Schwerdtfeger Library Publications Database


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Results: Found 835 records (displaying records 201 through 225)

201. Gravelle, Chad M.. Preliminary results from evaluating operational applications of multiple spectral bands for the GOES-R era at the operations proving ground. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. 

202. Gravelle, Chad M. and Runk, Kim J.. Results from evaluating different GOES-R scanning strategies at the Operations Proving Ground. Results from the Operations Proving Ground 1-minute satellite imagery evaluation. National Oceanic and Atmospheric Administration (NOAA), 2015, abstract; PowerPoint presentation. 

203. Gravelle, Chad M. and Runk, Kim J.. Evaluating operational applications of multiple spectral bands for the GOES-R era at the Operations Proving Ground. Raleigh, NC, National Weather Association, 2016, PowerPoint presentation. 

204. Gravelle, Chad M. and Terborg, A.. The GOES-R Proving Ground 2012 aviation weather testbed summer experiment - case studies. Boston, MA, American Meteorological Society, 2013, Abstract J2.4. 

205. Gravelle, Chad M.; Mecikalski, J.; Petersen, R.; Sieglaff, J. and Stano, G. T.. Using GOES-R demonstration products to bridge the gap between severe weather watches and warnings for the 20 May 2013 Moore, OK tornado outbreak. Boston, MA, American Meteorological Society, 2014, Abstract J1.2. 

206. Gravelle, Chad M.; Mecikalski, John R.; Line, William E.; Bedka, Kristopher M.; Petersen, Ralph A.; Sieglaff, Justin M.; Stano, Geoffrey T. and Goodman, Steven J.. Demonstration of a GOES-R satellite convective toolkit to 'bridge the gap' between severe weather watches and warnings: An example from the 20 May 2013 Moore, Oklahoma, tornado outbreakBulletin of the American Meteorological Society, Volume: 97, Issue: 1, 2016, pp.69-84. Reprint # 7564. 
PDF Document Link to PDF

207. Gravelle, Chad M.; Pavolonis, Michael J. and Calvert, Corey G.. GOES-R fog and low cloud product demonstration within the National Weather Service Central Region. Raleigh, NC, National Weather Association, 2012, Abstract P1.15. 

208. Gravelle, Chad M.; Petersen, R. A.; Mecikalski, J. R.; Line, W.; Sieglaff, J. and Stano, G. T.. Using GOES-R demonstration products to bridge the gap between severe weather watches and warnings for the 20 May 2013 Moore, OK tornado outbreak. Boston, MA, American Meteorological Society, 2014, Abstract J1.1. 

209. Gravelle, Chad M.; Runk, K. J.; Crandall, K. L. and Snyder, D. W.. Evaluating operational applications of multiple spectral bands for the GOES-R era at the operations proving ground. Boston, MA, American Meteorological Society, 2017, Abstract 1317. 

210. Gravelle, Chad; Mecikalski, John; Petersen, Ralph; Sieglaff, Justin and Stano, Geoffrey. Using GOES-R demonstration products to bridge the gap between severe weather watches and warning for the 20 May 2013 Moore, OK tornado outbreak. National Oceanic and Atmospheric Administration (NOAA), 2014, abstract; PowerPoint presentation. 

211. Gravelle, Chad; Mecikalski, John; Petersen, Ralph; Sieglaff, Justin and Stano, Geoffrey. Using GOES-R demonstration products to bridge the gap between severe weather watches and warning for the 20 may 2013 Moore, OK tornado outbreak. Raleigh, NC, National Weather Association, 2013, abstract. 

