IS14F:
Operational Satellite Oceanography II Posters

Session ID#: 84958

Session Description:
The capability to remotely estimate various ocean properties from satellites is continuously increasing in maturity and scope.  Sea surface temperature, sea surface height, ocean vector winds and chlorophyll concentration are now available on a routine and sustainable basis. These products are becoming integral to operational applications for routine and event-driven environmental assessments, predictions, forecasts and management, and represent a huge potential for contributing to societal needs and the “blue economy”. We invite presentations of studies that have used satellite-derived estimates of oceanic, coastal and inland water properties in an operational application, be it for public or commercial use. We specifically encourage presentations that highlight the methods employed, lessons learned in overcoming the challenges encountered, and socio-economic implications of the work.
Co-Sponsor(s):
  • OB - Ocean Biology and Biogeochemistry
  • PL - Physical Oceanography: Mesoscale and Larger
  • SI - Social-Ocean Science Interactions and SDGs
Index Terms:
Primary Chair:  Christopher Brown, NOAA, NESDIS, College Park, MD, United States
Co-chairs:  Paul M DiGiacomo, NOAA, NESDIS, College Park, MD, United States, Veronica P Lance, NOAA/NESDIS/STAR, NOAA CoastWatch, College Park, MD, United States and François Montagner, EUMETSAT, Remote Sensing and Products Division, Darmstadt, Germany
Primary Liaison:  Christopher Brown, NOAA, NESDIS, College Park, MD, United States
Moderators:  Christopher Brown, NOAA, Center for Satellite Applications and Research, College Park, MD, United States and Veronica P Lance, NOAA/NESDIS/STAR, NOAA CoastWatch, College Park, MD, United States
Student Paper Review Liaison:  Christopher Brown, NOAA, Center for Satellite Applications and Research, College Park, MD, United States

Abstracts Submitted to this Session:

 
Assessing Cyanobacteria Blooms from Space (651600)
Sachidananda Mishra1,2, Richard P Stumpf2, Andrew Meredith1,2, Blake A Schaeffer3, Jeremy Werdell4, Keith A Loftin5, Erin Urquhart6 and Bridget Seegers7,8, (1)CSS Inc., Fairfax, VA, United States, (2)National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, Silver Spring, MD, United States, (3)Environmental Protection Agency, NERL Exposure Methods and Measurement Division, Research Triangle Park, NC, United States, (4)NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, MD, United States, (5)USGS Kansas Water Science Center, Lawrence, KS, United States, (6)Oak Ridge Institute of Science and Education, Durham, United States, (7)NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, United States, (8)Universities Space Research Association (USRA), Columbia, CA, United States
 
Development of Red Tide Detection Algorithm using GOCI Image based on Random Forest (648915)
Youngjun Kim1, Wonkook Kim2, Jungho Im1, SeongMun SIM1 and Eunna Jang1, (1)Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, South Korea, (2)(Currently) Pusan National University, Department of Civil and Environmental Engineering, Busan, South Korea
 
Enhancements for NOAA’s operational upper Ocean Heat Content product suite (636560)
Deirdre Byrne, NOAA Center for Satellite Applications and Research, Laboratory for Satellite Altimetry, College Park, MD, United States, Eileen Maturi, NOAA/NESDIS, STAR, Camp Springs, MD, United States, Eric W Leuliette, NOAA College Park, College Park, MD, United States, Lynn K Shay, RSMAS/University of Miami, Department of Ocean Sciences, Miami, FL, United States and Jessica Maureen Burns, University of South Carolina Columbia, Columbia, SC, United States
 
Evaluating Atmospheric Correction Algorithms for Sentinel 3 OLCI in Chesapeake Bay (641443)
Anna Windle, University of Maryland Center for Environmental Science Horn Point Laboratory, Cambridge, MD, United States and Greg Silsbe, University of Maryland Center for Environmental Science Horn Point Laboratory, Cambridge, United States
 
Evaluation of Satellite-Derived Sea Surface Temperature (SST) Using Ocean Glider Data in the Agulhas Current System (651296)
Jing Sun1, Marjolaine Krug2 and Sebastiaan Swart1, (1)University of Gothenburg, Department of Marine Sciences, Gothenburg, Sweden, (2)Council for Scientific and Industrial Research, Johannesburg, South Africa
 
Expanding the Paradigm for Operational Satellite Oceanography and Its Programmatic Implications (647858)
Christopher Brown, NOAA College Park, College Park, MD, United States, Paul M DiGiacomo, NOAA, NESDIS, College Park, MD, United States, Bojan R Bojkov, European Space Research Institute, Frascati, Italy, François Montagner, EUMETSAT, Remote Sensing and Products Division, Darmstadt, Germany and Cara Wilson, NOAA, Monterey, CA, United States
 
Global Ocean Heat Content Estimates from Swarm Satellite Magnetometer Observations (650501)
Jan Saynisch Wagner1, Christopher Irrgang2 and Maik Thomas1,3, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (2)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Geodesy and Remote Sensing, Potsdam, Germany, (3)Freie Universität Berlin, Berlin, Germany
 
Impact of channel selection on sea surface temperature retrievals from passive microwave observations (656242)
Pia Englyst1,2, Jacob Hoyer1, Emy Alerskans3 and Leif Toudal Pedersen2, (1)Danish Meteorological Institute, København Ø, Denmark, (2)DTU Space, Lyngby, Denmark, (3)University of Copenhagen, NBI, København Ø, Denmark
 
