http://lod.bco-dmo.org/id/dataset/984984
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2025-09-23
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Hydrothermal plume dispersion model outputs for the Endeavour Segment of the Juan de Fuca Ridge for the years 2016, 2021, and 2023
2025-09-23
publication
2025-09-23
revision
Woods Hole Oceanographic Institution (WHOI BCO-DMO)
2025-12-01
publication
https://doi.org/10.26008/1912/bco-dmo.984984.1
Christopher R. German
Woods Hole Oceanographic Institution
principalInvestigator
Guangyu Xu
University of Washington Applied Physics Laboratory
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Guangyu Xu, Christopher R. German (2025) Hydrothermal plume dispersion model outputs for the Endeavour Segment of the Juan de Fuca Ridge for the years 2016, 2021, and 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-09-23 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.984984.1 [access date]
Methods and Sampling: <p><span style="font-size:13px">The simulations were conducted using the Regional Ocean Modeling System (ROMS). The model outputs from the 2016 and 2021 simulations comprise daily averaged three-dimensional fields of velocity, temperature, salinity, along with other model variables. For the period of 2016-08-28 to 2016-12-11, the model outputs are averaged over 4-hour intervals. The data files from the 2023 simulation comprise both daily averaged and bihourly sampled model outputs.</span></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851007 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851007
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851199 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851199
completed
Christopher R. German
Woods Hole Oceanographic Institution
508-289-2853
266 Woods Hole Rd Clark South 276 (MS #24)
Woods Hole
MA
02543
USA
cgerman@whoi.edu
pointOfContact
Guangyu Xu
University of Washington Applied Physics Laboratory
206-543-4043
1013 NE 40th Street Box 355640
Seattle
WA
98105-6698
US
guangyux@uw.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?
https://osprey.bco-dmo.org/project/897794
Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?
<p><em>NSF Award Abstract:</em><br />
Like volcanoes on land, the mid-ocean ridges that cross the ocean floor are not continuously erupting; however, the magmatic heat present just beneath the surface can continue to drive hot springs, just like the ones found within the crater of the "super volcano" at Yellowstone. In our recent work, we have shown that the chemicals released into the oceans from seafloor hot-springs can be dispersed all across the oceans. Now our interest has focused in on one element in particular, iron. This is one of the most abundant elements in every planetary body in the Universe yet it is vanishingly rare in Earth's oceans today. Set against that, it is essential to just about every form of life on Earth from the simplest and most ancient strains of microbes to the most complex animals including humans. In Earth's oceans, the lack of this "essential micro-nutrient" has been found to limit how much life can flourish near both the south and north poles in the Pacific Ocean in the sunlit surface ocean even though the supply of sunlight and other major nutrients (phosphorous, nitrogen) should be more than adequate. Our newest research suggests that iron released from hydrothermal plumes (where the concentrations coming from vents are more than 1 million times higher than normal ocean water) could play a major role. Despite undergoing massive dilution as hydrothermal solutions leave the vents and traverse thousands of kilometers through the oceans, we believe that at least some of the iron released from deep sea hot springs can survive this journey and make a significant impact on how much live exists in Earth's polar oceans and how much CO2 it draws down from the atmosphere. To investigate that idea, this project will study the fate of iron released from a hydrothermal vent over a length scale that hasn't been studied before - from the first 1km through the ocean out to 100km away from the vent-site. This will fill a gap in our knowledge between what happens right at a vent-site (as studied by research submarines) and what happens to ocean chemistry all across Earth's entire ocean basins (as studied by a huge international research project called GEOTRACES). Our work will use a 3D computational model to predict where the plume of material from a vent in the Northeast Pacific Ocean should escape to after it is erupted from some vents at a volcanic system called the Juan de Fuca Ridge. We will then use an advanced autonomous free-swimming robot to search out in the predicted plume area, first to test the accuracy of our predicted model and, second, to collect samples from the hydrothermal plume from where it first forms to as far out as we can follow it. The samples we collect will include both filtered seawater and the particulate material (whether mineralogical or microbiological) that we can extract from the filters. Together, this will allow us to track the fate of the iron and other key physical and geochemical tracers down-plume away from