PP030
Science That Draws on 50 Years of Scientific Ocean Drilling Data
Session ID#: 78277
Session Description:
During 50+ years of scientific ocean drilling, over 1600 sites have been drilled and more than 360 km of core has been retrieved - mostly from the upper 1 km of seafloor sediment, but also from the crust. All data pertaining to these samples, including measurements performed shipboard and postcruise in researchers’ laboratories, are publicly available, representing a rich database containing much of what we know about the seafloor and the rocks beneath it. At the same time, computational and other analysis techniques have evolved to the point where large datasets can be brought to bear on regional- and global-scale problems. This session seeks contributions that focus on new insights gained from synthesizing scientific ocean drilling data from both soft and hard rocks, with an emphasis on syntheses across multiple eras of scientific ocean drilling; and on new methods for analyzing these data, particularly involving high-performance computing and machine learning.
Co-Organized:
Index Terms:
1616 Climate variability [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
3036 Ocean drilling [MARINE GEOLOGY AND GEOPHYSICS]
4928 Global climate models [PALEOCEANOGRAPHY]
Primary Convener: Hugh Daigle, The University of Texas at Austin, Hildebrand Department of Petroleum and Geosystems Engineering, Austin, TX, United States
Conveners: Warren T Wood, Naval Research Laboratory, Stennis Space Ctr, MS, United States, Michael Nole, Sandia National Labs, Albuquerque, NM, United States and Benjamin J Phrampus, US Naval Research Laboratory, Geology and Geophysics, Stennis Space Center, MS, United States
Primary Liaison: Michael Nole, Sandia National Labs, Albuquerque, NM, United States
Predicting global ocean sediment thickness (498661)
Warren T Wood1, Benjamin J Phrampus2, Taylor Runyan Lee2, Jeffrey Obelcz2 and Vishnu Karthik3, (1)US Naval Research Laboratory, Geology and Geophysics, Washington, DC, United States, (2)US Naval Research Laboratory, Geology and Geophysics, Stennis Space Center, MS, United States, (3)US Naval Research Laboratory SEAP student, Geology and Geophysics, Stennis Space Center, MS, United States
Global machine learning predictions of sediment unit thickness for present to middle Miocene using Deep Sea Drilling Project data (498880)
Taylor Runyan Lee1, Warren T Wood2, Adam D Skarke3, Benjamin J Phrampus1 and Jeffrey Obelcz1, (1)US Naval Research Laboratory, Geology and Geophysics, Stennis Space Center, MS, United States, (2)Naval Research Laboratory, Stennis Space Ctr, MS, United States, (3)Mississippi State University, Mississippi State, MS, United States
Extending Ocean Drilling Pursuits [eODP]: Making Scientific Ocean Drilling Data Accessible Through Searchable Databases (516891)
Leah J LeVay, Texas A&M University College Station, International Ocean Discovery Program, College Station, TX, United States, Andrew J Fraass, University of Bristol, School of Earth Sciences, Bristol, BS8, United Kingdom, Jocelyn A Sessa, Academy of Natural Sciences of Drexel University, Drexel University, Department of Biodiversity Earth and Environmental Sciences, Philadelphia, PA, United States and Shanan E Peters, University of Wisconsin Madison, Geoscience, Madison, WI, United States
Making Scientific Ocean Drilling Data Discoverable (543098)
Katerina E Petronotis, Patrick Edwards, Paul Foster, Margaret Hastedt, Jenni Hesse, David Houpt, Leah LeVay, Beth Novak, Amy McWilliams, Vincent P Percuoco, Lorri Peters and Trevor Williams, Texas A&M University, International Ocean Discovery Program, College Station, TX, United States
A Probabilistic Modeling Framework Utilizing Ocean Drilling Data to Forecast Current and Future Thermodynamic Conditions On and Below the Seafloor (550388)
Jennifer Mary Frederick, Sandia National Laboratories, Albuquerque, NM, United States, William Karl Eymold, The Ohio State University, Columbus, OH, United States, Michael Nole, Sandia National Labs, Albuquerque, NM, United States, Benjamin J Phrampus, US Naval Research Laboratory, Geology and Geophysics, Stennis Space Center, MS, United States and Warren T Wood, Naval Research Laboratory, Stennis Space Ctr, MS, United States
Gas Hydrate Systems: A Statistical and Geospatial Approach Using Industry Well Log Data (553696)
Ryan Heber, Ohio State University Main Campus, Columbus, OH, United States, Ann Cook, OSU Earth Sciences, Columbus, OH, United States, Alexey Portnov, Ohio State University, Columbus, OH, United States, Sunil Vadakkepuliyambatta, University of Tromsø, Tromsø, Norway and Stefan Bünz, University of Tromso, Tromso, Norway
Chlorine isotopes to alter our view of pore fluids in the sediments of the oceanic crust, using the archives of ODP-IODP (576566)
Pierre Agrinier1, Magali Bonifacie2, Gerard Bardoux1, Magali Ader1 and Olivier Sissmann3, (1)Institut de Physique du Globe de Paris, Paris, France, (2)Université de Paris, Institut de Physique du Globe de Paris - OVSG, Gourbeyre, Guadeloupe, (3)IFP Énergies nouvelles, Rueil-Malmaison Cedex, France
Multiproxy Reduced-Dimension Reconstruction of Pliocene Atlantic Sea Surface Temperatures (617912)
Jody Wycech1,2, Balaji Rajagopalan3, Thomas M Marchitto Jr4 and Peter H Molnar1,2, (1)CIRES, Boulder, CO, United States, (2)University of Colorado at Boulder, Department of Geological Sciences, Boulder, CO, United States, (3)University of Colorado at Boulder, Department of Civil, Environmental and Architectural Engineering and CIRES, Boulder, CO, United States, (4)University of Colorado Boulder, Department of Geological Sciences and INSTAAR, Boulder, CO, United States
