http://lod.bco-dmo.org/id/dataset/823720
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
2020-09-10
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Carbon isotopes (13C and 14C) and concentrations of dissolved methane (CH4) in surface waters sampled in June 2019 at the Coal Oil Point seep field of the Santa Barbara Basin
2020-09-10
publication
2020-09-10
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-09-21
publication
https://doi.org/10.26008/1912/bco-dmo.823720.1
John D. Kessler
University of Rochester
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: Joung, D., Kessler, J. D. (2020) Carbon isotopes (13C and 14C) and concentrations of dissolved methane (CH4) in surface waters sampled in June 2019 at the Coal Oil Point seep field of the Santa Barbara Basin. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-09-10 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.823720.1 [access date]
14C-CH4 in waters from Coal Oil Point seep field Dataset Description: Methods and Sampling: <p>Samples were collected from the small boat&nbsp;R/V Connell, operated by UCSB.&nbsp;Gases dissolved in seawater were extracted following the procedures outlined in Sparrow and Kessler (2017) and Joung et al (2019). As detailed in these prior publications, surface waters (~ 1 m below sea surface) were pumped through a suction hose with a discharge pump and were passed through multiple filters for removing particles. This water was then continuously passed through a gas-permeable membrane to vacuum extract the dissolved gases in the seawater.</p>
<p>Following these at-sea sample collection procedures, the extracted gas samples were purified and analyzed following vacuum line procedures previously detailed in Sparrow and Kessler (2017).</p>
<p>Please see the Sparrow and Kessler (2017) for detailed descriptions and validation tests for these procedures.</p>
<p>Dissolved methane concentration measurements were conducted using a headspace equilibration technique previously described in Weinstein et al. (2016) and Leonte et al (2017).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851402 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851402
completed
John D. Kessler
University of Rochester
585-273-4572
227 Hutchison Hall Department of Earth and Environmental Sciences
Rochester
NY
14627
USA
john.kessler@rochester.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
STATION
LAT
LONG
DATE
TIME
ISO_DateTime_UTC
StnDep
SamDep
FW
GC_CH4
GC_CH4_stdev
Licor
d13C
d13C_stdev
C14_CH4
C14_CH4_stdev
D14C
D14C_stdev
Accelerator Mass Spectrometer
Agilent 6850
Isotope Ratio Mass Spectrometer
theme
None, User defined
station
latitude
longitude
date
time of day
ISO_DateTime_UTC
depth_w
depth
volume of water filtered
methane
sample_volume
d13C
14C
featureType
BCO-DMO Standard Parameters
Accelerator Mass Spectrometer
Agilent 6850 networked gas chromatograph
Isotope-ratio Mass Spectrometer
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.
Constraining Global Coastal Ocean Methane Emissions to the Atmosphere
https://osprey.bco-dmo.org/project/821667
Constraining Global Coastal Ocean Methane Emissions to the Atmosphere
<p><em>NSF Award Abstract:</em><br />
This project will determine global methane emissions from coastal marine environments, one of the most uncertain natural sources of methane to the atmosphere. Methane is a greenhouse gas whose impact on future climate warming will depend on emissions from both human sources and the changing natural environment. It is therefore critical to understand the baseline emission rates of natural methane sources to the atmosphere as well as their sensitivity to change. While the open ocean environment is thought to emit only minor amounts of methane to the atmosphere, concentrations and emission rates of methane increase substantially approaching coastlines. Coastal ocean methane emissions are potentially significant at the global scale but remain highly uncertain due to a lack of observations that accurately capture coastal distributions. Furthermore, the source of methane emitted from coastal surface waters is not well known, limiting our ability to predict how emissions will change in the future. This project will determine the source and global emission rate of methane from the coastal ocean to the atmosphere, and establish a framework to predict future emission rates in a warming climate. In addition to these scientific and societal impacts, this project will have strong educational impacts as it will provide undergraduate students the opportunity to experience the entire scientific process from idea conception to publication of the final results. A sequence of classes has been established by the PI at the University of Rochester to guide students through this process from an ocean science perspective. This project will serve as the focus for the next iteration of the class sequence, and participating students will be vital contributors to the research. When conducted previously, this educational outreach has empowered undergraduates to pursue their own scientific interests and has led to significant numbers of students pursuing graduate careers in the ocean sciences. This project will also support a Ph.D. student in a truly unique experience whereby she/he will have the opportunity to conduct meaningful research in both sea-going measurement as well as modeling laboratories, and thus integrate into two often disparate communities.</p>
