4151. Lindsey, Daniel T.; Grasso, L.; Sieglaff, J.; Otkin, J. A.; Rabin, R. M. and Kain, J. S.. Simulating GOES-R satellite imagery from WRF output. Boston, MA, American Meteorological Society, 2010, Abstract P7.5. 

4152. Lindsey, Daniel T.; Grasso, Louie; Bikos, Dan; Siewert, Chris; Rabin, Robert and Kain, Jack. Simulated satellite imagery: A new tool for real-time model evaluation. Raleigh, NC, National Weather Association, 2011, Abstract P3.18. 

4153. Lindsey, Daniel T.; Heidinger, Andrew K.; Sullivan, Pamela C.; McCorkel, Joel; Schmit, Timothy J.; Tomlinson, Michelle; Vandermeulen, Ryan; Frost, Gregory J.; Kondragunta, Shobha; Rudlosky, Scott. GeoXO: NOAA's Future Geostationary Satellite System. Bulletin of the American Meteorological Society, Volume: 105, Issue: 3, 2024, E660-E679. 
 Link to PDF

4154. Lindsey, Daniel T.; Miller, S. D.; Seaman, C. J.; Molenar, D. A.; Hillger, D. W.; Schmit, T. J.; Straka, W. and Sumida, Y.. A first look at imagery from Himawari-8. Boston, MA, American Meteorological Society, 2016, Abstract 731. 

4155. Lindsey, Daniel T.; Novak, Petr; Rabin, Robert M.; Wang, Pao K.; Kerkmann, Jochen; Radova, Michaela and Stastka, Jindrich. Cold-ring shapped storms in central Europe. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2008, PowerPoint presentation. 

4156. Lindsey, Daniel T.; Schmit, T. J.; MacKenzie, W. M. Jr.; Grasso, L.; Gunshor, M. and Jewett, C. P.. The 10.35 micrometer band: A more appropriate window band for GOES-R ABI than 11.2?. Boston, MA, American Meteorological Society, 2012, Abstract 6.5. 

4157. Lindsey, Daniel T.; Schmit, Timothy J.; MacKenzie, Wayne M. Jr.; Jewett, Christopher P.; Gunshor, Mat M. and Grasso, Louie. 10.35 micron: Atmospheric window on the GOES-R Advanced Baseline imager with less moisture attenuation. Journal of Applied Remote Sensing, Volume: 6, Issue: 1, 2012, doi:10.1117/1.JRS.6.063598. Reprint # 6907. 

4158. Lindsey, Daniel; Miller, Steven; Schmit, Timothy and Goodman, Steven. Operational use of GOES-16 imagery by the US National Weather Service. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 280. 

4159. Lindsey, David T.; Otkin, Jason; Sieglaff, Justin; Bikos, Dan and Grasso, Louie. Improving forecasting of clouds and convection using simulated satellite imagery. Raleigh, NC, National Weather Association, 2012, Abstract F17.1. 

4160. Lindstot, R.; Stengel, M.; Schroder, M.; Bennartz, R.; Schneider, N.; Preusker, R. and Fischer, J.. Using the ESA GlobVapour SSM/I-MERIS water vapour time series for climate studies. 2012, abstract. 

4161. Lindstrom, S. S.; Kursinski, E. R. and Bar-Sever, Y.. Comparison of GPS derived precipitable water vapor with the operational GOES water vapor product. Washington, DC, American Geophysical Union, 2000, Abstract A62B-20. 

4162. Lindstrom, S. S.; Lazzara, M. A.; Harkey, M. and Lynds, S. E.. Changes in climate literacy after taking an online class. Washington, DC, American Geophysical Union, 2013, Abstract ED33C-0781. 

4163. Lindstrom, Scott. Geostationary Lightning Mapper (GLM) capabilities and forecast applications. Boston, MA, American Meteorological Society, 2015, PowerPoint presentation. 

4164. Lindstrom, Scott. Fog and low stratus training resources: Blogs, videos and facts sheets (and how they complement each other). National Oceanic and Atmospheric Administration (NOAA), 2015, PowerPoint presentation. 

4165. Lindstrom, Scott. Understanding and using satellite data. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2018, abstract. 

4166. Lindstrom, Scott. Background generation of DBCRAS output images using McIDAS. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2009, PowerPoint presentation. 
 Link to PDF

4167. Lindstrom, Scott. Training sources for GOES-16. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation. 
 Link to PDF

4168. Lindstrom, Scott and Bachmeier, Scott. Blogging at CIMSS: Short compelling stories using satellite observations. Boston, MA, American Meteorological Society, 2014, recorded presentation. 

4169. Lindstrom, Scott and Gunshor, Mat. Training sources for GOES-16. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2017, PowerPoint presentation. 
 Link to PDF

4170. Lindstrom, Scott and Parker, Dave. GRIB2. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2005, PowerPoint presentation. 
 Link to PDF

4171. Lindstrom, Scott S.. The importance of conditional symmetric instability release on the simulation of frontogenesis: Results from a primitive equation model. Boston, MA, American Meteorological Society, 1989, pp.347-351. Reprint # 815. 

4172. Lindstrom, Scott S. and Bachmeier, A. S.. Most popular blog posts of 2015 from CIMSS. Boston, MA, American Meteorological Society, 2016, Abstract J2.1. 

4173. Lindstrom, Scott S. and Bachmeier, A. S.. The CIMSS Satellite Blog as a data source. Boston, MA, American Meteorological Society, 2016, Abstract 10.1. 

4174. Lindstrom, Scott S. and Bachmeier, A. S.. The use of blogs, Twitter and YouTube for outreach at CIMSS. Boston, MA, American Meteorological Society, 2015, Abstract J3.5. 

4175. Lindstrom, Scott S. and Bachmeier, A. S.. Applications of lightning data at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin-Madison. Boston, MA, American Meteorological Society, 2008, Abstract P2.4.