http://lod.bco-dmo.org/id/dataset/875902
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
2022-06-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Snow and frost flower Be7 concentrations from the MOSAIC expedition on the R/V Polarstern in the Central Arctic Ocean from October 2019 to May 2020
2022-06-21
publication
2022-06-21
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-07-18
publication
https://doi.org/10.26008/1912/bco-dmo.875902.1
Mark Stephens
Florida International University
principalInvestigator
David C. Kadko
Florida International University
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: Stephens, M., Kadko, D. C. (2022) Snow and frost flower Be7 concentrations from the MOSAIC expedition on the R/V Polarstern in the Central Arctic Ocean from October 2019 to May 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-06-21 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.875902.1 [access date]
MOSAIC Snow and Frost Flower Be7 Dataset Description: Methods and Sampling: <p><em>Bulk Snow Sampling:</em> For bulk snow samples, we collected the full snow column (snow surface to ice surface). First, the depth of snow was measured with a ruler. Next, a measured area of the snow surface was outlined with a stick or shovel. Then all of the snow (down to the ice surface) within the marked area was removed with a plastic ice scoop and placed in a plastic bucket.</p>
<p><em>Snow Profile Sampling: </em>For snow profiles, we collected samples at different depth intervals within the snow column. After measuring the depth of snow and marking a measured area on the snow surface, the first layer of snow was carefully removed with a plastic flat bottomed ice scoop and placed in a bucket. The depth of the remaining snow was then measured with a ruler before collecting the next layer of snow. This process was repeated until the ice surface was reached. We sampled two to five layers per profile.</p>
<p><em>Frost Flower Sampling: </em>On two occasions we collected frost flowers from a recently frozen lead before significant snow accumulation had occurred. After marking a measured area of the ice surface, all of the material was removed with a plastic ice scoop and placed in a plastic bucket.</p>
<p>Lead Snow samples are bulk snow and snow profiles collected from a frozen lead after frost flowers were covered with snow.</p>
<p><em>Falling Snow Sampling:</em> On five occasions we were able to sample falling snow in buckets deployed on the Polarstern’s p-deck. Snow was collected in a plastic bucket (diameter = 26 cm, area = 531 cm2). The buckets were deployed during periods of active snowfall and light winds (minimal interference from blowing snow).</p>
<p><em>Shipboard Laboratory Procedure: </em>After the snow samples in buckets to the Polarstern, we added the following solutions: 5 ml hydrochloric acid, 2 ml iron chloride solution, and 1 ml of 1000 ppm stable beryllium AA standard (chemical yield tracer). After melting at room temperature, the water volume was measured using a graduated cylinder. Next, the sample was precipitated using ammonium hydroxide. After allowing the precipitate to settle, excess water was removed by decanting and centrifugation. Finally, the precipitate was transferred to petri dishes and placed in an oven for drying.</p>
<p><em>Gamma Analysis:</em> Dried samples in petri dishes were counted by gamma spectroscopy. Be-7 has a readily identifiable gamma peak at 478 keV. The counting system was calibrated for all samples by preparing a commercial standard in a geometry identical to the samples.</p>
<p><em>Chemical Yield Determination: </em>After gamma counting, samples were brought up to 1 liter in 1% nitric acid solution. The beryllium concentrations were then determined using a Perkin Elmer Optima 7300 DV ICP-OES. Our chemical yields averaged over 80% (Kadko et al., 2019).</p>
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1753408 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1753408
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1753423 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1753423
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1753418 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1753418
completed
Mark Stephens
Florida International University
305-348-8354
10555 W Flagler Street
Miami
FL
33174
USA
mstephen@fiu.edu
pointOfContact
David C. Kadko
Florida International University
305-348-5016
Florida International University, Applied Research Center 10555 West Flagler St.
Miami
FL
33174
USA
dkadko@fiu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
SAMPLE_ID
SAMPLE_TYPE
Collection_Date
MOSAIC_EVENTNO
MOSAIC_Site_Name
LATITUDE
LONGITUDE
SNOW_DEPTH
SAMPLE_DEPTH
AREA_SAMPLED
SAMPLE_VOLUME
Be_7_CONC
Be_7_ERR
Perkin Elmer Optima 7300 DV ICP-OES
high purity germanium (HPGe) gamma detectors
theme
None, User defined
sample identification
sample type
date
event
site
latitude
longitude
snow_thickness
depth
area_measured
sample_volume
beryllium
standard error
featureType
BCO-DMO Standard Parameters
Mass Spectrometer
Gamma Ray Spectrometer
instrument
BCO-DMO Standard Instruments
PS122
service
Deployment Activity
Central Arctic Ocean
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: Defining the Atmospheric Deposition of Trace Elements Into The Arctic Ocean-Ice Ecosystem During The Year-Long MOSAiC Ice Drift
https://www.bco-dmo.org/project/860467
Collaborative Research: Defining the Atmospheric Deposition of Trace Elements Into The Arctic Ocean-Ice Ecosystem During The Year-Long MOSAiC Ice Drift
<p><em>NSF Award Abstract:</em><br />
This project will use a Beryllium 7 (7-Be) method in a year-long expedition as part of the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition to assess the seasonal variability of aerosol deposition. This is the first modern opportunity for such a comprehensive study of the yearly depositional flux of trace elements (TEs) into the Arctic ocean/ice ecosystem. The combination of 7-Be and aerosol TE measurements has been shown to be an effective tool for estimating the atmospheric input of TEs in remote ocean regions where nearby land-based collection sites do not exist. The data generated in this work will be available to allow ground-truthing of models of aerosol deposition and atmospheric input of TEs. Atmospheric deposition is the dominant pathway by which anthropogenically-derived trace elements, especially mercury (Hg), enter the Arctic Ocean, and recent literature suggests that atmospheric deposition of biologically-essential trace elements such as iron (Fe) could play a major role in controlling biological productivity in the Arctic.</p>
<p>Atmospheric transport and deposition of aerosols is an important delivery mechanism of natural and contaminant trace elements (TEs) to the Arctic. Existing data show that atmospheric deposition of contaminant elements like Hg, Pb, and Se may be a major input of these elements to the Arctic, with likely sources being anthropogenic - industrial or power plant emissions associated with fossil fuel combustion in Europe, Russia, and Asia. The atmospheric input of biologically-essential trace elements (e.g. Mn, Fe, Co, Ni, Cu, Zn) plays a key role in controlling biogeochemical processes in the ocean, and recent work suggests this might be true in the Arctic as well. These inputs have strong implications for the ecosystem, and even human health. Assessment of this input is difficult because measurements of deposition rates in remote ocean regions are scarce, and are particularly daunting to take in the Arctic because harsh conditions and limited research platforms make it difficult to obtain quality-controlled precipitation and aerosol chemistry measurements on a routine basis. This research will provide estimates of the yearly atmospheric deposition flux of aerosol TEs (total and soluble), including those of biogeochemical importance as well as pollutant species. The seasonal evolution of partitioning of trace element deposition among the various catchments (ice, water, snow, melt ponds) will also be assessed. The work will involve measurements of 7-Be inventories, 7-Be aerosol activities, and aerosol concentrations of TEs. Field work will be during a year-long ice drift of the MOSAiC expedition through the central Arctic Ocean.</p>
<p>This project will be a component of the MOSAiC expedition, an international initiative motivated by the rapidly evolving Arctic climate system, with thinning sea ice, warming ocean and atmosphere temperatures, strong climate feedbacks, and dramatic implications for society. MOSAiC has broad international support and has been endorsed by international and US institutions as a project that is critically needed to provide foundational information on the changing central Arctic system required to support coupled model development. The ability to provide estimates of the atmospheric input of relevant TEs to the Arctic Ocean will contribute widely to the field of chemical oceanography, including understanding anthropogenic impacts on the region and the role atmospheric input of TEs plays in Arctic Ocean ecology. The lead institution is one of the country's leading minority serving universities, and the lead researcher has undertaken a mentoring program for students involved in its research activities. The team will record short lectures and video logs that can be used in future iterations of his courses to introduce important oceanographic concepts and give his students a first-hand account of life aboard an oceanographic vessel. Other scientists will be asked to grant interviews to add to the breadth of perspectives, and the outreach will emphasize the role of basic scientific research in improving our understanding of natural phenomena and the planet's response to anthropogenic stressors.</p>
MOSAiC
largerWorkCitation
project
eng; USA
oceans
Central Arctic Ocean
12.8438
128.929
83.771
88.4888
2019-10-24
2020-05-09
Central Arctic Ocean
0
BCO-DMO catalogue of parameters from Snow and frost flower Be7 concentrations from the MOSAIC expedition on the R/V Polarstern in the Central Arctic Ocean from October 2019 to May 2020
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/875992.rdf
Name: SAMPLE_ID
Units: unitless
Description: Sample Identifier
http://lod.bco-dmo.org/id/dataset-parameter/875993.rdf
Name: SAMPLE_TYPE
Units: unitless
Description: Type of sample
