http://lod.bco-dmo.org/id/dataset/707065
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
2017-06-29
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Passive particle runs, larval movement, sea surface temperature, and velocity videos from Gulf of Maine coastal models from May to September of 2014
2021-10-06
publication
2021-10-06
revision
BCO-DMO Linked Data URI
2021-10-06
creation
http://lod.bco-dmo.org/id/dataset/707065
Huijie Xue
University of Maine
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: Xue, H. (2021) Passive particle runs, larval movement, sea surface temperature, and velocity videos from Gulf of Maine coastal models from May to September of 2014. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 3) Version Date 2021-10-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/707065 [access date]
Dataset Description: Details of the model output animations and metadata are available in a data table served from this landing page. See the "Data Files" section to download a zip file containing "Coastal Gulf of Maine model output and documentation." Methods and Sampling: <p>The two coastal models are based on the Finite Volume Coastal Ocean Model (FVCOM) version 2.7, and the results from both models are (will continue to be) validated using a combination of datasets, including temporal data of sea surface height, temperature, salinity and current velocity as well as spatial distributed current profiles and CTD transects in both cross-shelf and along shelf directions (see the datasets from linked projects). The predicted particle trajectories are calculated using the FVCOM i-state configuration model (FISCM), an offline Lagrangian model developed by Geoff Cowles of the University of Massachusetts Dartmouth.&nbsp;</p>
<p>Code used to generate these output is currently being documented. &nbsp;It will be made available at the end of the project.</p>
<p>For more information about FVCOM see:&nbsp;<a href="http://fvcom.smast.umassd.edu/fvcom/">http://fvcom.smast.umassd.edu/fvcom/</a></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1333797 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1333797
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1458239 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1458239
onGoing
Huijie Xue
University of Maine
207-581-4318
School of Marine Sciences 456 Aubert Hall University of Maine
Orono
ME
04469
USA
hxue@maine.edu
pointOfContact
asNeeded
Dataset Version: 3
Unknown
Model_Name
Description
Run
Start_Date
Start_Time
End_Date
filename
file_size_MB
video_file_link
theme
None, User defined
brief description
experiment type
experiment id
start_date
time_start
end_date
file_name
file_link
featureType
BCO-DMO Standard Parameters
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.
An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations
https://osprey.bco-dmo.org/project/527082
An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations
<p>Acronym "MuLTI-2" (Mussel Larval Transport Initiative-2)</p>
<p>Extracted from the NSF award abstract:</p>
<p>Existing larval transport models focus mainly on along-shelf transport and have done little to explicitly incorporate the effects of cross-shelf mixing and transport processes. Yet cross-shelf transits (both outgoing and incoming legs) are critical components of the dispersal paths of coastal invertebrates. This project will explore the role of cross-shelf mixing in the connectivity of blue mussel populations in eastern Maine. Previous work has shown that the Eastern Maine Coastal Current (EMCC) begins to diverge from shore southwest of the Grand Manan Channel and creates a gradient in cross-shelf mixing and larval transport, with cross-shelf mixing being more common on the northeastern end, episodic in the transitional middle area, and then becoming rare in the southwestern half of the region of the Gulf of Maine. As a result, the investigators predict that northeastern populations of mussels are seeded mostly from up-stream sources, while a significant component of self-seeding (local retention) exists in southwestern populations. Larvae settling in the intervening bays are expected to be derived from a mixture of local and up-stream sources. Using a combined empirical and theoretical approach hydrographic, current profile, and larval vertical migration data will be collected and used to develop and validate a high-resolution coastal circulation model coupled to a model of larval behavior. The investigators will model simulations in different years using the empirical data from mussel reproductive output and spawning times. Connectivity predicted from this model will be then tested against independent empirical estimates of connectivity based on trace element fingerprinting for larvae which can be connected to specific natal habitats. Regions of agreement and discrepancy in the model will be identified to guide additional data collection and model refinement. This iterative process will ensure an understanding of both larval transport patterns and processes, and provide estimates of inter-annual variability in connectivity for blue mussel populations in the Gulf of Maine.</p>
MuLTI-2
largerWorkCitation
project
Intertidal community assembly and dynamics: Integrating broad-scale regional variation in environmental forcing and benthic-pelagic coupling
https://osprey.bco-dmo.org/project/542407
Intertidal community assembly and dynamics: Integrating broad-scale regional variation in environmental forcing and benthic-pelagic coupling
<p>Rocky intertidal habitats in the Gulf of Maine (GoM) provide a model system to examine the structure and dynamics of natural communities. Throughout the Gulf of Maine, the same species are often found in these habitats but community structure, dynamics and productivity differ markedly among 3 distinct regions (southern, central and northern GoM). Past influential work, conducted primarily in the southern and central GoM, focused on the local processes driving intertidal community structure but produced very different conceptual models of how these communities are structured. This project examines whether regional differences in rocky shore community processes are driven by differences in recruitment that are shaped by regional variation in temperature and food availability and nearshore coastal oceanography. This project will improve the understanding of how large-scale environmental forces interact with local processes to control the distribution of species and the structure and dynamics of these communities. Understanding the interaction between processes operating at different scales is fundamentally important to developing more reliable models that can be used to predict community dynamics. In addition, data resulting from this project will have important implications for regional dynamics in commercially important species and for ecosystem and fisheries management within the GoM.</p>
