http://lod.bco-dmo.org/id/dataset/867442
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
2022-01-03
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Antarctic Peninsula ROMS model Palmer Deep area drifter data
2022-09-19
publication
2022-09-19
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-02-23
publication
https://doi.org/10.26008/1912/bco-dmo.867442.1
Michael Dinniman
Old Dominion University
principalInvestigator
John M. Klinck
Old Dominion University
principalInvestigator
Joshua Kohut
Rutgers University
principalInvestigator
Matthew Oliver
University of Delaware
principalInvestigator
Katherine Hudson
University of Delaware
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: Dinniman, M., Hudson, K., Oliver, M., Kohut, J., Klinck, J. M. (2022) Antarctic Peninsula ROMS model Palmer Deep area drifter data. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2022-09-19 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.867442.2 [access date]
Dataset Description: <p>Details on the model simulation and the passive tracers are given in: Hudson et al. (2021).<br />
Details on the tracers with simulated diel vertical migration are given in: Hudson et al. (2022).<br />
Besides the paper listed above, more detail on the WAP model is in:&nbsp; Graham et al. (2016).</p> Methods and Sampling: <p>Model results are from a 1.5 km horizontal resolution Regional Ocean Modeling System (v3.6) circulation model, including dynamic sea-ice and static ice shelves (including mechanical and thermodynamic interactions between the floating ice shelves and the water underneath), for the west Antarctic Peninsula coastal ocean.&nbsp;</p>
<p>The model simulation covers the period November 2008 –December 2009, and is forced by atmospheric output from the Antarctic Mesoscale Prediction System and lateral forcing from several sources including tidal information from the CATS2008 regional Antarctic tidal model.&nbsp;</p>
<p>The results here are model velocities and cross sections of density over the nearshore Palmer Deep submarine canyon averaged over late summer (January to March) 2009.&nbsp; The other files are model outputs of the position and environmental variables of passive neutrally-buoyant particles that are released on a grid with approximately 4 km horizontal spacing around Palmer Deep canyon.&nbsp; The particles were advected by the model circulation at every model time step.&nbsp; Particles were released every 2 days starting on 1 November 2008 and tracked for several months.&nbsp; Each drifter file contains all the drifters that were released at a given depth (either surface, 10, 20, 50, 120, 150, or 300 m) and there were a total of 64,800 particles in every release.</p>
<p>More details on these data are in Hudson et al. (2021), but the simulation is similar to the 1.5 km model run (other than the tidal forcing, updated bathymetry around Palmer Deep, and the release of drifters) described in Graham et al. (2016).</p>
<p>This dataset includes three sets of data files:</p>
<p>1) NetCDF model output of the velocity vectors averaged over January to March 2009 for the area around Palmer Deep.&nbsp; The vectors are interpolated onto a common horizontal grid and there are separate files (vectors.surface.d1064.d1153.nc, vectors.50m.d1064.d1153.nc, etc.) for each of the five fixed depths (surface, 50 m, 100 m, 150 m, 300 m).&nbsp; This is the data for Figure 2 of Hudson et al. (2021).</p>
<p>2) NetCDF model output cross sections of density averaged over January to March 2009 along specific transect lines.&nbsp; The three files (dcross.along.ROMS.nc, dcross.over.out.ROMS.nc, dcross.deep.across.ROMS.nc) are the three cross sections in Figure 3 of Hudson et al. (2021).</p>
<p>3) NetCDF model output of the position and environmental variables for each of the 64800 drifters released in the model in the vicinity of Palmer Deep.&nbsp; The information for each drifter is saved every simulated hour.&nbsp; These files are quite large and there is a separate file for the different initial release depths.</p>
<p>4) NetCDF model output of the position and environmental variables for each of the 64800 drifters with simulated diel vertical behavior released in the model in the vicinity of Palmer Deep.&nbsp; The information for each drifter is saved every simulated hour.&nbsp; These files are quite large and there is a separate file for each different simulated diel vertical behavior.</p>
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1745009 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1745009
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1744884 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1744884
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1745011 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1745011