http://lod.bco-dmo.org/id/dataset-parameter/875994.rdf
Name: Collection_Date
Units: unitless
Description: Sample collection date in format: YYYY-MM-DD
http://lod.bco-dmo.org/id/dataset-parameter/875995.rdf
Name: MOSAIC_EVENTNO
Units: unitless
Description: Event Number
http://lod.bco-dmo.org/id/dataset-parameter/875996.rdf
Name: MOSAIC_Site_Name
Units: unitless
Description: Site name on the ice floe
http://lod.bco-dmo.org/id/dataset-parameter/875997.rdf
Name: LATITUDE
Units: decimal degrees
Description: Latitude North of sample site
http://lod.bco-dmo.org/id/dataset-parameter/875998.rdf
Name: LONGITUDE
Units: decimal degrees
Description: Longitude East (West is negative) of sample site
http://lod.bco-dmo.org/id/dataset-parameter/875999.rdf
Name: SNOW_DEPTH
Units: meters (m)
Description: Depth of snow
http://lod.bco-dmo.org/id/dataset-parameter/876000.rdf
Name: SAMPLE_DEPTH
Units: meters (m)
Description: Depth from snow surface
http://lod.bco-dmo.org/id/dataset-parameter/876001.rdf
Name: AREA_SAMPLED
Units: square meters (m2)
Description: Horizontal sample area
http://lod.bco-dmo.org/id/dataset-parameter/876002.rdf
Name: SAMPLE_VOLUME
Units: Liters (L)
Description: Volume of melted sample
http://lod.bco-dmo.org/id/dataset-parameter/876003.rdf
Name: Be_7_CONC
Units: Becquerels per cubic meter (Bq/m3)
Description: Be-7 concentration
http://lod.bco-dmo.org/id/dataset-parameter/876004.rdf
Name: Be_7_ERR
Units: Becquerels per cubic meter (Bq/m3)
Description: Error associated w Be-7 concentration
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
13562
https://darchive.mblwhoilibrary.org/bitstream/1912/29129/1/dataset-875902_mosaic-snow-and-frost-flower-be7__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.875902.1
download
onLine
dataset
<p><em>Bulk Snow Sampling:</em> For bulk snow samples, we collected the full snow column (snow surface to ice surface). First, the depth of snow was measured with a ruler. Next, a measured area of the snow surface was outlined with a stick or shovel. Then all of the snow (down to the ice surface) within the marked area was removed with a plastic ice scoop and placed in a plastic bucket.</p>
<p><em>Snow Profile Sampling: </em>For snow profiles, we collected samples at different depth intervals within the snow column. After measuring the depth of snow and marking a measured area on the snow surface, the first layer of snow was carefully removed with a plastic flat bottomed ice scoop and placed in a bucket. The depth of the remaining snow was then measured with a ruler before collecting the next layer of snow. This process was repeated until the ice surface was reached. We sampled two to five layers per profile.</p>
<p><em>Frost Flower Sampling: </em>On two occasions we collected frost flowers from a recently frozen lead before significant snow accumulation had occurred. After marking a measured area of the ice surface, all of the material was removed with a plastic ice scoop and placed in a plastic bucket.</p>
<p>Lead Snow samples are bulk snow and snow profiles collected from a frozen lead after frost flowers were covered with snow.</p>
<p><em>Falling Snow Sampling:</em> On five occasions we were able to sample falling snow in buckets deployed on the Polarstern’s p-deck. Snow was collected in a plastic bucket (diameter = 26 cm, area = 531 cm2). The buckets were deployed during periods of active snowfall and light winds (minimal interference from blowing snow).</p>
<p><em>Shipboard Laboratory Procedure: </em>After the snow samples in buckets to the Polarstern, we added the following solutions: 5 ml hydrochloric acid, 2 ml iron chloride solution, and 1 ml of 1000 ppm stable beryllium AA standard (chemical yield tracer). After melting at room temperature, the water volume was measured using a graduated cylinder. Next, the sample was precipitated using ammonium hydroxide. After allowing the precipitate to settle, excess water was removed by decanting and centrifugation. Finally, the precipitate was transferred to petri dishes and placed in an oven for drying.</p>
<p><em>Gamma Analysis:</em> Dried samples in petri dishes were counted by gamma spectroscopy. Be-7 has a readily identifiable gamma peak at 478 keV. The counting system was calibrated for all samples by preparing a commercial standard in a geometry identical to the samples.</p>
<p><em>Chemical Yield Determination: </em>After gamma counting, samples were brought up to 1 liter in 1% nitric acid solution. The beryllium concentrations were then determined using a Perkin Elmer Optima 7300 DV ICP-OES. Our chemical yields averaged over 80% (Kadko et al., 2019).</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- Converted dates to ISO8601 format (YYYY-MM-DD)<br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions<br />
- Added a conventional header with dataset name, PI names, version date</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
Perkin Elmer Optima 7300 DV ICP-OES
Perkin Elmer Optima 7300 DV ICP-OES
PI Supplied Instrument Name: Perkin Elmer Optima 7300 DV ICP-OES Instrument Name: Mass Spectrometer Instrument Short Name:Mass Spec Instrument Description: General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/
high purity germanium (HPGe) gamma detectors
high purity germanium (HPGe) gamma detectors
PI Supplied Instrument Name: high purity germanium (HPGe) gamma detectors Instrument Name: Gamma Ray Spectrometer Instrument Short Name: Instrument Description: Instruments measuring the relative levels of electromagnetic radiation of different wavelengths in the gamma-ray waveband.
Cruise: PS122
PS122
Community Standard Description
International Council for the Exploration of the Sea
R/V Polarstern
vessel
PS122
https://datadocs.bco-dmo.org/docs/305/MOSAiC/data_docs/Expeditionsprogramm_PS122_leg2.pdf
Report describing PS122
Community Standard Description
International Council for the Exploration of the Sea
R/V Polarstern
vessel