initial_metadata_submitted_to_ADC

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

isibhv/platforms/pack_ice/ice_ps/dart_asd/exdata
isibhv/platforms/pack_ice/ice_ps/dart_kipps/exdata

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

Melt Pond Maps around the MOSAiC Drifting Station derived from High Resolution Optical Imagery.

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

1) Central Observatory Met and Flux Towers: Generally this will be 6 data streams

Central Observatory Met and Flux Towers - 1-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

1) Central Observatory Met and Flux Towers: Generally this will be 6 data streams

Central Observatory Met and Flux Towers - 10-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

1) Central Observatory Met and Flux Towers: Generally this will be 6 data streams

Central Observatory Met and Flux Towers - 10-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

1) Central Observatory Met and Flux Towers: Generally this will be 6 data streams

Central Observatory Met and Flux Towers - 30-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

2) Atmospheric Surface Flux Station 30: Generally this will be 6 data streams

Atmospheric Surface Flux Station 30 - 1-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

2) Atmospheric Surface Flux Station 30: Generally this will be 6 data streams

Atmospheric Surface Flux Station 30 - 10-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

2) Atmospheric Surface Flux Station 30: Generally this will be 6 data streams

Atmospheric Surface Flux Station 30 - 10-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

2) Atmospheric Surface Flux Station 30: Generally this will be 6 data streams

Atmospheric Surface Flux Station 30 - 30-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

3) Atmospheric Surface Flux Station 40: Generally this will be 6 data streams

Atmospheric Surface Flux Station 40 - 1-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

3) Atmospheric Surface Flux Station 40: Generally this will be 6 data streams

Atmospheric Surface Flux Station 40 - 10-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

3) Atmospheric Surface Flux Station 40: Generally this will be 6 data streams

Atmospheric Surface Flux Station 40 - 10-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

3) Atmospheric Surface Flux Station 40: Generally this will be 6 data streams

Atmospheric Surface Flux Station 40 - 30-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

4) Atmospheric Surface Flux Station 50: Generally this will be 6 data streams

Atmospheric Surface Flux Station 50 - 1-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

4) Atmospheric Surface Flux Station 50: Generally this will be 6 data streams

Atmospheric Surface Flux Station 50 - 10-min Met Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

4) Atmospheric Surface Flux Station 50: Generally this will be 6 data streams

Atmospheric Surface Flux Station 50 - 10-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

4) Atmospheric Surface Flux Station 50: Generally this will be 6 data streams

Atmospheric Surface Flux Station 50 - 30-min Turbulence Data - Level 3 Final

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

1) Central Observatory Met and Flux Towers: Generally this will be 6 data streams

Central Observatory Met and Flux Towers - Slow Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

1) Central Observatory Met and Flux Towers: Generally this will be 6 data streams

Central Observatory Met and Flux Towers - Fast Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

2) Atmospheric Surface Flux Station 30: Generally this will be 6 data streams

Atmospheric Surface Flux Station 30 - Slow Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

2) Atmospheric Surface Flux Station 30: Generally this will be 6 data streams

Atmospheric Surface Flux Station 30 - Fast Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

3) Atmospheric Surface Flux Station 40: Generally this will be 6 data streams

Atmospheric Surface Flux Station 40 - Slow Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

3) Atmospheric Surface Flux Station 40: Generally this will be 6 data streams

Atmospheric Surface Flux Station 40 - Fast Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

4) Atmospheric Surface Flux Station 50: Generally this will be 6 data streams

Atmospheric Surface Flux Station 50 - Slow Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

matthew.shupe@noaa.gov

4) Atmospheric Surface Flux Station 50: Generally this will be 6 data streams

Atmospheric Surface Flux Station 50 - Fast Data - Level 1 Raw

not applicable. New files will replace all data on MCS

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

continuous 1 Hz measurementsfrom October 2019 through September 2020; raw

Wind speed measurements from a 2D ultrasonic anemometeron the FS Polarstern bow tower deployed during MOSAiC expedition 2019 –2020 (NSF 1807496)

