http://lod.bco-dmo.org/id/dataset/751128
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
2018-12-14
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Gridded in-situ profiles from glider deployments in the San Pedro Channel, CA in 2013 and 2014
2018-12-19
publication
2018-12-19
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-05-28
publication
https://doi.org/10.1575/1912/bco-dmo.751128.1
William Haskell
University of California-Santa Barbara
principalInvestigator
Douglas E. Hammond
University of Southern California
principalInvestigator
Maria Prokopenko
Pomona College
principalInvestigator
Burton Jones
King Abdullah University of Science and Technology
principalInvestigator
Naomi M. Levine
University of Southern California
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: Teel, E., Jones, B., Haskell, W., Prokopenko, M., Hammond, D., Levine, N. (2018) Gridded in-situ profiles from glider deployments in the San Pedro Channel, CA in 2013 and 2014. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-12-19 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.751128.1 [access date]
Dataset Description: <p>This dataset includes chlorophyll a fluorescence and water temperature from gridded in-situ profiles from a Slocum Glider deployed between March and July in 2013 and 2014 in the San Pedro Channel, located in the Southern California Bight off the coast of Los Angeles.&nbsp;<br />
<br />
These data were published in&nbsp;Teel et al., 2018.<br />
<br />
In addition to the tabular form of this dataset available by clicking the "Get Data" button on this page, it&nbsp;is also available as a Matlab (*.mat) file containing data matrices and vectors.&nbsp;<br />
* Note that the tabular dataset has a "DEPTH" parameter, but there is none in the above .mat file.&nbsp; Each row of the matrices corresponds to 1m depth increments starting with the first row which corresponds to 1m depth to the last row number 80 corresponding to 80m depth.<br />
&nbsp;</p> Methods and Sampling: Glider deployment:
For this study, a slocum glider was deployed between March and July in 2013 and 2014 in the San Pedro Channel, located in the Southern California Bight off the coast of Los Angeles. The glider was deployed on a 28 km cross-channel path between Catalina Island and the Palos Verdes Peninsula and completed a single cross-channel pass every 1.5–2 days (average speed 1 km h−1). Data were collected between ∼ 3 and 90 m, with the exception of when the glider crossed the major shipping lanes where the glider was constrained to depths below 20 m to avoid damage or loss from ship traffic.
The GMT time stamp indicates the earliest time stamp for data binned within a single profile.
Glider deployments were from small boats belonging to the USC Wrigley Marine Sciences Center or from the R/V Yellowfin.
Instruments:
Teledyne Webb G1 Slocum electric gliders equipped with a WET Labs EcoPuck FL3 fluorometer (used for Chlorophyll a fluorescence), a WET Labs EcoPuck BB3 sensor (used for backscatter at wavelengths of 532, 660, and 880 nm), and a Sea-Bird flow-through CTD (used for temperature, salinity, and pressure).
For more methodology information see Teel et al., 2018.