completed
Michael Dinniman
Old Dominion University
757-683-5559
Old Dominion University
Norfolk
VA
23529
United States
msd@ccpo.odu.edu
pointOfContact
John M. Klinck
Old Dominion University
757-683-6005
4111 Monarch Way
Norfolk
Virginia
23508-2561
USA
klinck@ccpo.odu.edu
pointOfContact
Joshua Kohut
Rutgers University
848-932-3496
71 Dudley Rd.
Brunswick
NJ
08901
USA
kohut@marine.rutgers.edu
pointOfContact
Matthew Oliver
University of Delaware
302-645-4079
University of Delaware 1044 College Drive
Lewes
DE
19958
US
moliver@udel.edu
pointOfContact
Katherine Hudson
University of Delaware
860-287-3278
100 Nicolls Rd.
Stony Brook
NY
11794
USA
Katherine.l.hudson@stonybrook.edu
pointOfContact
asNeeded
Dataset Version: 2
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: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots
https://osprey.bco-dmo.org/project/850844
Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots
<p>NSF Award Abstract:<br />
Undersea canyons play disproportionately important roles as oceanic biological hotspots and are critical for our understanding of many coastal ecosystems. Canyon-associated biological hotspots have persisted for thousands of years Along the Western Antarctic Peninsula, despite significant climate variability. Observations of currents over Palmer Deep canyon, a representative hotspot along the Western Antarctic Peninsula, indicate that surface phytoplankton blooms enter and exit the local hotspot on scales of ~1-2 days. This time of residence is in conflict with the prevailing idea that canyon associated hotspots are primarily maintained by phytoplankton that are locally grown in association with these features by the upwelling of deep waters rich with nutrients that fuel the phytoplankton growth. Instead, the implication is that horizontal ocean circulation is likely more important to maintaining these biological hotspots than local upwelling through its physical concentrating effects. This project seeks to better resolve the factors that create and maintain focused areas of biological activity at canyons along the Western Antarctic Peninsula and create local foraging areas for marine mammals and birds. The project focus is in the analysis of the ocean transport and concentration mechanisms that sustain these biological hotspots, connecting oceanography to phytoplankton and krill, up through the food web to one of the resident predators, penguins. In addition, the research will engage with teachers from school districts serving underrepresented and underserved students by integrating the instructors and their students completely with the science team. Students will conduct their own research with the same data over the same time as researchers on the project. Revealing the fundamental mechanisms that sustain these known hotspots will significantly advance our understanding of the observed connection between submarine canyons and persistent penguin population hotspots over ecological time, and provide a new model for how Antarctic hotspots function.</p>
<p>
To understand the physical mechanisms that support persistent hotspots along the Western Antarctic Peninsula (WAP), this project will integrate a modeling and field program that will target the processes responsible for transporting and concentrating phytoplankton and krill biomass to known penguin foraging locations. Within the Palmer Deep canyon, a representative hotspot, the team will deploy a High Frequency Radar (HFR) coastal surface current mapping network, uniquely equipped to identify the eddies and frontal regions that concentrate phytoplankton and krill. The field program, centered on surface features identified by the HFR, will include (i) a coordinated fleet of gliders to survey hydrography, chlorophyll fluorescence, optical backscatter, and active acoustics at the scale of the targeted convergent features; (ii) precise penguin tracking with GPS-linked satellite telemetry and time-depth recorders (TDRs); (iii) and weekly small boat surveys that adaptively target and track convergent features to measure phytoplankton, krill, and hydrography. A high resolution physical model will generalize our field measurements to other known hotspots along the WAP through simulation and determine which physical mechanisms lead to the maintenance of these hotspots. The project will also engage educators, students, and members of the general public in Antarctic research and data analysis with an education program that will advance teaching and learning as well as broadening participation of under-represented groups. This engagement includes professional development workshops, live connections to the public and classrooms, student research symposia, and program evaluation. Together the integrated research and engagement will advance our understanding of the role regional transport pathways and local depth dependent concentrating physical mechanisms play in sustaining these biological hotspots.</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>
Project SWARM
largerWorkCitation
project
eng; USA
oceans
155
-152
-35
32
2009-01-01
2009-03-31
West Antarctic Peninsula
0