/isibhv/platforms/vessel/polarstern/bow_tower/sonic_anemometer_2d_ship_bow

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

jhutchings@coas.oregonstate.edu

Sea ice drift tracks from the Distributed Network of autonomous buoys deployed during the MOSAiC expedition 2019 - 2021

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

jhutchings@coas.oregonstate.edu

Sea ice deformation at varying scales (5-10 km) from the Distributed Network of autonomous buoys deployed during the MOSAiC expedition 2019 - 2021

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Joel Johnson, Kenneth Jezek, Mark J. Andrews, Oguz Demir

Monitoring Sea Ice Evolution with Ultrawideband Microwave Radiometry in the MoSAIC Campaign

Research data will include
the measurements of ultra-wideband radiometer acquired as part of the MOSAiC campaign, as
well as pre-campaign calibration experiments. The datasets will be recorded as time and location
tagged “Medium rate” binary files that record spectrograms of the observed thermal emissions at
1 msec and 512 spectral channels in each of four instrument primary channels, as well as the
kurtosis of these measurements both in the time and frequency domains. As described in Table 1
of the proposal, these products represent a data rate of ~ 300 MB/hour of operation, or a total of ~
2.6 TB acquired over the 1 year campaign. These datasets will subsequently be processed into
“level 1” (data after blanking of pulsed interference at 100 msec resolution) and “level 2”
(calibrated data at 100 msec time resolution and the removal of frequency domain sources) that
will be available as HDF5 formatted datasets for public use.

Sea ice thermal radiation measurements from Ultra Wideband Microwave Radiometer (UWBRAD), deployed during MOSAiC expedition 2019-2020 (Leg1)

Only final (calibrated and cleaned) data products will be submitted and they are currently stored in the ElectroScience Laboratory servers

ARCSS-Arctic System Science

Joel Johnson, Kenneth Jezek, Mark J. Andrews, Oguz Demir

Monitoring Sea Ice Evolution with Ultrawideband Microwave Radiometry in the MoSAIC Campaign

Research data will include
the measurements of ultra-wideband radiometer acquired as part of the MOSAiC campaign, as
well as pre-campaign calibration experiments. The datasets will be recorded as time and location
tagged “Medium rate” binary files that record spectrograms of the observed thermal emissions at
1 msec and 512 spectral channels in each of four instrument primary channels, as well as the
kurtosis of these measurements both in the time and frequency domains. As described in Table 1
of the proposal, these products represent a data rate of ~ 300 MB/hour of operation, or a total of ~
2.6 TB acquired over the 1 year campaign. These datasets will subsequently be processed into
“level 1” (data after blanking of pulsed interference at 100 msec resolution) and “level 2”
(calibrated data at 100 msec time resolution and the removal of frequency domain sources) that
will be available as HDF5 formatted datasets for public use.

Sea ice thermal radiation measurements from Ultra Wideband Microwave Radiometer (UWBRAD), deployed during MOSAiC expedition 2019-2020 (Leg 2)

Only final (calibrated and cleaned) data products will be submitted and they are currently stored in the ElectroScience Laboratory servers

ARCSS-Arctic System Science

Arctic water isotope cycle processes and patterns in the Central Arctic during an International Arctic Drift Expedition (MOSAiC)

We are working towards a very structured format that will involve archiving our water vapor isotope data from the array of sites across the Arctic that are part of my/our network. 1) Raw observed absorption spectra from isotopic analyzers, allowing
fundamental transparency for long term archives; 2) calibrated time series data on water vapor and
isotope ratios; 3) calibration datasets and calibration performance statistics; 3) precipitation isotope

ratio data and accompanying error statistics; 5) ancillary meteorological data; 6) a series of quick-
look images to assist users browsing the data archive; 7) gridded water vapor transport fields output

from atmospheric transport model, with matching visualization; and 8) educational packages forming
part of our Broader Impacts plan. Each file will be accompanied by comprehensive documentation,
including information on data primary origin, analysis methods, and metadata. Model output will be
stored in standard NetCDF form (using the CF convention).

