Primary Convener: Daniel Lindsey, NOAA/NESDIS/GOES-R, Fort Collins, CO, United States
Conveners: Joel McCorkel, NASA Goddard Space Flight Center, Greenbelt, United States, Satya Kalluri, NOAA College Park, College Park, MD, United States and Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States
Primary Liaison: Daniel Lindsey, NOAA/NESDIS/GOES-R, Fort Collins, CO, United States
Chairs: Satya Kalluri, NOAA College Park, College Park, MD, United States and Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States
OSPA Liaison: Satya Kalluri, NOAA College Park, College Park, MD, United States
GOES16-Based Estimation of Hourly PM2.5 Levels during the Camp Fire Episode in California (670421)
Bryan N. Vu1, Jianzhao Bi1, Amy K Huff2, Shobha Kondragunta3 and Yang Liu4, (1)Emory University, Atlanta, GA, United States, (2)Pennsylvania State Univ, University Park, PA, United States, (3)NOAA College Park, College Park, MD, United States, (4)Emory University, Gangarosa Department of Environmental Health, Atlanta, GA, United States
Uncertainty Analysis of the GeoNEX Top-of-Atmospheric Reflectance Products Generated from the Third-Generation Geostationary Satellite Sensors (673833)
Weile Wang1, Hirofumi Hashimoto1, Andrew Michaelis2, Taejin Park3, Ramakrishna R Nemani1, Yujie Wang4, Alexei Lyapustin5 and Satya Kalluri6, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)NASA Ames Research Center/University Corporation MB, Moffett Field, CA, United States, (3)Boston University, Earth and Environment, Boston, United States, (4)University of Maryland Baltimore County, Baltimore, MD, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)NOAA College Park, College Park, MD, United States
Fusion of Time Series of Geostationary Satellite and VIIRS Observations for Detecting Land Surface Phenology (674576)
Xiaoyang Zhang, Geographic Information Science Center of Excellence, Brookings, SD, United States, Yu Shen, South Dakota State University, Geospatial Sciences Center of Excellence, Brookings, SD, United States, Yongchang Ye, Geospatial Sciences Center of Excellence, Department of Geography, South Dakota State University, Brookings, SD, United States, Jianmin Wang, South Dakota State University, Brookings, SD, United States and Weile Wang, CSUMB & NASA/AMES, Seaside, CA, United States
Enhancing Evapotranspiration Data Product from GOES-16/17 Advance Baseline Imagers for NOAA NWP, NWM and Drought Monitoring Operations (677168)
Li Fang, NOAA, College Park, MD, United States, Mitchell Schull, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, Xiwu Zhan, NOAA/NESDIS/STAR, College Park, MD, United States, Satya Kalluri, NOAA College Park, College Park, MD, United States, Christopher Hain, NASA Marshall Space Flight Center, Huntsville, AL, United States, Martha Anderson, USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States and Istvan Laszlo, Univ Maryland, College Park, MD, United States
Exploiting ABI/GOES multiband observations for ice cloud property retrievals (697558)
Masanori Saito, Texas A&M University College Station, College Station, TX, United States, Ping Yang, Texas A&M Univ, College Station, TX, United States and Xianglei Huang, University of Michigan Ann Arbor, Department of Climate and Space Sciences and Engineering, Ann Arbor, MI, United States
Retrieval of Alaskan Wildfire Aerosol Properties from GOES-17 (703972)
Tyler Summers, University of Alaska Fairbanks, Fairbanks, AK, United States, Mariel Friberg, Georgia Institute of Technology Main Campus, School of Civil and Environmental Engineering, Atlanta, GA, United States, James Limbacher, Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States and Dong Liang Wu, NASA/Goddard Space Flight Cent, Greenbelt, MD, United States
Detection of Low Cloud in Multilayer Scenes with the GOES ABI (707766)
John M Haynes1, Yoo-Jeong NOH1, Steven D Miller2 and Andrew Heidinger3, (1)Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United States, (2)Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (3)NOAA National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States
Detecting short term drought impact in the Southwest US using GOES-16 ABI data. (712251)
Hirofumi Hashimoto1, Weilie Wang2, Jennifer L Dungan3 and Ramakrishna R Nemani3, (1)California State University Monterey Bay, Seaside, CA, United States, (2)CSUMB & NASA/AMES, Seaside, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States