BCO-DMO catalogue of parameters from Antarctic Peninsula ROMS model Palmer Deep area drifter data
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
43613191488
https://darchive.mblwhoilibrary.org/bitstream/1912/29361/1/WAP_1k_flt_DielVertical.zip
download
62588462189
https://darchive.mblwhoilibrary.org/bitstream/1912/29361/2/WAP_1k_flt.tar.gz
download
17515733
https://darchive.mblwhoilibrary.org/bitstream/1912/29361/3/vectors_d1064_d1153.tar.gz
download
200368
https://darchive.mblwhoilibrary.org/bitstream/1912/29361/4/dcross_ROMS.tar.gz
download
62588462189
https://darchive.mblwhoilibrary.org/bitstream/1912/28038/1/WAP_1k_flt.tar.gz
download
17515733
https://darchive.mblwhoilibrary.org/bitstream/1912/28038/2/vectors_d1064_d1153.tar.gz
download
200368
https://darchive.mblwhoilibrary.org/bitstream/1912/28038/3/dcross_ROMS.tar.gz
download
https://doi.org/10.26008/1912/bco-dmo.867442.1
download
onLine
dataset
<p>Model results are from a 1.5 km horizontal resolution Regional Ocean Modeling System (v3.6) circulation model, including dynamic sea-ice and static ice shelves (including mechanical and thermodynamic interactions between the floating ice shelves and the water underneath), for the west Antarctic Peninsula coastal ocean.&nbsp;</p>
<p>The model simulation covers the period November 2008 –December 2009, and is forced by atmospheric output from the Antarctic Mesoscale Prediction System and lateral forcing from several sources including tidal information from the CATS2008 regional Antarctic tidal model.&nbsp;</p>
<p>The results here are model velocities and cross sections of density over the nearshore Palmer Deep submarine canyon averaged over late summer (January to March) 2009.&nbsp; The other files are model outputs of the position and environmental variables of passive neutrally-buoyant particles that are released on a grid with approximately 4 km horizontal spacing around Palmer Deep canyon.&nbsp; The particles were advected by the model circulation at every model time step.&nbsp; Particles were released every 2 days starting on 1 November 2008 and tracked for several months.&nbsp; Each drifter file contains all the drifters that were released at a given depth (either surface, 10, 20, 50, 120, 150, or 300 m) and there were a total of 64,800 particles in every release.</p>
<p>More details on these data are in Hudson et al. (2021), but the simulation is similar to the 1.5 km model run (other than the tidal forcing, updated bathymetry around Palmer Deep, and the release of drifters) described in Graham et al. (2016).</p>
<p>This dataset includes three sets of data files:</p>
<p>1) NetCDF model output of the velocity vectors averaged over January to March 2009 for the area around Palmer Deep.&nbsp; The vectors are interpolated onto a common horizontal grid and there are separate files (vectors.surface.d1064.d1153.nc, vectors.50m.d1064.d1153.nc, etc.) for each of the five fixed depths (surface, 50 m, 100 m, 150 m, 300 m).&nbsp; This is the data for Figure 2 of Hudson et al. (2021).</p>
<p>2) NetCDF model output cross sections of density averaged over January to March 2009 along specific transect lines.&nbsp; The three files (dcross.along.ROMS.nc, dcross.over.out.ROMS.nc, dcross.deep.across.ROMS.nc) are the three cross sections in Figure 3 of Hudson et al. (2021).</p>
<p>3) NetCDF model output of the position and environmental variables for each of the 64800 drifters released in the model in the vicinity of Palmer Deep.&nbsp; The information for each drifter is saved every simulated hour.&nbsp; These files are quite large and there is a separate file for the different initial release depths.</p>
<p>4) NetCDF model output of the position and environmental variables for each of the 64800 drifters with simulated diel vertical behavior released in the model in the vicinity of Palmer Deep.&nbsp; The information for each drifter is saved every simulated hour.&nbsp; These files are quite large and there is a separate file for each different simulated diel vertical behavior.</p>
Specified by the Principal Investigator(s)
<p>Version 1</p>
<p>BCO-DMO Data Manager Processed notes:<br />
*&nbsp; Bundled and compressed the dcross.along.ROMS.nc, dcross.deep.across.ROMS.nc, dcross.over.out.ROMS.nc into 'dcross_ROMS.tar.gz'<em> </em>and added to the Data Files section.</p>
<p>* Bundled and compressed&nbsp; vectors.100m.d1064.d1153.nc, vectors.150m.d1064.d1153.nc, vectors.300m.d1064.d1153.nc, vectors.50m.d1064.d1153.nc, vectors.surface.d1064.d1153.nc into 'vectors_d1064_d1153.tar.gz' and added to the Data Files section</p>
<p>* Bundled and compressed WAP_1k_flt.r042.nc, WAP_1k_flt.r043.ext.2.nc, WAP_1k_flt.r046A.nc, WAP_1k_flt.r046B.nc, WAP_1k_flt.r046C.ext.2.nc, WAP_1k_flt.r046.ext.2.nc, WAP_1k_flt.r060.nc into 'WAP_1k_flt.tar.gz' and added to Datta Files</p>
<p>Version 2</p>
<p>* Added fourth set of data files. Bundled and compressed:&nbsp; WAP_1k_flt.r039A.nc,&nbsp;WAP_1k_flt.r038B.nc,&nbsp;WAP_1k_flt.r038A.nc,&nbsp;WAP_1k_flt.r037.nc,&nbsp;WAP_1k_flt.r037B.nc, WAP_1k_flt.r036.nc&nbsp;</p>
Specified by the Principal Investigator(s)
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