http://lod.bco-dmo.org/id/dataset/767737
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
2019-05-14
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Velocity observations from a mooring at Station AT55 in Lake Michigan from 2018-04-05 to 2018-04-20
2019-05-14
publication
2019-05-14
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-05-20
publication
https://doi.org/10.1575/1912/bco-dmo.767737.1
Cary Troy
Purdue University
principalInvestigator
Harvey Bootsma
University of Wisconsin
principalInvestigator
David Cannon
Purdue University
principalInvestigator
Qian Liao
University of Wisconsin
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: Troy, C., Bootsma, H., Cannon, D., Liao, Q. (2019) Velocity observations from a mooring at Station AT55 in Lake Michigan from 2018-04-05 to 2018-04-20. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-05-14 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.767737.1 [access date]
Lake Michigan Velocity Mooring Data, Station AT55, April 2018 (Milwaukee) Dataset Description: <p>A fixed mooring was established to measure water column velocities in Lake Michigan near Milwaukee, WI, during 2018 from April 5 – April 20, 2018 at a 55m depth site.&nbsp; The mooring involved a large tripod, upon which two ADCPs (Nortek Aquadopp HR profiler and Nortek Signature 500) were mounted to measure water column velocities between 13cm and 5087cm above the bed.&nbsp;</p> Methods and Sampling: <p>All velocity data was averaged over 10 minutes of sampling before being interpolated onto a common time vector. Individual instrument accuracies, ranges, and resolutions are included.</p>
<p>ADCPs were used to sample current velocities at 2 Hz, with the Nortek Signature 500 (287cm – 5087cm above bed, 2m bin size) measuring continuously and the Nortek Aquadopp HR Profiler (13.1cm – 133.1cm above bed, 3cm cell size) burst sampling for ~8.5minutes every 10 minutes. All data were quality controlled according to manufacturer recommendations and measurements with poor amplitudes and correlations were removed before averaging.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1658390 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1658390
completed
Cary Troy
Purdue University
765-494-3844
Lyles School of Civil Engineering
West Lafayette
IN
47907
USA
troy@purdue.edu
pointOfContact
Harvey Bootsma
University of Wisconsin
414-251-9231
School of Freshwater Sciences 600 E. Greenfield Ave.
Milwaukee
WI
53204
USA
hbootsma@uwm.edu
pointOfContact
David Cannon
Purdue University
2195102668
550 Stadium Mall Drive
West Lafayette
IN
47907
cannond@purdue.edu
pointOfContact
Qian Liao
University of Wisconsin
414-229-4228
Department of Civil and Environmental Engineering P.O. Box 413
Milwaukee
WI
53201
USA
liao@uwm.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
ISO_DateTime_UTC
HAB_cm
HAB_m
vel
component
filename
lat
lon
ADCP Nortek (Aquadopp HR Profiler, Signature 500)
theme
None, User defined
ISO_DateTime_UTC
altitude
No BCO-DMO term
file_name
latitude
longitude
featureType
BCO-DMO Standard Parameters
Acoustic Doppler Current Profiler
instrument
BCO-DMO Standard Instruments
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: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders
https://osprey.bco-dmo.org/project/670679
Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders
<p><em>Overview:</em><br />
While benthic filter feeders are known to influence plankton and nutrient dynamics in shallow marine and freshwater systems, their role is generally considered to be minor in large, deep systems. However, recent evidence indicates that profundal quagga mussels (Dreissena rostriformis bugensis) have dramatically altered energy flow and nutrient cycling in the Laurentian Great Lakes and other larges aquatic systems, so that conventional nutrient-plankton paradigms no longer apply. Observed rates of phosphorus grazing by profundal quagga mussels in Lake Michigan exceed the passive settling rates by nearly an order of magnitude, even under stably stratified conditions. We hypothesize that the apparently enhanced particle deliver rate to the lake bottom results from high filtration capacity combined with vertical mixing processes that advect phytoplankton from the euphotic zone to the near-bottom layer. However, the role of hydrodynamics is unclear, because these processes are poorly characterized both within the hypolimnion as a whole and within the near-bottom layer. In addition, the implications for phytoplankton and nutrient dynamics are unclear, as mussels are also important nutrient recyclers. In the proposed interdisciplinary research project, state-of-the-art instruments and analytical tools will be deployed in Lake Michigan to quantify these critical dynamic processes, including boundary layer turbulence, mussel grazing, excretion and egestion, and benthic fluxes of carbon and phosphorus. Empirical data will be used to calibrate a 3D hydrodynamic-biogeochemical model to test our hypotheses.</p>
<p><em>Intellectual Merit:</em><br />
This collaborative biophysical project is structured around two primary questions: 1) What role do profundal dreissenid mussels play in large lake carbon and nutrient cycles? 2) How are mussel grazing and the fate of nutrients recycled by mussels modulated by hydrodynamics at scales ranging from mm (benthic boundary layer) to meters (entire water column)? The project will improve the ability to model nutrient and carbon dynamics in coastal and lacustrine waters where benthic filter-feeders are a significant portion of the biota. By so doing, it will address the overarching question of how plankton and nutrient dynamics in large, deep lakes with abundant profundal filter feeders differ from the conventional paradigm described by previous models. Additionally, the project will quantify and characterize boundary layer turbulence for benthic boundary layers in large, deep lakes, including near-bed turbulence produced by benthic filter feeders.</p>
<p><em>Broader Impacts:</em><br />