September 2019 – October 2020 (Ny Alesund begins in December 2019)

(5 min average) Arctic Water Isotope Network measurements during MOSAiC, September 2019 – October 2020

AON-Arctic Observing Network

Arctic water isotope cycle processes and patterns in the Central Arctic during an International Arctic Drift Expedition (MOSAiC)

We are working towards a very structured format that will involve archiving our water vapor isotope data from the array of sites across the Arctic that are part of my/our network. 1) Raw observed absorption spectra from isotopic analyzers, allowing
fundamental transparency for long term archives; 2) calibrated time series data on water vapor and
isotope ratios; 3) calibration datasets and calibration performance statistics; 3) precipitation isotope

ratio data and accompanying error statistics; 5) ancillary meteorological data; 6) a series of quick-
look images to assist users browsing the data archive; 7) gridded water vapor transport fields output

from atmospheric transport model, with matching visualization; and 8) educational packages forming
part of our Broader Impacts plan. Each file will be accompanied by comprehensive documentation,
including information on data primary origin, analysis methods, and metadata. Model output will be
stored in standard NetCDF form (using the CF convention).

(RAW DATA) Arctic Water Isotope Network measurements during MOSAiC, September 2019 – October 2020

AON-Arctic Observing Network

Chemistry of reactive gases in the Arctic sea ice and atmosphere

detlev.helmig@colorado.edu

continuous 1-minutemeasurements with a TEI 49C analyzer from ship’s bow

Ozone concentration measurements with a commercial UVspectrometer from the FS Polarstern bow deployed during MOSAiC expedition 2019 – 2020 (NSF 1914781)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Chemistry of reactive gases in the Arctic sea ice and atmosphere

detlev.helmig@colorado.edu

continuous 15-minutemeasurements with a Tekran model 2537 gaseous elemental mercury analyzerfrom ship’s bow

Gaseous elemental mercury measurements with a commercialUV spectrometer from the FS Polarstern bow deployed during MOSAiC expedition 2019 – 2020 (NSF 1914781)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Chemistry of reactive gases in the Arctic sea ice and atmosphere

detlev.helmig@colorado.edu

Nitrogen oxides concentration measurements with a customozone-reaction chemiluminescent analyzer from the FS Polarstern bow deployed during MOSAiC expedition 2019 – 2020 (NSF 1914781)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Chemistry of reactive gases in the Arctic sea ice and atmosphere

detlev.helmig@colorado.edu

continuous ~ 3 hourlymeasurements of selected hydrocarbons and halocarbons from October 2019through September 2020; edited

Hydrocarbon and halocarbon concentration measurementswith a commercial Gas Chromatograph–Mass Spectrometer (GCMS) analyzerand a custom automated sample collection and calibration system from the FSPolarstern bow deployed during MOSAiC expedition 2019 – 2020 (NSF 1914781)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

Turbulent ocean heat flux at 3m depth (2 hourly)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

Turbulent ocean salt flux at 3m depth (2 hourly)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

Local ice base height relative to the flux instrument (nominally 3m depth) (2 hourly)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

1MHz acoustic backscatter strength every 1 cm from the flux package to the ice base (2 hourly)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

u (eastwest) and v (north south) ADCP current profiles every 2m from 6m to 80m depth (backscatter dependent). (every 30 minutes)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

300 KHz relative backscatter strength for each of 4 ADCP acoustic beams at the same sample intervals as the u/v currents (every 30 minutes)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

Relative correlation levels of the broadband acoustic signals for each of the 4 ADCP beams at the same sample interval as the u/v currents (every 30 minutes)

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

Raw along beam velocities for each of the 4 ADCP beams along with ADCP heading, pitch and roll.

