Merchant Lynne M.

No Thumbnail Available
Last Name
Merchant
First Name
Lynne M.
ORCID

Filters

2017 - 2019 1 2020 - 2024 2
2 1
3
Reset filters

Settings

Search Results

Now showing 1 - 3 of 3
  • Article
    Climate Process Team on internal wave–driven ocean mixing
    (American Meteorological Society, 2017-12-01) MacKinnon, Jennifer A. ; Zhao, Zhongxiang ; Whalen, Caitlin B. ; Waterhouse, Amy F. ; Trossman, David S. ; Sun, Oliver M. ; St. Laurent, Louis C. ; Simmons, Harper L. ; Polzin, Kurt L. ; Pinkel, Robert ; Pickering, Andrew I. ; Norton, Nancy J. ; Nash, Jonathan D. ; Musgrave, Ruth C. ; Merchant, Lynne M. ; Melet, Angelique ; Mater, Benjamin D. ; Legg, Sonya ; Large, William G. ; Kunze, Eric ; Klymak, Jody M. ; Jochum, Markus ; Jayne, Steven R. ; Hallberg, Robert ; Griffies, Stephen M. ; Diggs, Stephen ; Danabasoglu, Gokhan ; Chassignet, Eric P. ; Buijsman, Maarten C. ; Bryan, Frank O. ; Briegleb, Bruce P. ; Barna, Andrew ; Arbic, Brian K. ; Ansong, Joseph ; Alford, Matthew H.
    Diapycnal mixing plays a primary role in the thermodynamic balance of the ocean and, consequently, in oceanic heat and carbon uptake and storage. Though observed mixing rates are on average consistent with values required by inverse models, recent attention has focused on the dramatic spatial variability, spanning several orders of magnitude, of mixing rates in both the upper and deep ocean. Away from ocean boundaries, the spatiotemporal patterns of mixing are largely driven by the geography of generation, propagation, and dissipation of internal waves, which supply much of the power for turbulent mixing. Over the last 5 years and under the auspices of U.S. Climate Variability and Predictability Program (CLIVAR), a National Science Foundation (NSF)- and National Oceanic and Atmospheric Administration (NOAA)-supported Climate Process Team has been engaged in developing, implementing, and testing dynamics-based parameterizations for internal wave–driven turbulent mixing in global ocean models. The work has primarily focused on turbulence 1) near sites of internal tide generation, 2) in the upper ocean related to wind-generated near inertial motions, 3) due to internal lee waves generated by low-frequency mesoscale flows over topography, and 4) at ocean margins. Here, we review recent progress, describe the tools developed, and discuss future directions.
  • Presentation
    Fitting square pegs into a round hole. Curating heterogeneous oceanographic data at BCO-DMO
    (Woods Hole Oceanographic Institution, 2024-02-22) Soenen, Karen ; Kinkade, Danie ; Shepherd, Adam ; Saito, Mak A. ; Gerlach, Dana ; Merchant, Lynne M. ; Newman, Sawyer ; Rauch, Shannon ; York, Amber D.
    BCO-DMO is a domain-specific repository containing 18 years of curated, heterogeneous oceanographic data. Data managers are at the core of the repository, applying the F.A.I.R. principles to every dataset coming in. This talk steers the audience through such a curated dataset, covering the advancements and challenges that comes with domain curation.
  • Presentation
    Data Management and Reporting: BCO-DMO Data Management Services & Best Practices
    (Woods Hole Oceanographic Institution, 2024-08-20) Rauch, Shannon ; Kinkade, Danie ; Soenen, Karen ; Gerlach, Dana ; Merchant, Lynne M. ; Newman, Sawyer ; York, Amber ; Schloer, Conrad ; Shepherd, Adam
    BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects in accordance with F.A.I.R. (Findable, Accessible, Interoperable, Reuseable) data principles.