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1260296 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1260296
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1260692 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1260692
Funding provided by NSF Ocean Sciences Research Initiation Grants (NSF OCE-RIG) Award Number: OCE-RIG-1323319 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1323319
completed
William Haskell
University of California-Santa Barbara
Marine Science Institute, University of California
Santa Barbara
CA
93106
USA
haskell@ucsb.edu
pointOfContact
Douglas E. Hammond
University of Southern California
310-490-7896
3651 Trousdale Pkwy Earth Sciences ZHS117
Los Angeles
CA
90089-0740
USA
dhammond@usc.edu
pointOfContact
Maria Prokopenko
Pomona College
323-630-4068
185 E Sixth St
Claremont
CA
91711-4434
US
Maria.Prokopenko@pomona.edu
pointOfContact
Burton Jones
King Abdullah University of Science and Technology
bjones@usc.edu
pointOfContact
Naomi M. Levine
University of Southern California
213-821-0745
3616 Trousdale Parkway AHF 107
Los Angeles
CA
90089-0371
USA
n.levine@usc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
BINID
DATENUM_GMT
ISO_DateTime_UTC
YEAR
LAT
LON
DEPTH
CHL
TEMP
Sea-Bird flow-through CTD
WET Labs EcoPuck FL3
WET Labs EcoPuck BB3
theme
None, User defined
number of bins
Date and time
ISO_DateTime_UTC
year
latitude
longitude
depth
chlorophyll a
water temperature at measurement depth
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird
Fluorometer
Optical Backscatter Sensor
instrument
BCO-DMO Standard Instruments
UpRISEE_SPOT_13-14
service
Deployment Activity
San Pedro Basin
place
Locations
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: Use of Triple Oxygen Isotopes and O2/Ar to constrain Net/Gross Oxygen Production during upwelling and non-upwelling periods in a Coastal Setting
https://osprey.bco-dmo.org/project/675313
Collaborative Research: Use of Triple Oxygen Isotopes and O2/Ar to constrain Net/Gross Oxygen Production during upwelling and non-upwelling periods in a Coastal Setting
<p>The marine biological pump is one of the primary pathways via which anthropogenic carbon dioxide may be sequestered from the atmosphere and exported to the deep ocean as organic carbon. While the link between nutrient supply and high primary productivity in upwelling regions is well established, factors controlling the organic carbon export efficiency of upwelling ecosystems are not well known. Scientists from the University of Southern California and Pomona College plan to determine the factors that control the rates and magnitudes of two components of biological production, Net Community Production (NCP) and Gross Primary Production (GPP), as well as particulate organic carbon export efficiency, at the San Pedro Ocean Time Series, a coastal site in the California Borderland during periods of minimal and high upwelling velocity over a 2-year span. At this site, past and ongoing observations of hydrography and carbon rain will provide an historical context for interpreting results and mechanisms at work.</p>
<p>Rates of NCP and GPP will be quantified at different upwelling intensity, using dissolved oxygen to argon (O2/Ar) ratios and the oxygen triple isotope composition of dissolved oxygen (O2). The export of organic carbon will be established using 234Th (thorium) profiles in the water column, coupled with floating sediment trap deployments, and the development of a carbon isotope balance for the water column. Upwelling will be characterized using non-steady state budgets for atmospheric 7Be (beryllium) input and its depth-integrated decay, as well as estimating rates based on remote measurements of wind stress curl and budgets for dissolved inorganic carbon and silicon. Application of the O2/Ar ratio and the oxygen triple isotope approach will require depth-integrated profiles of these tracers to evaluate the impact of upwelling on mixed layer inputs and use of non-steady state models during seasonal transitions in upwelling. The comprehensive data set to be obtained should provide insights into the organic carbon export efficiency under variable upwelling regimes and help to relate the satellite-based measurements of chlorophyll to the organic carbon export of these highly productive ecosystems.</p>
<p>Broader Impacts: One graduate and one undergraduate student from the University of Southern California and two undergraduate students from Pomona College would be supported and trained as part of this project.</p>
UpRISEE O2 upwelling
largerWorkCitation
project
OCE-RIG: The impact of submesoscale processes on oligotrophic carbon cycling and the sensitivity of this interaction to climatically driven changes
https://osprey.bco-dmo.org/project/718397
OCE-RIG: The impact of submesoscale processes on oligotrophic carbon cycling and the sensitivity of this interaction to climatically driven changes
<p><em>NSF Award Abstract:</em><br />
