4176. Lindstrom, Scott S.; Feltz, W.; Bachmeier, S.; Sieglaff, J.; Cronce, L.; Calvert, C. and Pavolonis, M.. Leveraging the GOES-R Proving Ground process and forecaster feedback to improve GOES-R products and training material. Boston, MA, American Meteorological Society, 2013, Abstract 808. 

4177. Lindstrom, Scott S.; Lazzara, M. A.; Harkey, M. K. and Lynds, S.. A pre- and post-test given to climate students to gauge their learning. Boston, MA, American Meteorological Society, 2016, Abstract 196. 

4178. Lindstrom, Scott S.; Lazzara, M. A.; Harkey, M. K. and Lynds, S.. Changes in climate literacy after taking an online class. Boston, MA, American Meteorological Society, 2014, Abstract 201. 

4179. Lindstrom, Scott S.; Lazzara, M. A.; Harkey, M. K. and Lynds, S.. Hybrid and online climate instruction at Madison Area Technical College. Boston, MA, American Meteorological Society, 2013, Abstract 198. 

4180. Lindstrom, Scott S.; Lazzara, Matthew A.; Harkey, Monica K. and Lynds, Susan E.. Hybrid and online climate instruction at Madison Area Technical College. Washington, DC, American Geophysical Union, 2012, Abstract ED13D-0802. 

4181. Lindstrom, Scott S.; Petersen, R. A. and Aune, R. M.. Challenges in verifying predictions of the re-convective environment. Boston, MA, American Meteorological Society (AMS), 2011, Abstract 15A.4. 

4182. Lindstrom, Scott S.; Schmidt, C. C.; Prins, E. M.; Hoffman, J.; Brunner, J. and Schmit, T. J.. Proxy ABI datasets relevant for fire detection that are derived from MODIS data. Boston, MA, American Meteorological Society, 2008, Abstract P1.35. 

4183. Lindstrom, Scott S.; Schmit, T. J.; Gerth, J. J.; Gunshor, M. M.; Mooney, M. and Whittaker, T. M.. Hands-on activities designed to familiarize National Weather Service forecasters with data from ABI on GOES-R and AHI on Himawari-8. Boston, MA, American Meteorological Society, 2017, Abstract TJ2.6. 

4184. Lindstrom, Scott; Bachmeier, A. Scott; Feltz, Wayne F.; Sieglaff, Justin M. and Pavolonis, Mike. Leveraging the GOES-R Proving Ground process and forecaster feedback to improve GOES-R products and training material. Raleigh, NC, National Weather Association, 2012, Abstract F17.6. 

4185. Lindstrom, Scott; Gerth, Jordan and Ward, Bill. Training experience: Himawari training examples using SIFT. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. 

4186. Lindstrom, Scott; Parker, Dave and Baggett, Kevin. The ADDE GRIB server. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, 2005, PowerPoint presentation. 
 Link to PDF

4187. Lindstrom, Scott; Schmit, Timothy J.; Gunshor, Mathew M.; Daniels, Jaime; Bah, Kaba and Goodman, Steven J.. Latest assessment of GOES-R (16) Advanced Baseline Imager (ABI) data quality from an application and training perspective. Piscataway, NJ, Institute of Electrical and Electronic Engineers, Inc. (IEEE), 2017, pp.283-285. Reprint # 8238. 

4188. Lindstrot, R.; Preusker, R.; Diedrich, H.; Doppler, L.; Bennartz, R. and Fischer, J.. ID-Var retrieval of daytime total columnar water vapour from MERIS measurements. Atmospheric Measurement Techniques, Volume: 5, Issue: 3, 2012, pp.631-646. Reprint # 6718. 
 Link to PDF

4189. Line, Bill; Calhoun, Kristin; Kingfield, Darrel; Meyer, Tiffany; Garfield, Gabe; Mecikalski, John; Jewett, Chris; Sieglaff, Justin; Cintineo, John; Li, Jun; Stano, Geoffrey; Rabin, Bob; Lindsey, Dan; Pavolonis, Mike; Schimit, Tim; Goodman, Steve; Barnet, Chris and Gambacorta, Antonia. HWT 2016 GOES-R/JPSS spring experiment - Overview and preliminary takeaways through 3 (of 4) weeks. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation. 

4190. Line, Bill; Schmit, Tim; Lindsey, Dan; Goodman, Steve; Rabin, Bob; Weiss, Steve and Jirak, Israel. Use of 1-min satellite imagery in the Storm Prediction Center. Raleigh, NC, National Weather Association, 2015, PowerPoint presentation. 

4191. Line, William E.; Schmit, Timothy J.; Lindsey, Daniel T. and Goodman, Steven J.. Use of geostationary super rapid scan satellite imagery by the Storm Prediction Center. Weather and Forecasting, Volume: 31, Issue: 2, 2016. Reprint # 7587. 
 Link to PDF

4192. Line, William; Petersen, Ralph and Aune, Robert. Improving the depection of moisture transport in short-range forecasts of the pre-convective environment. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2013, unpaged. Reprint # 7468. 

4193. Line, William; Petersen, Ralph; Aune, Robert and Dworak, Richard. Future improvements to very-short-range forecasts of the pre-convective environment using operational geostationary satellite observations. Raleigh, NC, National Weather Association, 2012, Abstract P1.17. 

4194. Linne, H.; Turner, D. D.; Goldsmith, J. E. M.; Tooman, T. P.; Bosenberg, J.; Ertel, K. and Lehmann, S.. Intercomparison of DIAL and raman lidar measurements of humidity profiles. Paris, France, l'Ecole Polytechnique, 2001, pp.293-298. Reprint # 5993. 

4195. Lisonbee, Joel; Ribbe, Joachim; Otkin, Jason A. and Pudmenzky, Christa. Wet season rainfall onset and flash drought: the case of the northern Australian wet season. International Journal of Climatology, Volume: 42, Issue: 11, 2022. Reprint # 8784. 
 Link to PDF

4196. Little, C. G.; Hovermale, J. B.; McPherson, R. D. and Smith, W. L.. An evolutionary Approach to an improved numerical weather prediction system. Draft. (unable to verify publication), n.d.. Reprint # 915. 

4197. Liu, C.-Y. and Ackerman, S. A.. A simulated real-time severe weather nowcasting. s.l., International Society for Photogrammetry and Remote Sensing, 2011, pp.41-43. Reprint # 7847. 

4198. Liu, C.; Li, J. and Ackerman, S. A.. Are convective storms initiated from surface processes? - A view from satellites. Washington, DC, American Geophysical Union, 2010, Abstract A43B-0218. 

4199. Liu, C.; Li, J. and Ackerman, S. A.. The upper tropospheric signatures of convective storm from hyperspectral infrared soundings. Washington, DC, American Geophysical Union, 2010, Abstract A33C-155. 

4200. Liu, C.; Li, J.; Schmit, T. J.; Weisz, E.; Li, J. and Ackerman, S. A.. Retrieval of tropopause with hyperspectral infrared radiance measurements. Washington, DC, American Geophysical Union, 2008, Abstract A52A-08.