212. Greenwald, Thomas J.; Pierce, R. Bradley; Schaack, Todd; Otkin, Jason; Rogal, Marek; Bah, Kaba; Lenzen, Allen; Nelson, Jim; Li, Jun and Huang, Hung-Lung. Real-time simulation of the GOES-R ABI for user readiness and product evaluation. SupplementBulletin of the American Meteorological Society, Volume: 97, Issue: 2, 2016, doi/suppl/10.1175/BAMS-D-14-00007.1. Reprint # 7570. 
PDF Document Link to PDF

213. Greenwald, Thomas J.; Pierce, R. Bradley; Schaack, Todd; Otkin, Jason; Rogal, Marek; Bah, Kaba; Lenzen, Allen; Nelson, Jim; Li, Jun and Huang, Hung-Lung. Real-time simulation of the GOES-R ABI for user readiness and product evaluationBulletin of the American Meteorological Society, Volume: 97, Issue: 2, 2016, pp.245-261. Reprint # 7570. 
PDF Document Link to PDF

214. Greenwald, Thomas; Huang, H. L.; Tobin, D.; Yang, P.; Otkin, J.; Olson, E. R. and Moy, L.. Evaluation of simulated GOES-R HES and ABI thermal radiance measurements. Boston, MA, American Meteorological Society, 2007, Abstract P1.25. 

215. Greenwald, Thomas; Pierce, R. B.; Bah, K.; Zajic, J. K. and Lenzen, A. L.. Real-time proxy GOES-R ABI data for user readiness, ground system support and product evaluation. Boston, MA, American Meteorological Society, 2017, Abstract 752. 

216. Greenwald, Thomas; Sieglaff, J.; Lee, Y. K.; Huang, H. L.; Otkin, J.; Olson, E. and Gunshor, M.. Verifying large-scale, high-resolution simulations of clouds for GOES-R activities. Boston, MA, American Meteorological Society, 2008, Abstract P1.68. 

217. Greenwald, Tom. Preliminary validation of simulated proxy data cloud fields using GOES-12 imager data. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2008, Abstract 11. 
Abstract Document Link to Abstract

218. Greenwald, Tom; Lee, Y. K. and Huang, A.. Validation of cirrus infrared scattering properties used in the production of simulated GOES-R ABI proxy data. Boston, MA, American Meteorological Society, 2012, Abstract 298. 

219. Greenwald, Tom; Pierce, B.; Otkin, J.; Schaack, T.; Davies, J.; Borbas, E.; Rogal, M.; Sieglaff, J. and Huang, H. L.. Near-real-time simulated ABI imagery for user readiness, retrieval algorithm evaluation and model verification. Boston, MA, American Meteorological Society, 2013, Abstract 294. 

220. Greenwald, Tom; Pierce, Brad; Schaack, Todd; Otkin, Jason; Bah, Kaba; Davies, Jim; Sieglaff,Justin; Lenzen, Allen; Nelson, Jim; Rogal, Marek and Huang, Hung-Lung Allen. Near-real-time proxy ABI products for GOES-R user readiness. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation. 

221. Griffin, Sarah M.; Bedka, Kristopher M. and Velden, Christopher S.. GOES-R risk reduction research on satellite-derived overshooting tops. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, poster presentation. 

222. Griffin, Sarah M.; Otkin, Jason A.; Thompson, Gregory; Frediani, Maria; Berner, Judith and Kong, Fanyou. Assessing the impact of stochastic perturbations in cloud microphysics using GOES-16 infrared brightness temperaturesMonthly Weather Review, Volume: 148, Issue: 8, 2020, pp.3111-3137. Reprint # 8608. 
PDF Document Link to PDF

223. Griffith, Paul C.; Lebair, W. J.; Schmit, T. J.; Wu, X. and Van Naarden, J.. GOES-R Advanced Baseline Imager (ABI): The next generation of geostationary imager weather and environmental products. Boston, MA, American Meteorological Society, 2017, Abstract 2.2. 

224. Griffith, Paul C.; Lebair, W. J.; Schmit, T. J.; Wu, X. and Van Naarden, J.. Initial on-orbit Avanced Baseline Imager (ABI) performance observations. Boston, MA, American Meteorological Society, 2017, Abstract 10.2. 

225. Grotenhuis, Michael G.; Wu, Xiangqian; Li, Zhengping; Schmit, Timothy J.; Yu, Fangfang; Lindstrom, Scott and Cao, Changyong. On-orbit characterization of the GOES imager channel-to-channel co-registration and correction algorithm evaluation. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation.