DO003
Advancing Multi-Decadal Global Ocean and Climate Datasets and their Uncertainties

Session ID#: 254177

Session Description:
Multi-decadal historical global ocean and climate datasets are essential for a wide range of applications, including: climate monitoring; evaluation of Earth system models; forecast system initialization and development; detection and attribution studies; global and regional budget assessments; and constraints on climate projections. While there is a broad range of essential ocean and climate variables, many of the data processing steps share common features, such as: (i) data quality control; (ii) identification and correction of inter-platform/sensor biases; (iii) the need for spatiotemporal infilling/interpolation; (iv) development of robust uncertainty estimates. Moreover, there is a need for diversity in global datasets to provide an ensemble of estimates using different approaches and help quantify the structural uncertainty associated with derived metrics and products. This session invites abstracts that discuss any element of multi-decadal historical global ocean and climate dataset construction, including novel methods and intercomparison efforts that explore structural uncertainties and/or ensemble approaches. We particularly welcome submissions that relate to one or more of the Global Climate Observing System essential climate variables (e.g., surface temperature/salinity/currents/stress, sea ice, sea level, subsurface temperature/salinity/currents) including both in situ and remote sensing observations.


This session invites abstracts that discuss any element of multi-decadal historical global ocean and climate dataset construction, including new methods and intercomparison efforts that explore structural uncertainties and/or ensemble approaches. We also invite abstracts that focus on the use of global ocean and climate datasets in research applications, including any of the topic areas listed above. We particularly welcome submissions that relate to one or more of the Global Climate Observing System essential climate variables.

Co-Sponsor(s):
  • Air-Sea Interactions -
  • Climate and Ocean Change -
  • Physical Oceanography: Mesoscale and Larger -
Index Terms:

1616 Climate variability [GLOBAL CHANGE]
1635 Oceans [GLOBAL CHANGE]
1637 Regional climate change [GLOBAL CHANGE]
1641 Sea level change [GLOBAL CHANGE]
Primary Chair:  Matthew D Palmer, Met Office Hadley Centre, Exeter, United Kingdom; University of Bristol, School of Earth Sciences, Bristol, United Kingdom
Co-chairs:  Aimee Slangen, NIOZ, Yerseke, Netherlands, Richard Cornes, National Oceanography Centre, Southampton, United Kingdom and Donata Giglio, CU Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States
 
An intercomparison of the global ocean gridded dissolved oxygen data products for climatology and annual cycle (2006409)
Juan Du, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, CHINA, Lijing Cheng, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, Takamitsu Ito, Georgia Institute of Technology, School of Earth & Atmospheric Sciences, Atlanta, United States, Hernan Garcia, NOAA/NESDIS/NCEI, Silver Spring, United States, Jonathan David Sharp, University of Washington, Cooperative Institute for Climate, Ocean, and Ecosystem Studies, Seattle, United States, Christopher J Roach, University of Tasmania, Hobart, Australia, Shoshiro Minobe, Hokkaido University, Sapporo, Japan, Siv K Lauvset, NORCE Research, Climate and Environment, Bjerknes Centre for Climate Research, Bergen, Norway, Yuntao Zhou, Shanghai Jiao Tong University, School of Oceanography, Shanghai, China, Gian Giacomo Navarra, Georgia Institute of Technology Main Campus, Atlanta, United States and Seth M Bushinsky, University of Hawaii at Manoa, Department of Oceanography, Honolulu, United States
 
Evolution of Global Sea-level Rise Projections and Their Uncertainty (2006746)
Andra Jenn Garner1, Amy Appollina2, Jessica Slotter2, Gregory Garner3, Aimee Slangen4, Robert E Kopp5 and Benjamin Peter Horton6, (1)Rowan University, Department of Environmental Science, Glassboro, NJ, United States, (2)Rowan University, Glassboro, NJ, United States, (3)Independent Researcher, Pitman, United States, (4)NIOZ, Yerseke, Netherlands, (5)Rutgers University New Brunswick, Department of Earth and Planetary Sciences, New Brunswick, NJ, United States, (6)City University of Hong Kong, Hong Kong, Hong Kong
 
A large-ensemble observational ocean temperature/heat content product and its applications (2008987)
Lijing Cheng, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
 
Recent Updates to the Hadley Centre Sea-Surface Temperature (HadSST4) Dataset (2010964)
Caroline Sandford and Nick A Rayner, Met Office Hadley Centre, Exeter, United Kingdom
 
EasyOneArgo Data Products – Delivering Argo Ocean Data in a Simple Way (2016080)
Annie P S Wong1, Jean-Philippe Rannou2, Thierry Carval3 and Laure Fontaine2, (1)Scripps Institution of Oceanography, La Jolla, CA, United States, (2)Capgemini, Plouzane, France, (3)IFREMER, Plouzané, France
 
DCENT-I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset (2017055)
Duo Chan1, Steven Chan2, Joseph T Siddons2, Richard Cornes3, Archie Cable2, Elizabeth C Kent2, Geoffrey Gebbie4 and Peter J Huybers5, (1)University of Southampton, School of Ocean and Earth Science, Southampton, United Kingdom, (2)National Oceanography Centre, Southampton, United Kingdom, (3)National Oceanography Centre, Southampton, UNITED KINGDOM, (4)Woods Hole Oceanographic Institution, Woods Hole, United States, (5)Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
 
EasyXBT: Unlocking the value of multi-decadal ocean temperature datasets (2017707)
Rebecca Cowley1, Christoph Waldmann2, Gael Forget3, Antonino Ian Ferola4, Justine Parks5, Lisa Krummel6, Jared Brzenski7, Ludovic Drouineau8, Christopher Paver9, Zhetao Tan10, Shenfu Dong11, Ashley Parker12, Aidan McMahon6, Naomi Krauzig13, Janet Sprintall14, Yuri Cotroneo15, Marlos P Goes16, Simona Simoncelli17, Mauro Cirano18, Rebecca Hudak19 and Thierry Carval8, (1)CSIRO Environment, Hobart, TAS, Australia, (2)University of Bremen, Bremen, Germany, (3)Massachusetts Institute of Technology, EAPS, Cambridge, United States, (4)European Space Agency, Frascati, Italy, (5)Scripps Institution of Oceanography, La Jolla, United States, (6)Bureau of Meteorology, Melbourne, Australia, (7)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (8)IFREMER, Plouzané, France, (9)National Centers for Environmental Information (formerly NODC), NESDIS/NOAA, Silver Spring, MD, United States, (10)Laboratoire de Météorologie Dynamique – IPSL, Paris, France, (11)AOML/NOAA, Miami, United States, (12)CSIRO Environment, Hobart, Australia, (13)Marche Polytechnic University, Ancona, Italy, (14)Univ California San Diego, La Jolla, United States, (15)Parthenope University, Naples, Italy, (16)Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, United States, (17)INGV, Bologna, Italy, (18)UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil, (19)Woods Hole Oceanographic Institution, Woods Hole, MA, United States
 
Towards Improved Sea Level and Surface Current Datasets: Innovations and Intercomparisons within the DUACS Framework (2018237)
Maxime Ballarotta1, Cecile Anadon1, Quentin Dagneau2, Delepoulle Antoine3, Gérald Dibarboure4, Ronan Fablet5, Stéphanie Dupuy6, Alice Laloue7, Florian Le Guillou8, Marie Jenn-Alet9, Sammy Metref10, Marie-Isabelle Pujol11, Anaelle Treboutte1, Clément Ubelmann10 and DUACS Team, (1)CLS Collecte Localisation Satellites, Ramonville Saint Agne, France, (2)CLS/CELAD, Toulouse, France, (3)CLS Collecte Localisation Satellite, Toulouse, France, (4)CNES French National Center for Space Studies, Toulouse, France, (5)IMT Atlantique, CNRS UMR Lab-STICC, Brest, France, (6)CLS, Toulouse, France, (7)CLS Collecte Localisation Satellites, Toulouse, France, (8)European Space Research Institute, Frascati, Italy, (9)CLS/ALTEN, Toulouse, France, (10)Datlas, Grenoble, France, (11)CLS Collecte Localisation Satellite, Ramonville Saint Agne, France
 
Internal Variability and Externally-Forced Sea Level Trends Based on Climate Models at Tide Gauge Locations in the North Atlantic Ocean over 1900—2014 (2018249)
Blandine Jacob1, William Llovel1, Lucia Pineau-Guillou2 and Virginie Thierry1, (1)Laboratoire d'Océanographie Physique et Spatiale, Univ Brest/CNRS/Ifremer/IRD, Plouzané, France, (2)CREOCEAN, Brest, France
 
Reconstruction of Salinity Fields in the Baltic Sea using Machine Learning (2018295)
Wiebke Körtke1,2, Claudia Hinrichs2 and Tim Kruschke2, (1)University of Bremen, Institute of Environmental Physics, Bremen, Germany, (2)BSH Federal Maritime and Hydrographic Agency, Hamburg, Germany
 
VarDyn: A Dynamical Framework for High-Resolution Climate Records of Sea Surface Height and Temperature (2019292)
Florian Le Guillou, Datlas, Grenoble, France, Bertrand Chapron, IFREMER, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale, Brest, France and Marie-Helene Rio, European Space Research Institute, Frascati, Italy
 
CrocoLake: An analysis-ready and cloud-optimized database of heterogeneous in-situ ocean observations (2021424)
Enrico Milanese, Woods Hole Oceanographic Institution, Woods Hole, United States, Daniel E Amrhein, NSF National Center for Atmospheric Research, Boulder, United States, David P Nicholson, Woods Hole Oceanographic Institution, Marine Chemistry and Geochemistry, Woods Hole, MA, United States and Dr. Susan Anne Wijffels, PhD, Woods Hole Oceanographic Institution, Woods Hole, MA, United States
 
Machine Learning-Based Analysis and Reconstruction of Sea Surface Temperatures in the North and Baltic Seas (2024290)
Claudia Hinrichs1, Johannes Meuer2, Christopher Kadow2 and Tim Kruschke1, (1)BSH Federal Maritime and Hydrographic Agency, Hamburg, Germany, (2)DKRZ German Climate Computing Centre, Hamburg, Germany
 
Multi-decadal Variability in Ocean Surface Wind Differences between Scatterometer Observations and Reanalysis Model Fields (2025603)
Rianne Giesen and Ad Stoffelen, Royal Netherlands Meteorological Institute, De Bilt, Netherlands
 
GloMarGridding: A Flexible Framework for Assessing Structural Uncertainty in Gridded Ocean Temperature Datasets (2025972)
Richard Cornes1, Steven Chan2, Archie Cable2, Duo Chan3, Agnieszka Faulkner2, Elizabeth C Kent2 and Joseph T Siddons2, (1)National Oceanography Centre, Southampton, UNITED KINGDOM, (2)National Oceanography Centre, Southampton, United Kingdom, (3)University of Southampton, School of Ocean and Earth Science, Southampton, United Kingdom
 
Structural Uncertainty versus Bias in Ocean Reanalysis Estimates of Ocean Heat Content and Thermosteric Sea-Level Rise (2027212)
Jan-Erik Tesdal, Princeton University, Atmospheric & Oceanic Sciences, Princeton, NJ, United States, John P Krasting, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, Stephen Griffies, Princeton University, Princeton, United States, Andrea Cipollone, CMCC Foundation - Euro-Mediterranean Center on Climate Change, Bologna, Italy and Feiyu Lu, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, United States
 
A Comprehensive Global Ocean Radiocarbon Dataset (1700–2023) for Climate Applications (2028018)
Nabir Mamnun, Imperial College London, London, United Kingdom, Branwen Williams, Claremont McKenna College, Kravis Department of Integrated Sciences, Claremont, United States, R.Reshmi Mukherjee, Claremont McKenna College, Claremont, United States, Roberta Hansman, Woods Hole Oceanographic Institution, Geology and Geophysics, Woods Hole, United States, Rolf E Sonnerup, University of Washington, Joint Institute for the Study of the Atmosphere and Ocean, Seattle, WA, United States, Francois Primeau, University of California Irvine, Earth System Science, Irvine, CA, United States, Nikita Tournebise, University of California Santa Barbara, Santa Barbara, CA, United States, Timothy J DeVries, University of California Santa Barbara, Earth Research Institute, Santa Barbara, United States and Heather D Graven, Imperial College London, Physics, London, SW7, United Kingdom
 
Transitioning Model Mapping Uncertainty to an Observational Estimate (2029030)
Dr. John M Lyman, JIMAR/PMEL, Seattle, WA, United States
 
Multi-decadal time series from moored observations (2030422)
Albert J Plueddemann1, Robert A Weller2, Sebastien P Bigorre3, James T Potemra4, Roger Lukas5, Adrienne J Sutton6 and Yu Gao3, (1)Woods Hole Oceanographic Institution, Woods Hole, United States, (2)WHOI, Monument Beach, MA, United States, (3)WHOI, Woods Hole, United States, (4)Univ Hawaii, Honolulu, United States, (5)Univ Hawaii, Honolulu, HI, United States, (6)NOAA Pacific Marine Environmental Laboratory, Seattle, United States
 
The Argo data in ocean climatologies: a comparative analysis. (2031049)
Mr. Alberto González-Santana, Centro Oceanográfico de Canarias, Instituto Español de Oceanografía, Consejo Superior de Investigaciones Científicas, Oceanography and Global Change, Santa Cruz de Tenerife, Spain, Pedro Vélez-Belchí, Centro Oceanográfico de Canarias, Instituto Español de Oceanografía, Consejo Superior de Investigaciones Científicas, Santa Cruz de Tenerife, Spain and Ángela Mosquera Giménez, Centro Oceanográfico de Canarias, Instituto Español de Oceanografía, Consejo Superior de Investigaciones Científicas, Oceanograohy and Global Change, Santa Cruz de Tenerife, Spain
 
Multi-Mission Sea Surface Salinity Optimum Interpolation (OISSS) Analysis for Ocean Research and Applications (2031595)
Oleg Melnichenko1, Peter W Hacker2, Thomas Meissner3, Frank J Wentz3, Julian J Schanze1 and Ms. Jessica E Anderson, PhD1, (1)Earth and Space Research, Seattle, WA, United States, (2)HIGP, University of Hawaii at Manoa, Honolulu, HI, United States, (3)Remote Sensing Systems, Santa Rosa, CA, United States
 
MLAWind: A Monthly Sea Surface Wind Dataset Derived from an Interpretable Machine Learning Approach Integrating In-Situ Observations and Satellite Data (2034571)
Rongwang Zhang, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
 
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Elizabeth C Kent, National Oceanography Centre, Southampton, United Kingdom, Duo Chan, University of Southampton, School of Ocean and Earth Science, Southampton, United Kingdom, Nathan J L Lenssen, Colorado School of Mines, Applied Mathematics and Statistics, Golden, CO, United States and Clara Deser, National Center for Atmospheric Research, Climate and Global Dynamics Division, Boulder, United States
 
Interannual Variability of Upper Ocean Temperature in the Tropical Atlantic: An Ocean Reanalysis Intercomparison (2036506)
Arthur Prigent, Earth System Physics, The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy, Ingo Richter, JAMSTEC, Application Laboratory, Yokohama, Japan, Dr. Andrea Storto, PhD, CNR Institute for Marine Science, Rome, Italy, Riccardo Farneti, The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy, Mr. Rodrigue Anicet Imbol Koungue, GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany, Yuko Okumura, University of Texas at Austin, Institute for Geophysics, Austin, United States and Ping Chang, Texas A&M University, Department of Oceanography, College Station, United States
 