<p>This project will be accomplished through a unique and equal combination of observational and statistical modeling work, leveraging methodologies that are well established in the PI and co-PI's laboratories to make rapid progress over the 2.5-year duration of the project. In total, surface methane concentrations in four coastal regions "spanning three different ocean basins and subtropical to subpolar latitude ranges" will be measured using an ultra-fast vacuum extraction method, yielding coastal data coverage that is unparalleled in previous datasets. Additionally, the radiocarbon content of surface methane will be measured to fingerprint its provenance between fossil and microbial sources, and biogeochemical data including chlorophyll, nutrient, and dissolved oxygen concentrations will be collected. Initial cruise data (year 1) will be used to train Artificial Neural Network models to predict surface methane supersaturation as a function of biogeochemical variables, and later cruises (year 2) will allow for independent model validation in regions that were not used for training. Having established the fidelity with which this model can generalize between coastal environments, it will be applied to extrapolate maps of methane supersaturation and estimate regional and global scale coastal methane emissions while quantifying their uncertainty. Overall, this work will close these gaps in our knowledge of the natural methane budget, yielding the most robust estimates to date of coastal ocean emissions and a new understanding of the mechanisms that sustain them.</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>
Coastal Methane Emissions
largerWorkCitation
project
eng; USA
oceans
-120.015
-119.607
34.333
34.42
2019-06-17
2019-06-19
US Pacific Margin, US Atlantic Margin, Gulf of Mexico, Arctic Ocean
0
BCO-DMO catalogue of parameters from Carbon isotopes (13C and 14C) and concentrations of dissolved methane (CH4) in surface waters sampled in June 2019 at the Coal Oil Point seep field of the Santa Barbara Basin
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/823733.rdf
Name: STATION
Units: unitless
Description: <p>Station ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/823734.rdf
Name: LAT
Units: decimal degrees North
Description: <p>Latitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/823735.rdf
Name: LONG
Units: decimal degrees East
Description: <p>Longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/823736.rdf
Name: DATE
Units: unitless
Description: <p>Date local (PDT); format: MM/DD/YYYY</p>
http://lod.bco-dmo.org/id/dataset-parameter/823737.rdf
Name: TIME
Units: unitless
Description: <p>Time local (PDT); format: hh:mm</p>
http://lod.bco-dmo.org/id/dataset-parameter/823738.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time (UTC) formatted to ISO 8601 standard: YYYY-MM-DDThh:mmZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/823739.rdf
Name: StnDep
Units: meters (m)
Description: <p>Depth of the water column at that station</p>
http://lod.bco-dmo.org/id/dataset-parameter/823740.rdf
Name: SamDep
Units: meters (m)
Description: <p>Water Depth where sample was collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/823741.rdf
Name: FW
Units: liters (L)
Description: <p>Volume of water filtered</p>
http://lod.bco-dmo.org/id/dataset-parameter/823742.rdf
Name: GC_CH4
Units: nanomolar (nM)
Description: <p>Dissolved CH4 concentrations measured by GC-FID</p>
http://lod.bco-dmo.org/id/dataset-parameter/823743.rdf
Name: GC_CH4_stdev
Units: nanomolar (nM)
Description: <p>Standard deviation of GC_CH4</p>
http://lod.bco-dmo.org/id/dataset-parameter/823744.rdf
Name: Licor
Units: parts per million (ppm)
Description: <p>Extracted Gas concentrations measured by Licor</p>
http://lod.bco-dmo.org/id/dataset-parameter/823745.rdf
Name: d13C
Units: per mil (‰)
Description: <p>13C in CH4 by AMS</p>
http://lod.bco-dmo.org/id/dataset-parameter/823746.rdf
Name: d13C_stdev
Units: per mil (‰)
Description: <p>Standard deviation of d13C</p>
http://lod.bco-dmo.org/id/dataset-parameter/823747.rdf
Name: C14_CH4
Units: percent modern
Description: <p>14C in CH4 by AMS</p>
http://lod.bco-dmo.org/id/dataset-parameter/823748.rdf
Name: C14_CH4_stdev
Units: percent modern
Description: <p>Standard deviation of C14_CH4</p>