<p>The overarching hypothesis of this project is that regional differences in community-level processes are driven by very different patterns of population connectivity and recruitment in a few key species, and that these differences are ultimately caused by regional variation in temperature and food availability and mediated by physical larval transport processes. Hence, the project will test the following hypotheses with manipulative field experiments, field sampling, connectivity estimates, and integrative modeling:<br />
1) Locally-dispersing species dominate dynamics in regions with a net export of planktonic larvae (Northern GoM), while species with planktonic larvae dominate the dynamics in regions with high settlement and extensive connectivity among populations (Southern GoM).<br />
2) Settlement density of species with planktonic larvae increases from northern to southern regions in accord with regional variation in food availability.<br />
3) Population connectivity varies greatly among regions, with regions differing in the degree to which they are self-seeded or serve as larval sources vs. sinks; self-seeding leads to relatively localized population dynamics in the middle portion of the GoM.<br />
4) Patterns of population connectivity are driven by physical transport processes and can be represented by coupling basic larval behavior models with circulation models.</p>
<p>At 18 different sites in the GoM across ~ 600 km, surveys will evaluate variation in recruitment, food availability and secondary productivity and experiments will assess community processes in wave-exposed and sheltered habitats. We will use hydrographic, current profile, and larval vertical distribution surveys to collect data for coupled larval/circulation models. Population connectivity will be both modeled and empirically evaluated (for one species) using elemental fingerprinting. A spatially explicit metacommunity model will integrate across all project components and test the relative importance of regional and local processes in controlling community organization and dynamics.</p>
GOMEPRO
largerWorkCitation
project
eng; USA
oceans
-69.109341
-66.430738
44.1
45.1
2014-05-01
2014-09-28
From projects that focused on the following 2 locations: 1. Gulf of Maine: Frenchmen Bay (44 28.239 N -68 15.927 W) to Machais Bay (44 39.350 N -67 21.320 W) 2. Rocky intertidal shores and nearshore coastal waters throughout the Gulf of Maine
0
BCO-DMO catalogue of parameters from Passive particle runs, larval movement, sea surface temperature, and velocity videos from Gulf of Maine coastal models from May to September of 2014
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
http://lod.bco-dmo.org/id/dataset-parameter/862490.rdf
Name: Model_Name
Units: unitless
Description: <p>Model name</p>
http://lod.bco-dmo.org/id/dataset-parameter/862491.rdf
Name: Description
Units: unitless
Description: <p>Description of video file (e.g. "SST with velocity overlay"). Type of data in video file (particle or SST&V).</p>
http://lod.bco-dmo.org/id/dataset-parameter/862492.rdf
Name: Run
Units: unitless
Description: <p>Run identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/862493.rdf
Name: Start_Date
Units: unitless
Description: <p>Start date of the run in format yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/862494.rdf
Name: Start_Time
Units: unitless
Description: <p>Start time of the run in format hh:mm</p>
http://lod.bco-dmo.org/id/dataset-parameter/862495.rdf
Name: End_Date
Units: unitless
Description: <p>End date of the run in format yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/862496.rdf
Name: filename
Units: unitless
Description: <p>Filename</p>
http://lod.bco-dmo.org/id/dataset-parameter/862497.rdf
Name: file_size_MB
Units: megabytes (MB)
Description: <p>Video file size</p>
http://lod.bco-dmo.org/id/dataset-parameter/862498.rdf
Name: video_file_link
Units: unitless
Description: <p>Link to download the video file of the run</p>
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
5188
https://datadocs.bco-dmo.org/file/P66GkZAuNQv1Dj/model_output.csv
model_output.csv
Primary data file for dataset ID 707065
download
1055045626
https://datadocs.bco-dmo.org/docs/MuLTI_2/data_docs/model_output_v3.zip
Coastal Gulf of Maine model output and documentation
This zip file contains output and a readme files for two Coastal Gulf of Maine models.
There are three types of animations. SST with velocity overlays, passive particle trajectories, and larval movements. Metadata for these animations including file name is available in a data table accessible from the dataset landing page "Coastal Gulf of Maine model output" https://www.bco-dmo.org/dataset/707065.
There are a total of 20 particle runs, 4 per month in May, June, July, August and September 2014.
The eastern Gulf of Maine coastal model: from -69.109341 to -66.430738 longitude (west of Penobscot Bay to Passamaquoddy Bay) and extending from the intertidal zone (5 m above the mean sea level) to approximately 60 km offshore.
The western Gulf of Maine coastal model: from 41.666667 to 44.666667 latitude (Massachusetts Bay to east of Penobscot Bay) and extending from the intertidal zone (5 m above the mean sea level) to approximately 60 km offshore.
download
https://osprey.bco-dmo.org/dataset/707065/data/download
download
onLine
dataset
<p>The two coastal models are based on the Finite Volume Coastal Ocean Model (FVCOM) version 2.7, and the results from both models are (will continue to be) validated using a combination of datasets, including temporal data of sea surface height, temperature, salinity and current velocity as well as spatial distributed current profiles and CTD transects in both cross-shelf and along shelf directions (see the datasets from linked projects). The predicted particle trajectories are calculated using the FVCOM i-state configuration model (FISCM), an offline Lagrangian model developed by Geoff Cowles of the University of Massachusetts Dartmouth.&nbsp;</p>
<p>Code used to generate these output is currently being documented. &nbsp;It will be made available at the end of the project.</p>
<p>For more information about FVCOM see:&nbsp;<a href="http://fvcom.smast.umassd.edu/fvcom/">http://fvcom.smast.umassd.edu/fvcom/</a></p>
Specified by the Principal Investigator(s)
<p>BCO-DMO data manager notes:<br />
* data version 2: 2018-11-26 replaces data version 1 and adds an additional animation of real time larval tracking<br />
* data version 3: 2021-10-06 repaces data version 2 and adds additional output from a second coastal GoM model.&nbsp; Additional columns describing model output added to the dataset.</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