ARCSS-Arctic System Science

Collaborative Research: Thermodynamic and dynamic drivers of the Arctic sea ice mass budget at MOSAiC

donald.k.perovich@dartmouth.edu

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Don Perovich, Marika Holland, Bonnie Light

Collaborative Research: Improving the Prediction of Sea Ice through Targeted Study of Poorly Parameterized Sea Ice Processes at MOSAiC and Responsive Model Development

donald.k.perovich@dartmouth.edu

We expect to stop uploading data in January and continue uploading into spring as we complete processing of the different data sets.

ARCSS-Arctic System Science

Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform

amaguilarislas@alaska.edu

Ice Cores, Seawater, Snow data. We will have .txt or .csv files of chemically analyzed water samples. We will have very short CTD files of data collected from right under the ice.

ARCSS-Arctic System Science

Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform

ARCSS-Arctic System Science

Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform

No reply, last emailed Feb 11 2021

ARCSS-Arctic System Science

Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform

No reply, last emailed Feb 11 2021

ARCSS-Arctic System Science

Chemical, Physical and Biological processes linking snow and sea ice to the Arctic Ocean mixed layer: Improving models through the MOSAiC platform

Ice Cores, Seawater, Snow data. We will have .txt or .csv files of chemically analyzed water samples. We will have very short CTD files of data collected from right under the ice. We were unable to complete our work during the MOSAiC expedition. We participated in Leg 1 but that was all. We are preparing to collect data from Utqiagvik this Spring. Our MOSAiC is not over so we will be extending the project for another year and will have better answers to all your questions later this summer after we see what we are able to collect in Barrow. I would expect data to be submitted late this year or early in 2022.

Check in again in 2022

ARCSS-Arctic System Science

Collaborative Research: Defining the atmospheric deposition of trace elements into the Arctic ocean-ice ecosystem during the year-long MOSAiC ice drift

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

continuous 10 Hz measurements from October 2019 through September 2020; raw

Wind speed and turbulence measurements from a 3D ultrasonic anemometer on the FS Polarstern bow tower deployed during MOSAiC expedition 2019 – 2020 (NSF 1807496)

/isibhv/platforms/vessel/polarstern/bow_tower/sonic_anemometer_3d_ship_bow

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

recalibrated version to besubmitted during 2021; ~30 Gb uncompressed ASCII text

Carbon Dioxide and methane concentration measurements with a cavity ring-down spectrometer from the FS Polarstern bow tower deployed during MOSAiC expedition 2019 – 2020 (NSF 1807496)

MCS files not yet suitable for archive submission. continuous 10 Hz measurementsfrom October 2019 through September 2020; edited

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

10 Hz measurements from the MetCity 10m tower when logistical conditions permit

Carbon Dioxide and methane concentration measurementswith a cavity ring-down spectrometer from a 10m meteorological tower deployed on sea ice during MOSAiC expedition 2019 – 2020 (NSF 1807496)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

edited recalibrated version to besubmitted during 2021; ~9 Gb uncompressed ASCII text

Dimethylsulfide concentration measurements with a custom Atmospheric Pressure Ionization Mass Spectrometer (APIMS) from the FS Polarstern bow deployed during MOSAiC expedition 2019 – 2020 (NSF 1807496)

MCS files not yet suitable for archive submission. continuous 10 Hz measurements from July 13 through September 30

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

continuous 10 Hz measurementsfrom October 2019 through September 2020; edited recalibrated version to besubmitted during 2021; ~15 Gb uncompressed ASCII text tabular

Ozone concentration measurements with a custom nitricoxide-reaction chemiluminescent analyzer from the FS Polarstern bow deployed during MOSAiC expedition 2019 – 2020 (NSF 1807496)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

continuous ~ hourly measurementsof selected trace gas fluxes by eddy correlation from October 2019 through September 2020; a secondary