Overview: Anthropogenically induced warming has begun to change the global oceans and has the potential to alter the ocean carbon sink. Future changes in mixed layer depth and the delivery of nutrients into the surface ocean are hypothesized to be the primary processes that will impact primary production and carbon cycling in the ocean. Both of these processes are significantly impacted by submesoscale physical dynamics (1-10 km). However, current global climate models used to understand climate sensitivity do not resolve these important features, and so are missing a fundamental mechanism impacting ocean carbon cycling. In this project, the PI will develop a novel biogeochemical and ecosystem model that captures the impact of submesoscale processes on carbon cycling in a framework that is computationally tractable for large-scale simulations.</p>
<p>The Spatially Heterogeneous Dynamic Plankton (SHiP) model will represent a distribution of resource environments at the subgridscale and will include five phytoplankton functional groups, as well as light, nitrogen, and phosphorus limitation on phytoplankton growth. This research will focus on two oligotrophic sites, the Bermuda Atlantic Time-series Station (BATS) and the Hawaii Ocean Time-series (HOT). The SHiP model will be used to explore the impact of the observed submesoscale dynamics captured by the APEX/ISUS profiling nitrate floats on primary production, species dynamics, and carbon export flux. A suite of model simulations will also be conducted to investigate the sensitivity of carbon cycling at BATS and HOT to changes in the frequency and intensity of submesoscale front formation, such as might occur under future climate scenarios. Finally, the measurement-driven SHiP simulations will be compared against an idealized Regional Ocean Modeling System simulation that explicitly resolves submesoscale dynamics.</p>
<p>Intellectual Merit: Submesoscale processes have been shown to have a significant impact on ocean physics, however, the role that these processes play in carbon cycling remains unknown. This study will provide an observation-based analysis of the impact of submesoscale features on community composition and function in oligotrophic gyres and the sensitivity of this interaction to climatically driven changes. In addition, this work will validate a novel approach for mechanistically incorporating the impact of submesoscale dynamics into coarse-resolution models. This research will provide a computationally tractable framework for exploring the impact of changes in climate on global carbon cycling while including the impact of submesoscale processes.</p>
<p>Broader Impacts: The investigator and students associated with this project will collaborate with the Neighborhood Academic Initiative (NAI) at USC to develop an ocean sciences module including a field trip on an oceanographic research vessel. The NAI strives to improve high school graduation and college matriculation rates in the school district surrounding USC, which serves predominantly Latino/Hispanic and African-American communities. The module will also expose the students to oceanography, and help local high school teachers develop an ocean sciences lesson plan to incorporate into their curriculum.</p>
SHiP
largerWorkCitation
project
eng; USA
oceans
San Pedro Basin
-118.516
-118.33291
33.4642
33.69088
2013-03-12
2014-07-06
Northeast Pacific Ocean
0
BCO-DMO catalogue of parameters from Gridded in-situ profiles from glider deployments in the San Pedro Channel, CA in 2013 and 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/751423.rdf
Name: BINID
Units: unitless
Description: <p>Bin identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/751424.rdf
Name: DATENUM_GMT
Units: unitless
Description: <p>Matlab datenum (Greenwich Mean Time)</p>
http://lod.bco-dmo.org/id/dataset-parameter/751425.rdf
Name: ISO_DateTime_UTC
Units: yyyy-MM-dd'T'HH:mm:ss'Z'
Description: <p>Timestamp (UTC) in standard ISO 8601:2004(E) format yyyy-mm-ddTHH:MM:SSZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/751426.rdf
Name: YEAR
Units: unitless
Description: <p>Year in format yyyy</p>
http://lod.bco-dmo.org/id/dataset-parameter/751427.rdf
Name: LAT
Units: decimal degrees (DD)
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/751428.rdf
Name: LON
Units: decimal degrees (DD)
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/751429.rdf
Name: DEPTH
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/751430.rdf
Name: CHL
Units: milligrams per meter cubed (mg/m^3)
Description: <p>Chlorophyll a fluorescence</p>
http://lod.bco-dmo.org/id/dataset-parameter/751431.rdf
Name: TEMP
Units: degrees Celsius (C)
Description: <p>Water temperature</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
10852711
https://darchive.mblwhoilibrary.org/bitstream/1912/24176/1/dataset-751128_gridded-situ-profiles__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.751128.1
download
onLine
dataset
Glider deployment:
For this study, a slocum glider was deployed between March and July in 2013 and 2014 in the San Pedro Channel, located in the Southern California Bight off the coast of Los Angeles. The glider was deployed on a 28 km cross-channel path between Catalina Island and the Palos Verdes Peninsula and completed a single cross-channel pass every 1.5–2 days (average speed 1 km h−1). Data were collected between ∼ 3 and 90 m, with the exception of when the glider crossed the major shipping lanes where the glider was constrained to depths below 20 m to avoid damage or loss from ship traffic.