the vents, to work out where it ends up (in the water and in the sediments) and also how fast those processes happen. The work we do will also help plan how to conduct similar robotics-based exploration on future space missions beyond Earth where it has been hypothesized that seafloor events also exist (e.g. Saturn's moon Enceladus) and where, if we are really lucky, we may find that life is hosted based on the energy from seafloor volcanoes, just as happens here on Earth. We have a resident artist embedded in our program who has already begun experimenting with the use of air-flow and sound in her sculptures to help communicate the complex nature of these plumes. She will join our cruise, and work with our team post-cruise to design and hopefully build a sculpture that that could potentially result in a large and long-term outdoor installation.</p>
<p>The international GEOTRACES program has revealed that iron (Fe) is released ubiquitously from submarine ridges to the deep ocean. Results from US GEOTRACES section GP16 showed that both dissolved and particulate (colloidal) Fe may persist so far as to be able to influence primary productivity in High-Nutrient/Low-Chlorophyll (HNLC) regions of the Southern Ocean. As a complement to these sectional studies, we propose a detailed process study to elucidate the mechanisms by which hydrothermally sourced Fe can persist across the oceans at the scale that GEOTRACES has revealed. Specifically, while the "persistent" Fe in a hydrothermal plume appears to behave quasi-conservatively from 100km to 4000km across the SE Pacific Ocean, it is also known that the majority of the Fe present at the Southern EPR on that US GEOTRACES GP16 cruise did not persist over the 100km separation between that station and the next deep ocean station beyond the ridge crest. To fill that gap, this project will conduct a coupled modelling and field study to investigate the fate of hydrothermally sourced Fe at ranges of 0-1, 1-10 and 10-100km down-plume away from a well established vent-source. To begin, we will use the detailed micro-bathymetry and the long-term current meter data available from the Main Endeavour Segment of the Juan de Fuca Ridge to implement a recently developed 3D theoretical plume dispersion model that can predict both the detailed 3D dispersion trajectory and the rate of flow within the hydrothermal plume away from two long-studied and well characterized Main Endeavour Field (MEF) vents. At sea, we will use that predictive model to guide Sentry autonomous underwater vehicle (AUV) surveys that will follow the plume "down-wind" and "across-plume" to compile a 3D survey using in-situ sensors [optical, redox, conductivity, temperature, depth (CTD)] that will allow us to (1) confirm (and better constrain) the predictive model, and to (2) map out the shape and trajectory of the plume to provide context for discrete water column samples that we will collect - both from the AUV and from a trace metal clean CTD-rosette. Sampling from the AUV will use the latest generation of SUPR samplers designed for the CLIO trace-metal-clean water sampler. This will suffice for samples of dissolved, colloidal and particulate trace metals and collection of filtered material for grain-by-grain mineralogical and biogeochemical analyses. That sampling program will be backed up by larger volume sampling down-plume using a CTD-rosette to augment our AUV-based program with helium isotope analyses (to track extents of physical plume dilution at increasing distances downwind and across plume) and for complementary ligand and organic compound analyses to investigate the role that organic complexation might play in protecting reduced species of Fe [and manganese (Mn), too] against oxidative precipitation and removal from the oceanic water column. Post cruise, our combination of biogeochemical measurements and improved 3D physical modelling will not only be able to provide new insights into the processes that control the fluxes of Fe and Mn to the oceans from hydrothermal venting but also the length scales over which those processes take effect. Finally, because our 3D theoretical model includes velocities, we also anticipate being able to deduce the rates at which these processes occur.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Hydrothermal Estuaries
largerWorkCitation
project
eng; USA
oceans
-131.4892
-127.5225
47.0157
48.9824
2016-01-01
2023-12-01
Juan de Fuca Ridge
0
BCO-DMO catalogue of parameters from Hydrothermal plume dispersion model outputs for the Endeavour Segment of the Juan de Fuca Ridge for the years 2016, 2021, and 2023
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://doi.org/10.26008/1912/bco-dmo.984984.1
download
onLine
dataset
<p><span style="font-size:13px">The simulations were conducted using the Regional Ocean Modeling System (ROMS). The model outputs from the 2016 and 2021 simulations comprise daily averaged three-dimensional fields of velocity, temperature, salinity, along with other model variables. For the period of 2016-08-28 to 2016-12-11, the model outputs are averaged over 4-hour intervals. The data files from the 2023 simulation comprise both daily averaged and bihourly sampled model outputs.</span></p>
