Schwerdtfeger Library Publications Database

Results: Found 839 records (displaying records 426 through 450)

426. Lindsey, Dan and Heidinger, Andy. GOES-R risk reduction status. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation.

427. Lindsey, Dan and Heidinger, Andy. GOES-R risk reduction status. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, PowerPoint presentation.

428. Lindsey, Dan; Grasso, Louie; Mecikalski, John; Walker, John; Schultz, Lori; Rabin, Bob; Velden, Chris; Wanzong, Steve and Vant-Hull, Brian. Convective storm forecasting 1-6 hours prior to initiation. National Oceanic and Atmospheric Administration (NOAA), 2013, abstract; PowerPoint presentation.

429. 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.

430. 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.

431. 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.

432. 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.

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

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

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

436. 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.

437. 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.

438. 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.

439. 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.

440. 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.

441. 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.
PDF Document Link to PDF

442. Liu, Chian-Yi; Li, Jun and Schmit, Timothy J.. The Hyperspectral Environmental Suite (HES) simulation study using MM5 data. Boston, MA, American Meteorological Society, 2004, Paper P1.12. Reprint # 3782.

443. Liu, Y.; Key, J. R. and Wang, X.. Monitoring inland ice cover under all-weather conditions with the combined use of microwave and GOES-R observations. Washington, DC, American Geophysical Union, 2010, Abstract C51A-0470.

444. Liu, Yinghui; Key, Jeffrey R. and Wang, Xuanji. Ice cover and sea and lake ice concentration with GOES-R ABI. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.

445. Liu, Yinghui; Key, Jeffrey R. and Wang, Xuanji. Ice cover and sea and lake ice concentration with GOES-R ABI. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.

446. Liu, Yinghui; Key, Jeffrey R. and Wang, Xuanji. Sea and lake ice concentration, extent, and motion with GOES-R ABI. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 16.
Abstract Document Link to Abstract

447. Liu, Yinghui; Key, Jeffrey R. and Wang, Xuanji. Ice cover and sea and lake ice concentration with GOES-R ABI. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2010, PowerPoint presentation.

448. Mahani, Shayesteh; Luo, Johnny; Rossow, William; Khanbilvardi, Reza; Tesfagiorgis, K.; Rabin, Robert; Heidinger, Andrew and Kuligowski, Robert. Cloud-top relief spatial displacement adjustments of GOES-R images. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2011, PowerPoint presentation.

449. Mahani, Shayesteh; Luo, Johnny; Rossow, William; Khanbilvardi, Reza; Tesfagiorgis, Kibre; Rabin, Robert; Heidinger, Andrew and Kuligowski, Robert. Cloud-top relief spatial displacement adjustments of GOES-R images. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2012, PowerPoint presentation.

450. Martin, Graeme; Gumley, Liam; Bearson, Nick; Braun, Jessica; Cureton, Geoff; Garcia, Ray; Jasmin, Tommy; Mindock, Scott and Strabala, Kathy. CSPP Geo: Support for GOES-R in the Community Satellite Processing Package for geostationary data. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2015, PowerPoint presentation. 24 slides.
PPT Document Link to PPT