The project will provide new insight into the impacts of invasive dreissenid mussels, which are now threatening many large lakes and reservoirs across the United States. Dreissenid mussels appear to be responsible for a number of major changes that have occurred in the Great Lakes, including declines of pelagic plankton populations, declines in fish populations, and, ironically, nuisance algal blooms in the nearshore zone. As a result, conventional management models no longer apply, and managers are uncertain about appropriate nutrient loading targets and fish stocking levels. The data and models resulting from this project will help to guide those decisions. Additionally, the project will provide insight to bottom boundary layer physics, with applicability to other large lakes, atidal coastal seas, and the deep ocean. The project will leverage the collaboration and promote interdisciplinary education for undergraduate and graduate students from two universities (UW-Milwaukee and Purdue). The project will support 3 Ph.D. students and provide structured research experiences to undergraduates through a summer research program. The project will also promote education of future aquatic scientists by hosting a Biophysical Coupling Workshop for graduate students who participate in the annual IAGLR conferences, and the workshop lectures will be published for general access through ASLO e-Lectures and on an open-access project website.</p>
<p><em>Background publications are available at:</em><br />
<a href="http://onlinelibrary.wiley.com/doi/10.1002/2014JC010506/full" target="_blank">http://onlinelibrary.wiley.com/doi/10.1002/2014JC010506/full</a><br />
<a href="http://link.springer.com/article/10.1007/s00348-012-1265-9" target="_blank">http://link.springer.com/article/10.1007/s00348-012-1265-9</a><br />
<a href="http://aslo.net/lomethods/free/2009/0169.pdf" target="_blank">http://aslo.net/lomethods/free/2009/0169.pdf</a><br />
<a href="http://www.sciencedirect.com/science/article/pii/S0380133015001458" target="_blank">http://www.sciencedirect.com/science/article/pii/S0380133015001458</a></p>
<p><em>Note: </em>This is an NSF Collaborative Research Project.</p>
Filter Feeders Physics and Phosphorus
largerWorkCitation
project
eng; USA
oceans
-87.7532
-87.7532
43.0699
43.0699
2018-04-05
2018-04-20
Lake Michigan
0
BCO-DMO catalogue of parameters from Velocity observations from a mooring at Station AT55 in Lake Michigan from 2018-04-05 to 2018-04-20
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/768272.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>The columns YEAR MONTH DAY HOUR MINUTE SECOND combined into the ISO 8601 time representation</p>
http://lod.bco-dmo.org/id/dataset-parameter/768273.rdf
Name: HAB_cm
Units: centimeters (cm)
Description: <p>Height above bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/768274.rdf
Name: HAB_m
Units: meters (m)
Description: <p>Height above bottom</p>
http://lod.bco-dmo.org/id/dataset-parameter/768275.rdf
Name: vel
Units: meters per second (m/s)
Description: <p>Average water column velocity</p>
http://lod.bco-dmo.org/id/dataset-parameter/768276.rdf
Name: component
Units: unitless
Description: <p>directional component of the average water column velocity (EAST; NORTH; UP)</p>
http://lod.bco-dmo.org/id/dataset-parameter/768277.rdf
Name: filename
Units: unitless
Description: <p>name of the file from which the data was extracted (minus the .txt extension)</p>
http://lod.bco-dmo.org/id/dataset-parameter/768278.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude with positive values indicating northward</p>
http://lod.bco-dmo.org/id/dataset-parameter/768279.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude with positive values indicating eastward</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
37573483
https://darchive.mblwhoilibrary.org/bitstream/1912/24152/1/dataset-767737_adcp-lake-michigan__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.767737.1
download
onLine
dataset
<p>All velocity data was averaged over 10 minutes of sampling before being interpolated onto a common time vector. Individual instrument accuracies, ranges, and resolutions are included.</p>
<p>ADCPs were used to sample current velocities at 2 Hz, with the Nortek Signature 500 (287cm – 5087cm above bed, 2m bin size) measuring continuously and the Nortek Aquadopp HR Profiler (13.1cm – 133.1cm above bed, 3cm cell size) burst sampling for ~8.5minutes every 10 minutes. All data were quality controlled according to manufacturer recommendations and measurements with poor amplitudes and correlations were removed before averaging.&nbsp;</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing Notes:<br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- added lat and&nbsp;lon columns from metadata provided<br />
- added component column which was extracted from source file names<br />
- added filename column to document the file from which the data was sourced<br />
- added ISO_DateTime_UTC column&nbsp;generated from date and time values</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
ADCP Nortek (Aquadopp HR Profiler, Signature 500)
ADCP Nortek (Aquadopp HR Profiler, Signature 500)
PI Supplied Instrument Name: ADCP Nortek (Aquadopp HR Profiler, Signature 500) PI Supplied Instrument Description:ADCPs were used to sample current velocities at 2 Hz, with the Nortek Signature 500 (287cm – 5087cm above bed, 2m bin size) measuring continuously and the Nortek Aquadopp HR Profiler (13.1cm – 133.1cm above bed, 3cm cell size) burst sampling for ~8.5minutes every 10 minutes.
Nortek Aquadopp HR Profiler (2 MHz)
Measurement Locations: 13.1 cm - 133.1 cm
Burst interval: 600s
Sample rate: 2 Hz
Samples/burst: 1024
Cell size: 3cm
All data is quality controlled according to manufacturer recommendations, removing all measurements with amplitudes below 60 dB and correlations below 70%. Data is then averaged over a single burst (1024 samples)
Nortek Signature 500 (500kHz)
Measurement Locations: 287 cm - 5087 cm
Burst interval: continuous sampling
Sample rate: 2 Hz
Samples/burst: continuous
Cell size: 2m
Nominal Velocity Range: 1m/s
All data is quality controlled according to manufacturer recommendations, removing all measurements with amplitudes below 30 dB and correlations below 50%. Data is then averaged over 600s (1200samples). Instrument Name: Acoustic Doppler Current Profiler Instrument Short Name:ADCP Instrument Description: The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes. The ADCP works by transmitting "pings" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving. Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/115/