8001. Wang, Xuanji; Key, J. R.; Serreze, M. C. and Slater, A.. Diurnal cycles in Arctic surface radiative fluxes in a blended satellite-climate reanalysis data set. Boston, MA, American Meteorological Society, 2006, Abstract P2.22.
8002. Wang, Xuanji; Key, Jeff and Liu, Yinghui. ABI ice thickness and Age Algorith, (AITA). Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2011, PowerPoint presentation.
8003. Wang, Xuanji; Key, Jeff and Liu, Yinghui. Derivation of ice thickness and age foruse with GOES-R ABI data. Greenbelt, MD, NASA, Goddard Space Flight Center, GOES-R Program Office, 2010, PowerPoint presentation.
8004. Wang, Xuanji; Key, Jeff and Liu, Yinghui. Derivation of ice thickness and age for use with GOES-R ABI data. Greenbelt, MD, Goddard Space Flight Center, GOES-R Series Program Office, 2010, PowerPoint presentation.
8005.
Wang, Xuanji; Key, Jeffrey R. and Liu, Yinghui. Sea and lake ice thickness and age for use with GOES-R ABI. Madison, WI, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2009, Abstract 41.
Link to Abstract
8006. Wang, Xuanji; Key, Jeffrey R. and Liu, Yinghui. Insight into Arctic and Antarctic climate changes over 1982-2013 from satellite observations. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2014, Abstract 9259-13.
8007. Wang, Xuanji; Key, Jeffrey R. and Liu, Yinghui. A thermodynamic model for estimating sea and lake ice thickness with optical satellite data. Journal of Geophysical Research-Oceans, Volume: 115, 2010, doi:10.1029/2009JC005857. Reprint # 6395.
8008. Wang, Xuanji; Key, Jeffrey R.; Fowler, Chuck and Maslanik, James. Diurnal cycles in Arctic surface radiative fluxes in a blended satellite-climate reanalysis data set. Journal of Applied Remote Sensing, Volume: 1, Issue: 1, 2007, doi:10.1117/1.2794003. Reprint # 5588.
8009.
Wang, Xuanji; Key, Jeffrey; Kwok, Ron and Zhang, Jinlun. Comparison of Arctic sea ice thickness from satellites, aircraft, and PIOMAS data. Remote Sensing, Volume: 8, Issue: 9, 2016, doi:10.3390/rs8090713. Reprint # 7738.
Link to PDF
8010. Wang, Xuanji; Key, Jeffrey; Liu, Yinghui; Fowler, Charles; Maslanik, James and Tschudi, Mark. Arctic climate variability and trends from satellite observations. Advances in Meteorology, Volume: 2012, 2012, doi:10.1155/2012/505613. Reprint # 6990.
8011. Wang, Xuanji; Liu, Y. and Key, J.. Sea and lake ice characteristics from GOES-R ABI. Boston, MA, American Meteorological Society, 2009, Abstract JP2.15.
8012.
Wang, Xuanji; Liu, Yinghui; Key, Jeffrey R. and Dworak, Richard. A new perspective on four decades of changes in Arctic sea ice from satellite observations. Remote Sensing, Volume: 14, Issue: 8, 2022, pp.1846. Reprint # 8801.
Link to PDF
8013. Wang, Xuinji; Key, Jeffrey R. and Pavolonis, Michael J.. Arctic climate characteristics and recent trends revealed by the AVHRR Polar Pathfinder data set. Bellingham, WA, SPIE-International Society for Optical Engineering, 2003, pp.1-9. Reprint # 3525.
8014. Wangzong, Steve and de Smet, Arthur. Report from the Working Group on AMV characteristics (WG-3). Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2006, unpaged. Reprint # 5263.
8015. Wangzong, Steve; Santek, David; Velden, Christopher S.; Daniels, Jaime; Stettner, Dave; Bresky, Wayne C. and Bailey, Andrew. Historical GOES AMV re-processing. Darmstadt, Germany, EUMETSAT, 2014. Reprint # 7661.
8016.
Wanzong, Steve and Velden, Chris. Exploring the behaviour of atmospheric motion vector (AMV) errors through simulation studies. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2010, PowerPoint presentation. 28 slides.
Link to PDF
8017. Wanzong, Steve; Bresky, W.; Velden, C. S.; Daniels, J. M. and Rink, T. D.. GOES-R AWG Atmospheric Motion Vectors: Validation activities. Boston, MA, American Meteorological Society, 2012, Abstract 12B.1.
8018. Wanzong, Steve; Bresky, Wayne C.; Velden, Christopher S.; Daniels, Jaime M. and Bailey, Andrew A.. GOES-R readiness: Atmospheric Motion Vector (AMV) validation activities. Darmstadt, Germany, EUMETSAT, 2012. Reprint # 6825.
8019.
Wanzong, Steve; Bresky, Wayne; Velden, Chris; Daniels, Jaime and Bailey, Andy. GOES-R readiness: Atmospheric Motion Vectors (AMVs) validation activities. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2012, PowerPoint presentation. 24 slides.
Link to PDF
8020.
Wanzong, Steve; Genkova, Iliana; Velden, Chris and Santek, David. AMV research using simulated datasets. Madison WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, 2008, PowerPoint presentation. 38 slides.
Link to Abstract
8021. Wanzong, Steve; Genkova, Iliana; Velden, Christopher S. and Santek, David A.. AMV research using simulated datasets. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2008, unpaged. Reprint # 5839.
8022. Wanzong, Steve; Heidinger, A.; Borde, R.; Watts, P.; Daniels, J. and Bresky, W.. Intercomparison of cloud heights for AMV generation. Boston, MA, American Meteorological Society, 2016, Abstract 50.
8023.
Wanzong, Steve; Heidinger, Andrew; Borde, Regis; Watts, Phil and Bresky, Wayne. Comparison of the Optimal Cloud Analysis product (OCA) and the GOES-R ABI Cloud Height Algorithm (ACHA) cloud top pressures for AMVs. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2016, PowerPoint presentation. 35 slides.
Link to PDF
8024. Wanzong, Steve; Heidinger, Andrew; Botambekov, Denis; Li, Yue and Walther, Andi. Assessment of GOES-16 ABI cloud products during post-launch validation. Darmstadt, Germany, European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2017, Abstract 1.39.
8025.
Wanzong, Steve; Heidinger, Andrew; Daniels, Jaime; Borde, Regis; Watts, Phil and Bresky, Wayne. Comparison of the Optimal Cloud Analysis product (OCA) and the GOES-R ABI Cloud Height Algorithm (ACHA) cloud top pressures for AMVs. Madison, WI, University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite Studies (CIMSS), 2016. Reprint # 8207.
Link to PDF