Turbulent carbon dioxide methane ozone and dimethylsulfidesurface flux measurements from the FS Polarstern bow tower deployed during MOSAiC expedition 2019 – 2020 (NSF 1807496)

ARCSS-Arctic System Science

Byron Blomquist, C. Fairall, Detlev Helmig, Laurens Ganzeveld

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

byron.blomquist@colorado.edu

~ hourly measurements of CO2 andCH4 surface fluxes by eddy correlation from the Met City 10m tower whenlogistical conditions permit from October 2019 through September 2020; asecondary

Turbulent carbon dioxide and methane surface fluxmeasurements from a 10m meteorological tower deployed during MOSAiCexpedition 2019 – 2020 (NSF 1807496)

ARCSS-Arctic System Science

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

episodic (~ 3x weekly)measurements of CO2 and CH4 flux over snow

Dynamic-chamber surface flux measurements of carbondioxide and methane on sea ice open leads and melt ponds deployed during MOSAiC expedition 2019 – 2020 (NSF 1807163)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

Dynamic-chamber surface flux measurements of dimethylsulfide (DMS) on sea ice open leads and melt ponds deployed during MOSAiC expedition 2019 – 2020 (NSF 1807163)

MCS files not yet suitable for archivesubmission.

ARCSS-Arctic System Science

Collaborative Research: Surface Exchange of Climate-Active Trace Gases in a Sea Ice Environment During MOSAiC

episodic during Legs 4 and 5. ~100Mb uncompressed ASCII text

Dimethly sulfide (DMS) concentrations in atmospheric andaqueous samples measured using Adsorbent/Thermal Desorption System linkedto Gas Chromatography - Flame Photometric Detection (GC-FPD) deployed during MOSAiC expedition 2019 – 2020 (NSF 1807163)

MCS files not yet suitable for archive submission.

ARCSS-Arctic System Science

Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

jsbowman@ucsd.edu , echamber@ucsd.edu

Transcriptomes collected from the Arctic Ocean for methane oxidation experiments over the course of the MOSAiC International Arctic Drift Project 2019-2020

Files will be stored with our lab before publication to the Arctic Data Center.

ARCSS-Arctic System Science

Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

jsbowman@ucsd.edu , echamber@ucsd.edu

16s/18s rRNA gene sequences collected from the Arctic Ocean and Arctic sea ice over the course of the MOSAiC International Drift Project 2019-2020

lab will be in possession of all files but it is likely we will be publishing these data through NCBI and then cross linking with the Arctic Data Center. Based on our previous conversations it seems like this might be possible?

ARCSS-Arctic System Science

Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

jsbowman@ucsd.edu , echamber@ucsd.edu

Net primary production (NPP) modeled from the Ar/O2 ratio excess for continuous and discrete data.

Files will be stored with our lab before publication to the Arctic Data Center. Small file size

ARCSS-Arctic System Science

Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

Seawater column samples collected by the Ocean City (OC, CTD_SBE9plus_935) and the Polarstern (PS, CTD_SBE9plus_321) rosettes during November 2019 and September 2020, within the MOSAiC expedition.

isibhv/platforms/vessel/polarstern/uri_methoxy_picarro/exdata

ARCSS-Arctic System Science

Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

Water samples collected from leads by the peristaltic_pump during July and September 2020, within the MOSAiC expedition.

isibhv/platforms/vessel/polarstern/uri_methoxy_picarro/exdata

ARCSS-Arctic System Science

Collaborative Research: Quantifying microbial controls on the annual cycle of methane and oxygen within the ultraoligotrophic Central Arctic during MOSAiC

Sea ice samples collected from the First Year Ice (FYI) and Second Year Ice (SYI) sites by Sea Ice (SI) corer_9cm, during the MOSAiC expedition.

isibhv/platforms/vessel/polarstern/uri_methoxy_picarro/exdata

ARCSS-Arctic System Science

Gijs de Boer, Brain Argrow, Dale Lawrence, John Cassano

Analysis to evaluate and improve model performance in the Central Arctic: Unique perspectives from autonomous platforms during MOSAiC

gijs.deboer@colorado.edu

We are aiming to have data processing and QC completed by the end of Q1 2021 (though hopefully earlier).