Specified by the Principal Investigator(s)
<p>This dataset contains model output and configuration files from the numerical simulations of hydrothermal plume dispersion at the Endeavour Segment of the Juan de Fuca Ridge, as presented in Xu and German (2023, 2024). These simulations were conducted using Version 4.1 of the Regional Ocean Modeling System (https://github.com/myroms).<br />
<br />
See more about standard input and output at the ROMS Documentation Portal https://www.myroms.org/wiki and at https://github.com/myroms/roms/wiki &nbsp;(ROMS/TOMS Group, Shchepetkin and McWilliams (2005)).&nbsp;</p>
<p>Output is provided in NetCDF (.nc) format:<br />
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;:format = "netCDF-3 64bit offset file" ;<br />
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;:Conventions = "CF-1.4, SGRID-0.3" ;<br />
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;:type = "ROMS/TOMS nonlinear model averages file" ;</p>
<p>---</p>
<p>Simulation model files are provided in this dataset as .zip packages (See "Data Files").&nbsp; The folders named below are included in the .zip packages.</p>
<p>The folder&nbsp;<strong>‘Endeavour_2016/’ i</strong>ncludes the model files for the 2016 simulation period. The folder ‘Endeavour_2021’ contains model files for the 2021 simulation period. The folder ‘Endeavour_cruise_2023’ contains model files from a targeted simulation focused on the timeframe of the research expedition (R/V Atlantis AT50-15) to the Endeavour Segment in September 2023.</p>
<p>Within ‘<strong>Endeavour_2016/’</strong>, the subdirectory ‘coarse_grid_no_tide’ contains the model output and configuration files for the pilot coarse-resolution simulation (see Xu and German, 2023 for details). The subdirectory ‘nest_fine2ultra’ includes model files for the two-layer nested simulation with the full set of model forcings. Additional subdirectories contain variations of this simulation:</p>
<p>· ‘nest_fine2ultra_no_tide’: without tidal forcing<br />
· ‘nest_fine2ultra_no_tide_no_vent’: without tidal forcing or hydrothermal venting<br />
· ‘nest_fine2ultra_no_vent’: without hydrothermal venting</p>
<p>Within each subdirectory:</p>
<p>· ‘build’ includes the script (build_roms.sh) for compiling model source code;<br />
· ‘include’ contains the user-modified source code files and runtime parameters files;<br />
· ‘input’ includes the input files for model boundary conditions, initial conditions, and external forcing.</p>
<p>Standard model output is stored in NetCDF files named roms_avg_fine_xxxx.nc and roms_avg_ultra_xxxx.nc, corresponding to daily and 4-hour averaged outputs from the fine-resolution and ultra-fine-resolution grids of the nested simulation.</p>
<p>Station-sampled model output is included in NetCDF files named roms_sta_ultraxx.nc.</p>
<p>Model restart files, which are used to resume simulations from a saved state, are named roms_rst_finexx.nc and roms_rst_ultraxx.nc, corresponding to the fine-resolution and ultra-fine-resolution grids.</p>
<p>The file structure within&nbsp;<strong>‘Endeavour_2021/’&nbsp;</strong>is identical, except that it does not include model files for the pilot coarse-resolution simulation.</p>
<p>The subdirectories within&nbsp;<strong>‘Endeavour_cruise_2023/’&nbsp;</strong>are as follows:</p>
<p>· ‘avg_files’ includes two-day averaged model output in NetCDF files named roms_avg_ultra_xxxxx.nc.<br />
· ‘his_files’ includes bihourly sampled model output in NetCDF files named roms_his_ultra_xxxxx.nc.<br />
· ‘model_files’ includes input and configuration files organized into the subfolders ‘build’, ‘include’, and ‘input’, following the same structure as in ‘Endeavour_2016’ and ‘Endeavour_2021.’<br />
· ‘rst_files’ includes model restart NetCDF files named roms_rst_ultraxx.nc.<br />
· ‘sta_files’ includes station-sampled model output in NetCDF files named roms_sta_ultraxx.nc.</p>
<p>References:</p>
<p>Xu G and German CR (2023) Dispersion of deep-sea hydrothermal plumes at the Endeavour Segment of the Juan de Fuca Ridge: a multiscale numerical study. Front. Mar. Sci. 10:1213470. doi:10.3389/fmars.2023.1213470.</p>
<p>Xu, G. and German, C.R., 2024, December. Modeling of Hydrothermal Plume Dispersion during Expedition AT50-15 at the Endeavour Segment of the Juan de Fuca Ridge. In AGU Fall Meeting Abstracts (Vol. 2024, No. 545, pp. OS41H-0545).</p>
Specified by the Principal Investigator(s)
Version 1
* File structure containing simulation folders with root folders Endeavour_2016/ and Endeavour_2021/ and Endeavour_cruise_2023/ were packaged into a zip file per simulation (See Data Files). Zip files were made with zip64 support to enable larger file sizes (made and tested using 7z).
* Supplemental file "file_inventory.csv" was constructed to catalog all files within the file hierarchy (catalogs what's in the .zip packages). And includes column archive_name to clarify which files are in which zip.
* Since run packages are large and may take significant time to download, examples of what are in .nc input and output files were added as supplemental files.
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact