIFT. Boston, MA, American Meteorological Society, 2017, Abstract 4.3. 

180. Gerth, Jordan J.; Schmit, Timothy J. and Goodman, Steven J.. Future geostationary weather satellites. Raleigh, NC, National Weather Association, 2014, Abstract B3.4. 

181. Gerth, Jordan; Schmit, Timothy J. and Ward, Bill D.. GOES-R: The new generation begins with Himawari-8. Raleigh, NC, National Weather Association, 2015, Abstract. 

182. Gerth, Jordon. Confronting data delivery challenges of the future via the GOES-R proving ground. Boston, MA, American Meteorological Society, 2010, Abstract P10.3. 

183. Gerth, Jordon and Bachmeier, A. S.. The CIMSS/ASPB component of the GOES-R Proving Ground program. Boston, MA, American Meteorological Society, 2009, Abstract 12B.4. 

184. Gladkova, Irina; Cross, James; Heidinger, Andrew; Menzel, Paul and Grossberg, Michael. Cloud-top pressure estimation fromVIIRS using statistically-reconstructed 13.3 micron channel. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

185. Goldberg, Mitch; Gumley, Liam; Strabala, Kathy and Martin, Graeme. JPSS/GOES-R Community Satellite Processing Package (CSPP). Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2016, PowerPoint presentation. 

186. Goldberg, Mitch; Weng, F.; Wu, X.; Yu, F.; Wang, L.; Tobin, D. C. and Gunshor, M. M.. The Global Space-based InterCalibration System (GSICS) for GOES-R and JPSS. Boston, MA, American Meteorological Society (AMS), 2011, Abstract 602. 

187. Goodman, S. J.; Schmit, T. J.; Lindsey, D. T. and Denig, W. F.. GOES-R rapid refresh imagery advances for the earth and space weather enterprise. Washington, DC, American Geophysical Union, 2014, Abstract IN42A-05. 

188. Goodman, Steven J.; Gurka, J. J.; Schmit, T. J.; Feltz, W. F.; Mecikalski, J. R.; Siewert, C. W.; Kuhlman, K. M. and Slano, G. T.. The GOES-R Proving Ground: Demonstrating future products to aid severe local storm forecasting. Boston, MA, American Meteorological Society, 2012, Abstract 3.6. 

189. Goodman, Steven J.; Gurka, James; DeMaria, Mark; Schmit, Timothy J.; Mostek, Anthony; Jedlovec, Gary; Siewert, Chris; Feltz, Wayne; Gerth, Jordan; Brummer, Renate; Miller, Steven; Reed, Connie and Reynolds, Richard R.. The GOES-R Proving Ground: Accelerating user readiness for the next-generation geostationary environmental satellite systemBulletin of the American Meteorological Society, Volume: 93, Issue: 7, 2012. Reprint # 6762. 
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190. Goodman, Steven J.; Schmit, T. J.; Lindsey, D. T.; Pavolonis, M. J. and Line, W.. NOAA new generation satellite capabilities for improved severe storm forecasts and warnings. Boston, MA, American Meteorological Society, 2017, Abstract 4.2. 

191. Goodman, Steven; Burka, James; Schmit, Timothy; DeMaria, Mark; Lindsey, Daniel; Feltz, Wayne; Bachmeier, Scott; Bedka, Kris; Miller, Steven; Bruning, Eric; Jedlovec, Gary and Blakeslee, Richard. The GOES-R satellite proving ground: Nowcasting applications and results from the 2009 hazardous weather testbed experimental forecast and warning demonstration. s.l., Environment Canada, 2009, pp.94. Abstract. 

192. Graeme, Martin; Gumley, Liam; Bearson, Nick; Braun, Jessica; Cureton, Geoff; DeSmet, Alan; Garcia, Ray; Jasmin, Thommy; Mindock, Scott and Strabala, Kathy. CSPP geo software for processing GOES-R/16 direct broadcast. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 1.22. 

193. Grams, H.; Gourley, J. J.; Rabin, R. and Kirstetter, P.. Merging GOES-R ABI and TRMM/GPM observations with MRMS ground-based radar for real-time QPE in complex terrain. Washington, DC, American Geophysical Union, 2014, Abstract A11A-3008. 

194. Granville, Chad M.. Introduction to GOES-R derived products usined in the Proving Ground. Boston, MA, American Meteorological Society, 2015, PowerPoint presentation. 

195. Gravelle, C.; Mecikalski, J.; Petersen, R.; Line, B.; Sieglaff, J. and Stano, G.. Using GOES-R demonstration products to bridge the gap between severe weather watches and warnings for the 20 May 2013 Moore, OK tornado outbreak. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2014, abstract. 

196. Gravelle, C.; Pavolonis, M.; Calvert, C. and Lindstrom, S.. Transitioning the GOES-R fog and low stratus products from research to operations. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2014, abstract. 

197. Gravelle, Chad. Using research-to-operations evaluation results to shape a National Weather Service training experience. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation. 
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198. Gravelle, Chad. Evaluating GOES-R scanning strategies at the operations proving ground. National Oceanic and Atmospheric Administration (NOAA), 2014, PowerPoint presentation. 

199. Gravelle, Chad and Laflin, Jenni. GOES-16 applications for monitoring convection and wildfires. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation. 
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200. Gravelle, Chad and Radell, Dave. GOES-16 operational applications: Conversations with users. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation. 
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