Data collection was started on 23 March 2020 and completed on 26 July 2020. We anticipate data files will be ready for publication in Spring 2021.

DataHawk2 UAS A1-level Atmospheric and surface measurements from the University of Colorado DataHawk UAS deployed during the MOSAiC expedition 2020

The dataset files are not on the MCS. Files on the MCS are preliminary and will not be published.

ARCSS-Arctic System Science

Gijs de Boer, Brain Argrow, Dale Lawrence, John Cassano

Analysis to evaluate and improve model performance in the Central Arctic: Unique perspectives from autonomous platforms during MOSAiC

gijs.deboer@colorado.edu

We are aiming to have data processing and QC completed by the end of Q1 2021 (though hopefully earlier).

Data collection was started on 23 March 2020 and completed on 26 July 2020. We anticipate data files will be ready for publication in Spring 2021.

DataHawk2 UAS B1-level (quality controlled) Atmospheric and surface measurements from the University of Colorado DataHawk UAS deployed during the MOSAiC expedition 2020

The dataset files are not on the MCS. Files on the MCS are preliminary and will not be published.

ARCSS-Arctic System Science

Gijs de Boer, Brain Argrow, Dale Lawrence, John Cassano

Analysis to evaluate and improve model performance in the Central Arctic: Unique perspectives from autonomous platforms during MOSAiC

gijs.deboer@colorado.edu

We are aiming to have data processing and QC completed by the end of Q1 2021 (though hopefully earlier).

Data collection was started on 25 June 2020 and completed on 6 August 2020. We anticipate data files will be ready for publication in Spring 2021.

HELiX UAS A1-level Atmospheric and surface measurements from the University of Colorado HELiX UAS deployed during the MOSAiC expedition 2020

The dataset files are not on the MCS. Files on the MCS are preliminary and will not be published.

ARCSS-Arctic System Science

Gijs de Boer, Brain Argrow, Dale Lawrence, John Cassano

Analysis to evaluate and improve model performance in the Central Arctic: Unique perspectives from autonomous platforms during MOSAiC

gijs.deboer@colorado.edu

We are aiming to have data processing and QC completed by the end of Q1 2021 (though hopefully earlier).

Data collection was started on 25 June 2020 and completed on 6 August 2020. We anticipate data files will be ready for publication in Spring 2021.

HELiX UAS B1-level (quality controlled) Atmospheric and surface measurements from the University of Colorado DataHawk UAV deployed during the MOSAiC expedition 2020

The dataset files are not on the MCS. Files on the MCS are preliminary and will not be published.

ARCSS-Arctic System Science

Gijs de Boer, Brain Argrow, Dale Lawrence, John Cassano

Analysis to evaluate and improve model performance in the Central Arctic: Unique perspectives from autonomous platforms during MOSAiC

gijs.deboer@colorado.edu

We are aiming to have data processing and QC completed by the end of Q1 2021 (though hopefully earlier).

Data collection was started on 25 June 2020 and completed on 6 August 2020. We anticipate data files will be ready for publication in Spring 2021.

HELiX UAS Orthomosaic imagery from the University of Colorado HELiX UAS deployed during the MOSAiC expedition 2020

The dataset files are not on the MCS. Files on the MCS are preliminary and will not be published.

ARCSS-Arctic System Science

Parameterizing sub-grid Arctic snow-on-sea-ice processes in Earth System Models using MOSAiC field observations and realistic-resolution process models

glen.liston@colostate.edu

The model-output datasets mentioned in our proposal are still about 2 years away from being created; in fact, the models are still under development. The reality is that I won’t know for another 2 years whether we have any model outputs worth archiving, or how large the resulting datasets will be.