Inter-satellite calibration for decadal observations and operational forecasting of cyanobacterial blooms (637772)
Timothy Wynne1, Richard P Stumpf2, Sachidananda Mishra3 and Andrew Meredith3, (1)National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, Silver Spring, MD, United States, (2)NOAA National Centers for Coastal Ocean Science, Silver Spring, MD, United States, (3)CSS Inc., Fairfax, VA, United States
 
New CNES CLS 2019 Mean Sea Surface: First Validation (650523)
Marie-Isabelle Pujol1, Philippe Schaeffer1, Yannice Faugere2, Gérald Dibarboure3 and Nicolas Picot3, (1)Collecte Localisation Satellites, Ramonville Saint-Agne, France, (2)CLS Collecte Localisation Satellites, Ramonville Saint-Agne, France, (3)CNES French National Center for Space Studies, Toulouse Cedex 09, France
 
OCEAN APPLICATIONS FROM ALTIMETRY SATELLITES (658107)
Margaret M Srinivasan, Jet Propulsion Laboratory, Pasadena, CA, United States, Gary N Geller, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Adeline Gicquel, NASA Jet Propulsion Laboratory, Applied Science System Engineering, Pasadena, United States
 
OceanWatch – Tools and products for ocean remote sensing in the Pacific Islands Region (650714)
Melanie Abecassis, University of Maryland College Park, Cooperative Institute for Satellite Earth System Studies, College Park, MD, United States and Evan A Howell, NOAA Pacific Islands Fisheries Science Center, Honolulu, United States
 
Open source software for ocean phenology indices (656564)
Nicholas Record, Bigelow Laboratory for Ocean Sciences, East Boothbay, United States, Edward M Armstrong, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Yibo Jiang, JPL, Pasadena, CA, United States
 
Optimal Estimation Approach to Sea Surface Temperature Retrieval from Satellite IR Radiometers and its Dependence on the a Priori (643043)
Goshka Szczodrak, University of Miami, RSMAS, Department of Ocean Sciences, Miami, FL, United States and Peter J Minnett, University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science, Department of Ocean Sciences, Miami, United States
 
Refinement of Phytoplankton Functional Type Algorithms for VIIRS Ocean Color Data on the Northeast U.S. Continental Shelf (646581)
Kyle J Turner1, Kimberly Hyde2, Colleen B Mouw1, Ryan Morse3 and Audrey Ciochetto1, (1)University of Rhode Island, Narragansett, RI, United States, (2)NOAA Northeast Fisheries Science Center, Narragansett, RI, United States, (3)Integrated Statistics Inc., NOAA Northeast Fisheries Science Center, Narragansett, RI, United States
 
Satellite Infrared Retrievals of Sea-surface Temperature at High Latitudes (644939)
Chong Jia, Univeristy of Miami / RSMAS, Department of Meteorology and Physical Oceanography, Miami, United States and Peter J Minnett, University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science, Department of Ocean Sciences, Miami, United States
 
SeaPRISM observations of three freshwater lakes: impacts of cyanobacteria and atmospheric correction on remote sensing (656501)
Tim Moore, Florida Atlantic University, Harbor Branch Oceanographic Institute, Ft. Pierce, United States, Hui Feng, University of New Hampshire, Durham, NH, United States, Steven A Ruberg, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, Steven Greb, University of Wisconsin-Madison, Madison, United States, Nima Pahlevan, Rochester Institute of Technol, Rochester, United States, Sarah Bartlett, University of Wisconsin Milwaukee, Milwaukee, WI, United States, Menghua Wang, NOAA/NESDIS/STAR, College Park, MD, United States, Malcolm McFarland, Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, FL, United States and Kyle Beadle, NOAA Ann Arbor, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
 
The airborne LUnar Spectral Irradiance (air-LUSI) mission and calibration of ocean observations from space (649893)
Kevin Ross Turpie1, Steve Brown2, John T Woodward3, Andrew Gadsden4, Thomas C Stone5 and Andrew Newton4, (1)University of Maryland Baltimore County, Joint Center for Earth Systems Technology, Baltimore, MD, United States, (2)National Institute of Standards and Technology Gaithersburg, Sensor Science Division, Gaithersburg, MD, United States, (3)National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States, (4)University of Guelph, Mechanical Engineering, Guelph, ON, Canada, (5)US Geological Survey, Flagstaff, AZ, United States
 
The use of RADARSAT-2 Backscatter Coefficients (σo, βo, γo) to Discriminate Oil Seeps From Oil Spills: A Linear Discriminant Analysis in the Gulf of Mexico (Campeche Bay) (642555)
Gustavo de Araújo Carvalho1, Peter J Minnett2, Eduardo Paes3, Fernando p. de Miranda4 and Luiz Landau1, (1)UFRJ (Federal University of Rio de Janeiro), LabSAR (Laboratory of Radar Remote Sensing Applied to the Petroleum Industry), Rio de Janeiro, Brazil, (2)University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science, Department of Ocean Sciences, Miami, United States, (3)Universidade Federal Rural do Amazônas (UFRA), Laboratório de Ecologia Marinha e Oceanografia Pesqueira da Amazônia (LEMOPA), Belém, PA, Brazil, (4)PETROBRAS, CENPES, Rio De Janeiro, Brazil