1426. Li, Zhenglong; Li, Jun; Menzel, W. Paul; Schmit, Timothy J. and Ackerman, Steven A.. Comparison between current and future environmental satellite imagers on cloud classification using MODIS. Remote Sensing of Environment, Volume: 108, Issue: 3, 2007, pp.311-326. Reprint # 5369.
1427. Li, Zhenglong; Li, Jun; Menzel, W. Paul; Schmit, Timothy J.; Nelson, James P. III; Daniels, Jaime and Ackerman, Steven A.. GOES sounding improvement and applications to severe storm nowcasting. Geophysical Research Letters, Volume: 35, Issue: 3, 2008, doi:10.1029/2007GL032797. Reprint # 5677.
1428.
Li, Zhenglong; Li, Jun; Schmit, Timothy J.; Wang, Pei; Lim, Agnes; Li, Jinlong; Nagle, Fredrick W.; Bai, Wenguang; Otkin, Jason A.; Atlas, Robert; Hoffman, Ross N.; Boukabara, Sid-Ahmed; Zhu, Tong; Blackwell, William J. and Pagano, Thomas S.. The alternative of CubeSat-based advanced infrared and microwave sounders for high impact weather forecasting. Atmospheric and Oceanic Science Letters, Volume: 12, Issue: 2, 2019, pp.80-90. Reprint # 8336. 
Link to PDF
1429.
Li, Zhenglong; Li, Jun; Schmit, Timothy J.; Zhu, Feng; Wang, Pei; Lim, Agnes; Li, Jinlong; Atlas, Robert and Hoffmann, Ross. Exploring value-added impact from geostationary hyperspectral infrared sounder on hurricane forecasts. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2015, poster presentation. 1p. Link to PDF
1430.
Li, Zhenglong; Li, Jun; Wang, Pei; Lim, Agnes; Li, Jinlong; Schmit, Timothy J.; Atlas, Robert; Boukabara, Sid-Ahmed and Hoffman, Ross N.. Value-added impact of geostationary hyperspectral infrared sounders on local severe storm forecasts--via a quick regional OSSE. Advances in Atmospheric Sciences, Volume: 35, 2018, pp.1217-1230. Reprint # 8305. Link to PDF
1431.
Li, Zhenglong; Li, Jun; Wang, Pei; Lim, Agnes; Schmit, Timothy J.; Atlas, Robert; Casey, Sean; Annane, Bachir and Vukicevic, Tomislava. OSSE on geostationary hyperspectral infrared sounders: Radiance simulation, validation and impacts on hurricane forecast. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2014, poster presentation. 1p. Link to PDF
1432.
Li, Zhenglong; Li, Jun; Wang, Pei; Lim, Agnes; Schmit, Timothy J.; Li, Jinlong; Nagle, Frederick W.; Atlas, Robert; Boukabara, Sid; Pagano, Thomas; Blackwell, William and Pereira, John. Using CIRAS and MicroMAS-2 to mitigate the data gap of CrIS and ATMS. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2017, poster presentation. 1 page. Link to PDF
1433.
Li, Zhenglong; Ma, Zheng; Wang, Pei; Lim, Agnes H. N.; Li, Jun; Jung, James A.; Schmit, Timothy J. and Huang, Hung-Lung. An objective quality control of surface contamination observations for ABI water vapor radiance assimilation. Journal of Geophysical Research-Atmospheres, Volume: 127, Issue: 15, 2022, e2021JD036061. Reprint # 8835. Link to PDF
1434.
Li, Zhenglong; Schmit, Timothy J.; Li, Jun; Gunshor, Mathew M. and Nagle, Frederick W.. Understanding the imaging capability of tundra orbits compared to other orbits. IEEE Transactions on Geoscience and Remote Sensing, Volume: 59, Issue: 11, 2021, pp.8944-8956. Reprint # 8749. Link to PDF
1435. Li, Zhenping; Grotenhuis, Michael; Schmit, Timothy J.; Wu, Xiangqian; Schreiner, Tony; Nelson, Jim; Yu, Fangfang and Bysal, Hyre. GOES imager IR channel to channel co-registration correction program in the GOES ground system. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation.
1436.
Li, Zhenping; Grotenhuis, Michael; Wu, Xiangqian; Schmit, Timothy J.; Schmidt, Chris; Schreiner, Anthony J.; Nelson, James P. III; Yu, Fangfang and Bysal, Hyre. Geostationary Operational Environmental Satellite Imager infrared channel-to-channel co-registration characterization algorithm and its implementation in the ground system. Journal of Applied Remote Sensing, Volume: 8, 2014, doi:10.1117/1.JRS.8.083530. Reprint # 7345. Link to PDF
1437.
Liang, C.K.; West, J.J.; Silva, R.A.; Bian, H.S.; Chin, M.; Davila, Y.; Dentener, F.J.; Emmons, L.; Flemming, J.; Folberth, G.; Henze, D.; Im, U.; Jonson, J.E.; Keating, T.J.; Kucsera, T.; Lenzen, A.; Lin, M.Y.; Lund, M.T.; Pan, X.H.; Park, R.J.; Pierce, R.B.; Sekiya, T.; Sudo, K. and Takemura, T.. HTAP2 multi-model estimates of premature human mortality due to intercontinental transport of air pollution and emission sectors. Atmospheric Chemistry and Physics, Volume: 18, Issue: 14, 2018, pp.10497-10520. Reprint # 8310. Link to PDF
1438. Liang, XingMing; Ignatov, Alexanader; Kihai, Yury; Heidinger, Andrew; Han, Yong and Chen, Yong. Validation of the Community Radiative Transfer Model (CRTM) against AVHRR Clear-Sky Processor for Oceans (ACSPO) nighttime radiances for improved cloud detection and physical SST retrievals. Boston, MA, American Meteorological Society, 2008, Paper P1.13. Reprint # 5648.
1439. Lin, Haidao; Weygandt, Steve; Hu, Ming; Benjamin, Stan; Alexander, Curtis; Hofmann, Patrick; Schmit, Tim; Li, Jinlong and Li, Jun. Assimilation of AIRS radiances and SFOV retrieval profiles in the Rapid Refresh model system. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2013, poster presentation.
1440. Lin, Ying; Rogers, Eric; DiMego, Georffrey J.; Mitchell, Kenneth E. and Aune, Robert M.. Assimilation of GOES-8 moisture data into MNC's Eta model. Boston, MA, American Meteorological Society, 1996, pp.518-520. Reprint # 2401.
1441. Lindsey, Dan and Heidinger, Andy. GOES-R risk reduction status. National Oceanic and Atmospheric Administration (NOAA), 2016, PowerPoint presentation.
1442. Lindsey, Dan and Heidinger, Andy. GOES-R risk reduction status. US Department of Commerce, National Oceanic And Atmospheric Administration (NOAA), 2015, PowerPoint presentation.
1443. 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.
1444. 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.
1445. 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.
1446. 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.
1447. 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.
1448. 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.
1449. 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.
1450. 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.