http://lod.bco-dmo.org/id/dataset-parameter/823749.rdf
Name: D14C
Units: per mil (‰)
Description: <p>14C in CH4 by AMS</p>
http://lod.bco-dmo.org/id/dataset-parameter/823750.rdf
Name: D14C_stdev
Units: per mil (‰)
Description: <p>Standard deviation of D14C</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
1702
https://darchive.mblwhoilibrary.org/bitstream/1912/26190/1/dataset-823720_radiocarbon-methane__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.823720.1
download
onLine
dataset
<p>Samples were collected from the small boat&nbsp;R/V Connell, operated by UCSB.&nbsp;Gases dissolved in seawater were extracted following the procedures outlined in Sparrow and Kessler (2017) and Joung et al (2019). As detailed in these prior publications, surface waters (~ 1 m below sea surface) were pumped through a suction hose with a discharge pump and were passed through multiple filters for removing particles. This water was then continuously passed through a gas-permeable membrane to vacuum extract the dissolved gases in the seawater.</p>
<p>Following these at-sea sample collection procedures, the extracted gas samples were purified and analyzed following vacuum line procedures previously detailed in Sparrow and Kessler (2017).</p>
<p>Please see the Sparrow and Kessler (2017) for detailed descriptions and validation tests for these procedures.</p>
<p>Dissolved methane concentration measurements were conducted using a headspace equilibration technique previously described in Weinstein et al. (2016) and Leonte et al (2017).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing:<br />
- modified parameter names;<br />
- converted date and time (local) into ISO 8601 UTC format.</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
Accelerator Mass Spectrometer
Accelerator Mass Spectrometer
PI Supplied Instrument Name: Accelerator Mass Spectrometer PI Supplied Instrument Description:14C and 13C were measured by Accelerator Mass Spectrometer (AMS) and Isotope Ratio Mass Spectrometer (IRMS), respectively, at the Keck-Carbon Cycle AMS facility at UC Irvine. Instrument Name: Accelerator Mass Spectrometer Instrument Short Name:AMS Instrument Description: An AMS measures "long-lived radionuclides that occur naturally in our environment. AMS uses a particle accelerator in conjunction with ion sources, large magnets, and detectors to separate out interferences and count single atoms in the presence of 1x1015 (a thousand million million) stable atoms, measuring the mass-to-charge ratio of the products of sample molecule disassociation, atom ionization and ion acceleration." AMS permits ultra low-level measurement of compound concentrations and isotope ratios that traditional alpha-spectrometry cannot provide. More from Purdue University: http://www.physics.purdue.edu/primelab/introduction/ams.html Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB17/
Agilent 6850
Agilent 6850
PI Supplied Instrument Name: Agilent 6850 PI Supplied Instrument Description:A gas chromatograph with a flame ionization detector (Agilent 6850) was used for the GC analyses. Instrument Name: Agilent 6850 networked gas chromatograph Instrument Short Name:Agilent 6850 Instrument Description: A single channel, networked, gas chromatograph that separates and analyses compounds into separate components and can be used for chemical, petrochemical and petroleum analyses. The sample is introduced into the injector and then vaporised in the instrument. A chemically inert gas (e.g. helium and nitrogen) carries the vaporised solute into the column that is maintained in a temperature controlled oven. As the solute elutes from the column, it enters the heated detector. An electronic signal is generated upon interaction of the solute with the detector. The Agilent 6850 has a similar performance to the Agilent 6890N GC, but is half as wide. The local interface provides run control and status information and the instrument comes network-ready with a built-in LAN communications interface. There is a choice of detectors available, the Flame Ionization Detector (FID), Thermal Conductivity Detector (TCD) or Mass Selective Detector (MSD). There is an option of split/splitless or packed inlets, a variety of automated sample introduction systems and products available for headspace analysis. This model is no longer in production.
Isotope Ratio Mass Spectrometer
Isotope Ratio Mass Spectrometer
PI Supplied Instrument Name: Isotope Ratio Mass Spectrometer PI Supplied Instrument Description:14C and 13C were measured by Accelerator Mass Spectrometer (AMS) and Isotope Ratio Mass Spectrometer (IRMS), respectively, at the Keck-Carbon Cycle AMS facility at UC Irvine. Instrument Name: Isotope-ratio Mass Spectrometer Instrument Short Name:IR Mass Spec; IRMS Instrument Description: The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/