In the meantime, my project is responsible for archiving all the MagnaProbe snow depth transect data that was collected near the ship during the MOSAiC field campaign, by my project and other international researchers and projects. These data will be first archived in the PANGAEA repository and, as part of that, those data will be directly linked to the other PANGAEA transect datasets (e.g., GEM-2, SMP, SWE) that are intimately related to the MagnaProbe transect data (i.e., all of these datasets need to be somehow connected to each other; if they are independent and don’t point to each other, they are worthless to most projects).

The complete MagnaProbe dataset is small. I don’t have an exact size yet, but it will be something like 100 MB, or less.

Our cleanup, documentation, and submission of the MagnaProbe data to PANGAEA should be complete in the next several weeks. When that is done, you should be able to create your duplicate of those data or whatever you require for the NSF archive.

The model-output datasets mentioned in our proposal are still about 2 years away from being created; in fact, the models are still under development. The reality is that I won’t know for another 2 years whether we have any model outputs worth archiving, or how large the resulting datasets will be.

Pangaea -> Arctic Data Center (metadata + data)

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

Mesozooplankton carbon and nitrogen content and morphometric body size measurements collected during the MOSAiC expedition 2019-2020.

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

In the meantime, my project is responsible for archiving all the MagnaProbe snow depth transect data that was collected near the ship during the MOSAiC field campaign, by my project and other international researchers and projects. These data will be first archived in the PANGAEA repository and, as part of that, those data will be directly linked to the other PANGAEA transect datasets (e.g., GEM-2, SMP, SWE) that are intimately related to the MagnaProbe transect data (i.e., all of these datasets need to be somehow connected to each other; if they are independent and don’t point to each other, they are worthless to most projects).

Microscopic images of mesozooplankton collected during the MOSAiC expedition 2019-2020.

We hope to consolidate them before any transfer since they are in multiple different locations in the MCS.

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

Mesozooplankton feeding rates measured in laboratory experiments during the MOSAiC expedition 2019-2020.

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

The complete MagnaProbe dataset is small. I don’t have an exact size yet, but it will be something like 100 MB, or less.

Abundance of small mesozooplankton in the upper 200 m collected with a 53-µm mesh net during the MOSAiC expedition 2019-2020.

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

Egg production rates of Calanus hyperboreus and C. glacialis measured in laboratory experiments during the MOSAiC expedition 2019-2020.

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

Our cleanup, documentation, and submission of the MagnaProbe data to PANGAEA should be complete in the next several weeks. When that is done, you should be able to create your duplicate of those data or whatever you require for the NSF archive.

Mesozooplankton respiration rates measured in laboratory experiments during the MOSAiC expedition 2019-2020.

ARCSS-Arctic System Science

Collaborative Research: The Role of Planktonic Lower Trophic Levels in Carbon and Nitrogen Transformations in the Central Arctic, a MOSAiC proposal

8S ribosomal DNA paired-end reads sequenced from copepod guts collected during the MOSAiC expedition 2019-2020.

ARCSS-Arctic System Science

Collaborative Research: Defining the atmospheric deposition of trace elements into the Arctic ocean-ice ecosystem during the year-long MOSAiC ice drift

clifton.buck@skio.uga.edu

Bulk Aerosol Trace Element Concentrations, samples collected from aerosol sampler: buck_hivol1, deployed during MOSAiC Legs 2 + 3 2019-2020.

/isibhv/platforms/vessel/polarstern/buck_hivol1/exdata

ARCSS-Arctic System Science

Collaborative Research: Defining the atmospheric deposition of trace elements into the Arctic ocean-ice ecosystem during the year-long MOSAiC ice drift

clifton.buck@skio.uga.edu

Size Fractionated Aerosol Trace Element Concentrations, samples collected from aerosol sampler: buck_hivol2, deployed during MOSAiC Legs 2 + 3 2019-2020.

/isibhv/platforms/vessel/polarstern/buck_hivol2/exdata

ARCSS-Arctic System Science