Characterization of Mesoscale Energy Cascades from Sea Level Maps Derived from Multi-Sensor Data (2036652)
Alice Laloue, LEGOS, University of Toulouse, CNES, Toulouse, France, Lionel Renault, LEGOS, University of Toulouse, IRD, CNRS, CNES, UPS, Toulouse, France, Ronan Fablet, IMT Atlantique, CNRS UMR Lab-STICC, Brest, France and Marie-Isabelle Pujol, CLS Collecte Localisation Satellite, Ramonville Saint Agne, France
 
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Robin Fraudeau1, Fourest Sebastien2, Benoit Meyssignac3, Mickael Ablain4, Elisabeth Armaut5, Zacharie Barrou-Dumont5, Alejandro Blazquez6, Thomas Duvignacq7, Ramiro Ferrari5 and Valentin Oncle8, (1)Magellium, Earth Observation, Ramonville St Agne, France, (2)Centre National d'Études Spatiales, Toulouse, France, (3)Université de Toulouse, Toulouse, France, (4)Magellium, Earth Observation, Ramonville-Saint-Agne, France, (5)Magellium, Toulouse, France, (6)LEGOS-CNES, Université de Toulouse, CNRS, UPS, IRD, Toulouse, France, (7)CNRS, Toulouse, France, (8)CNES, Toulouse, France
 
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Donata Giglio1, Matthew D Palmer2, Didier Monselesan3, Catia M Domingues4, Anrijs Abele5, Rémy Asselot6, Tim Boyer7, Lijing Cheng8, Gael Forget9, Fourest Sebastien10, Marlos P Goes11, Maria Zita Hakuba12, Leon Hermanson13, Gregory C Johnson14, Rachel Elizabeth Killick15, Nicolas Kolodziejczyk16, Mikael Kuusela17, William Llovel18, Dr. John M Lyman19, Benoit Meyssignac20, Katie Mills1, Doug M Smith15, Thea Sukianto21, Charles Troupin22 and Zhankun Wang23, (1)University of Colorado Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States, (2)University of Bristol, United Kingdom, (3)CSIRO, Environment, Hobart, TAS, Australia, (4)National Oceanography Centre, Antarctic Climate and Ecosystems Co-operative Research Centre, United Kingdom, (5)University of Bristol, Bristol, United Kingdom, (6)BRGM, 24 avenue Léonard de Vinci, F-33600 Pessac, France, Pessac, France, (7)NOAA NCEI, Washington, United States, (8)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (9)Massachusetts Institute of Technology, EAPS, Cambridge, United States, (10)Centre National d'Études Spatiales, Toulouse, France, (11)Cooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, United States, (12)Jet Propulsion Laboratory, Caltech, Pasadena, United States, (13)Met Office Hadley center for Climate Change, Exeter, United Kingdom, (14)Pacific Marine Environmental Laboratory, Seattle, United States, (15)Met Office Hadley Centre, Exeter, United Kingdom, (16)UBO, CNRS, IRD, Ifremer, Laboratoire d’Oceanographie Physique et Spatiale (LOPS), Plouzane, France, Plouzane, France, (17)Statistical and Applied Mathematical Sciences Institute, Pittsburgh, United States, (18)CNRS, Plouzané, France, (19)JIMAR/PMEL, Seattle, WA, United States, (20)Université de Toulouse, Toulouse, France, (21)Carnegie Mellon University, Department of Statistics and Data Science, Pittsburgh, United States, (22)Université de Liège, AGO-GHER, Liege, Belgium, (23)NOAA/NESDIS/NCEI-MD, Silver Spring, United States
 
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