An Assessment of Surface Reflectance Obtained from Dark Target Algorithm Applied to Geostationary Satellite Measurements. (715687)
Mijin Kim1,2, Robert C Levy1 and Lorraine Remer3, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association (USRA), Columbia, MD, United States, (3)Joint Center for Earth Systems Technology, University of Maryland, Baltimore, MD, United States
Lake-Effect Snow Quantitative Precipitation Estimation Nowcasting through Blended GOES, NEXRAD, and PIP Observations (745404)
Claire Pettersen1, Mark Kulie2, Marian Mateling3, Timothy J. Wagner1 and Andrew Heidinger4, (1)University of Wisconsin Madison, Space Science and Engineering Center, Madison, WI, United States, (2)Michigan Technological University, Houghton, MI, United States, (3)University of Wisconsin Madison, Madison, WI, United States, (4)Center for Satellite Applications and Research (STAR), NESDIS, Madison, WI, United States
ABI Imagery Anomalies Explained (748727)
Mathew M Gunshor, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States, Tim Schmit, NOAA/NESDIS ASPB, Madison, United States and David Pogorzala, NOAA National Environmental Satellite, Data, and Information Service, GOES-R, Greenbelt, MD, United States
Demonstrations of New Dense Optical Flow Applications for Geostationary Satellite Imagery (758521)
Jason Apke1, Steven D Miller2, Matthew A Rogers3, Kyle Hilburn4, Imme Ebert-Uphoff3 and Eric Olson3, (1)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (2)Colorado State Univ-CIRA, Fort Collins, CO, United States, (3)Colorado State University, Fort Collins, CO, United States, (4)Cooperative Institute for Research in the Atmosphere/Colorado State University, Fort Collins, CO, United States
NOAA/NESDIS’ Ongoing Efforts to Define the Next Generation Architecture of Satellites and Instruments (761331)
NOAA Osaap1, Frank W. Gallagher III1, Vanessa L. Griffin1, Xiaokun Li1, Kate Suzanne Becker1, David D. Spencer1 and Stephen R Marley2, (1)NOAA National Environmental Satellite, Data, and Information Service, OSAAP, Silver Spring, MD, United States, (2)The Aerospace Corporation, Systems Architecture and Engineering, Silver Spring, MD, United States
Development of NASA VIIRS-Like Cloud Property Algorithms for Next Generation Geostationary Imagers (768585)
Robert Holz1, Kerry Meyer2, Steven E Platnick2, Andrew Heidinger3, Nandana Amarasinghe4, Galina Wind4, Richard Frey5, Steven A Ackerman6 and Steve Dutcher7, (1)UW SSEC, Madison, WI, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Center for Satellite Applications and Research (STAR), NESDIS, Madison, WI, United States, (4)Science Systems and Applications, Inc., Lanham, MD, United States, (5)CIMSS/UW-Madison, Evansville, WI, United States, (6)University of Wisconsin Madison, Department of Atmospheric and Oceanic Sciences, Madison, WI, United States, (7)Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States
Contrasting diurnal and seasonal Advanced Himawari Imager vegetation index patterns with land cover type in Australia (769980)
Ngoc Tran1,2, Alfredo R Huete2, Natalia Restrepo-Coupe3, Song Leng2, Qiaoyun Xie2, Yelu Zeng4 and Tomoaki Miura5, (1)Hanoi University of Science and Technology, School of Information and Communication Technology, Hanoi, Vietnam, (2)University of Technology Sydney, Faculty of Science, Ultimo, NSW, Australia, (3)University of Arizona, Department of Ecology & Evolutionary Biology, Tucson, AZ, United States, (4)Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States, (5)Univ Hawaii, Honolulu, HI, United States
A Deep Learning Approach for Surface PM2.5 Estimations from Geostationary Satellite and Numerical Model Data (776570)
Manisha Khatri1, Muthukumaran Ramasubramanian1, Iksha Gurung1, Aaron S Kaulfus1, George Priftis2, Peiyang Cheng3, Pawan Gupta4, Manil Maskey1, Rahul Ramachandran5, Sundar A Christopher6 and Haeyong Chung1, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)University of Alabama in Huntsville, Atmospheric Science, Huntsville, AL, United States, (3)University of Alabama in Hunstville, Huntsville, United States, (4)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (5)NASA Marshall Space Flight Center, Huntsville, AL, United States, (6)University of Alabama in Huntsville, Atmospheric and Earth Science, Huntsville, AL, United States