The GMT time stamp indicates the earliest time stamp for data binned within a single profile.
Glider deployments were from small boats belonging to the USC Wrigley Marine Sciences Center or from the R/V Yellowfin.
Instruments:
Teledyne Webb G1 Slocum electric gliders equipped with a WET Labs EcoPuck FL3 fluorometer (used for Chlorophyll a fluorescence), a WET Labs EcoPuck BB3 sensor (used for backscatter at wavelengths of 532, 660, and 880 nm), and a Sea-Bird flow-through CTD (used for temperature, salinity, and pressure).
For more methodology information see Teel et al., 2018.
Specified by the Principal Investigator(s)
Data processing:
Glider data were processed in Matlab (versions R2012b, R2014a, R2015b, and R2016b). The glider data from each 2-day transect were gridded onto an idealized glider transect with 500 m horizontal resolution and 1m vertical resolution that was approximately perpendicular to the mean flow and the coastline. Only glider data within 5 km of the idealized transect were used in this analysis (Fig. 1). Each 500 m bin (N = 62) corresponded approximately with a single downcast and upcast. Only profiles with data for > 85 % of the vertical bins were used for further analyses, thereby excluding partial profiles from under the shipping lanes. The remaining missing data (< 15 % of each profile) were filled using 2-D interpolation from all neighboring bins. A total of 557 profiles from 2013 and 1049 profiles from 2014 were accepted for further analyses.
BCO-DMO Data Manager Processing notes:
* Script to transform originally submitted matlab data matrices and vectors into a tabular dataset attached as a supplemental document to this dataset landing page.
* Tabular version of the data available by pressing the "Get Data" button. NaNs in the matlab data are displayed as "nd" for no data in the BCO-DMO data system.
* Data was rounded in matlab (or else would be 13 decimal places). LAT and LON rounded to 5 decimal places. CHL and TEMP rounded to 3 decimal places.
* ISO_DateTime_UTC (yyyy-mm-ddTHH:MM:SSZ) timestamp with time zone added to the tabular dataset in addition to the matlab datenum column.
* Added depth column to tabular dataset based on submitter's information that each row in the mat file corresponds to 1m depth increments with row 1 starting at 1m.
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
Sea-Bird flow-through CTD
Sea-Bird flow-through CTD
PI Supplied Instrument Name: Sea-Bird flow-through CTD PI Supplied Instrument Description:Sea-Bird flow-through CTD (used for temperature, salinity, and pressure) Instrument Name: CTD Sea-Bird Instrument Short Name:CTD Sea-Bird Instrument Description: A Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics. This instrument designation is used when specific make and model are not known or when a more specific term is not available in the BCO-DMO vocabulary. Refer to the dataset-specific metadata for more information about the specific CTD used. More information from: http://www.seabird.com/ Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
WET Labs EcoPuck FL3
WET Labs EcoPuck FL3
PI Supplied Instrument Name: WET Labs EcoPuck FL3 PI Supplied Instrument Description:WET Labs EcoPuck FL3 fluorometer (used for Chlorophyll a fluorescence). Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
WET Labs EcoPuck BB3
WET Labs EcoPuck BB3
PI Supplied Instrument Name: WET Labs EcoPuck BB3 PI Supplied Instrument Description:WET Labs EcoPuck BB3 sensor (used for backscatter at wavelengths of 532, 660, and 880 nm) Instrument Name: Optical Backscatter Sensor Instrument Short Name:OBS Instrument Description:
Cruise: UpRISEE_SPOT_13-14
UpRISEE_SPOT_13-14
R/V Yellowfin
R/V Yellowfin
vessel
R/V Yellowfin
R/V Yellowfin
vessel