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12 results for “Marginal ice zone”
A data repository for: Changing phytoplankton phenology in the marginal ice zone west of the Antarctic Peninsula
<p>This data repository is a permanent archive of the results presented in the associated publication (Turner et al. 2024, Marine Ecology Progress Series, <a href="https://doi.org/10.3354/meps14567">https://doi.org/10.3354/meps14567</a>). The objective of this study was to investigate phytoplankton phenology patterns west of the Antarctic Peninsula using satellite ocean color remote sensing data. This dataset extends from 80<sup>o</sup>W to 55<sup>o</sup>W longitude and from 70<sup>o</sup>S to 60<sup>o</sup>S latitude. The data span the time period September 1997 through August 2022. This dataset includes the data and code used to create the figures in the publication. The data in this repository include chlorophyll-a concentration (Chl-a), dates of phytoplankton bloom start date and phytoplankton bloom peak date, photosynthetically active radiation (PAR), sea surface temperature (SST), wind speed, and dates of sea ice retreat and advance. Downloaded spatially-subsetted data files are included as netCDF files (extension .nc) compressed into .zip archives. Additional files used to perform the analyses and make the figures are included as MATLAB scripts and MATLAB data files (extensions .m and .mat, respectively). </p> <p>Recommended citation:</p> <p>Turner, Jessica S., (2024) A data repository for: Changing phytoplankton phenology in the marginal ice zone west of the Antarctic Peninsula. Zenodo. https://doi.org/10.5281/zenodo.10790613</p>
Climatological maps of sea ice variability for the Antarctic marginal ice zone
<p>Monthly climatologies of a statistical indicator of sea ice variability computed from daily maps of sea ice concentration (SIC) from satellites (Vichi, 2022). The sigma_SIA indicator is based on the standard deviation of SIC daily anomalies computed over<br> the monthly time scales, using a monthly climatology over the period 1989-2019 as the baseline. The analysis starts from year 1989 since before that period data were every second day.</p> <p><strong>Please use the most updated version of this dataset and cite the main DOI unless required</strong></p> <p>The following files have been derived from NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 (<a href="https://doi.org/10.7265/efmz-2t65">https://doi.org/10.7265/efmz-2t65</a> and used in Vichi (2022). The code to produce them is available at the following repository <a href="https://github.com/mvichi/antarcticMIZ">https://github.com/mvichi/antarcticMIZ</a> (<a href="https://doi.org/10.25375/uct.21103363">DOI:10.25375/uct.21103363</a>) </p> <ol> <li><strong>NSIDC_cdr_clim_m_sigmaSIA.nc</strong>: Climatological monthly sigma_SIA (climatological 'pooled' monthly std of daily anomaly) from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration</li> <li><strong>NSIDC_cdr_clim_m_maskMIZ.nc</strong>: Climatological mask of the MIZ extent using a sigma_SIA>0.1 criterion</li> <li><strong>NSIDC_cdr_clim_m_sigmaSIA_exceedance.nc</strong>: Climatological probability maps of exceeding sigma_SIA>0.1 and sigma_SIA>0.2</li> <li><strong>NSIDC_cdr_m_sigmaSIA.nc</strong>: Monthly sigma_SIA from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration. Please note that file 1 above is not the climatology obtained from this file.</li> </ol> <p>NetCDF files 1-3 contain 12 monthly arrays with the climatological sigma_SIA computed over the period 1989-2019. Please note that the indicator in these file is in % of SIC, while in the original paper it is presented in fractional units.</p> <p>File 4 has 396 records for all the months in the analyzed period. The units are fractional as in Vichi (2022).</p> <p><strong>Reference</strong></p> <p>Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, 16, 4087–4106, <a href="https://doi.org/10.5194/tc-16-4087-2022">https://doi.org/10.5194/tc-16-4087-2022</a>, 2022.</p>
Climate Record of Wintertime Wave-Affected Marginal Ice Zones in the Atlantic Arctic based on CryoSat-2,2010-2022
<p>This record contains data related to article "A 12-Year Climate Record of Wintertime Wave-Affected Marginal Ice Zones in the Atlantic Arctic based on CryoSat-2 ". Wave-affected marginal ice zone (MIZ) is an integral part of the sea ice cover, and a key region for air-ice-sea interactions in polar regions. We develop a novel retrieval algorithm for wave-affected MIZs based on the delay-Doppler radar altimeter onboard CryoSat-2 (CS2). CS2 waveform power and the waveform stack statistics are used to determine the MIZ locations. Based on the CS2 data since 2010, we generate a record of wave-affected MIZs in the Atlantic Arctic, spanning 12 winters between 2010 and 2022.</p> <p>The dataset contains two parts. First, the txt file contains retrieved MIZ locations obtained from each single track. Each column of data is represented by the corresponding CS2 product name, year, month, day, hour, regional flag (1:GS region,2:NS region,3:BS region), the start longitude and latitude of the marginal ice zone on each track, the end longitude and latitude of the marginal ice zone.</p> <p>Second,the gridded dataset is based on the along-track MIZ retrieval results, and it records the presence of the MIZ on the monthly basis. The latitude-longitude grid is adopted, with 2 degrees of longitude spacing and 1 degree of latitude spacing. Each file contains the following variables: the time, the MIZ flag, and the location flag. In this new version, we provide files in both NetCDF and GeoTIFF formats for users to download.</p>
Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Winter 2019
<p>This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Winter 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based. </p>
Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Spring 2019
<p>This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Spring 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based. </p>
Direct observations of wave-sea ice interactions in the Antarctic Marginal Ice Zone
<p>These are the data used in the analysis and creation of figures in S. Wahlgren, L.C. Biddle, J. Thomson and S. Swart: <em><strong>Direct observations of wave-sea ice interactions in the Antarctic Marginal Ice Zone</strong> </em>[Submitted]. Preprint: https://doi.org/10.22541/essoar.168201718.84053333/v1</p> <p>Abstract:</p> <p>Wave energy propagating into the Antarctic marginal ice zone affects the quality and extent of the sea ice, and wave propagation is therefore an important factor for understanding and predicting changes in sea ice cover. Sea ice is notoriously hard to model and in-situ observations of wave activity in the Antarctic marginal ice zone are scarce, due to the extreme conditions of the region. Here, we provide new in-situ data from two drifting Surface Wave Instrument Float with Tracking (SWIFT) buoys deployed in the Weddell Sea in the austral winter and spring in 2019. The buoy location ranges from open water to more than 200 km into the sea ice. We estimate the attenuation of swell with wave periods 8-18 s, and find an attenuation coefficient <em>α = </em>4·10<sup>-6</sup> to 7·10<sup>-5</sup> m<sup>-1</sup> in spring, and approximately five-fold larger in winter. The attenuation coefficients show a power law frequency dependence, with power coefficient 3.3 in spring and 4 in winter. The in-situ data also shows a change in wave direction, where wave direction tends to be more perpendicular to the ice edge farther into the sea ice. A possible explanation for this might be a change in the dispersion relation caused by changing sea ice composition. These observations can help shed further light on the influence of sea ice on waves propagating into the Marginal Ice Zone, aiding development of coupled wave-sea ice models.</p> <p><strong>Related code: </strong> The accompanying code can be found at <strong> </strong>https://github.com/stinawahlgren/roammiz-wave-seaice-interactions. SWIFT buoy data has been processed using https://github.com/SASlabgroup/SWIFT-codes.</p>
Ocean Microstructure measurements using a Slocum glider in the Southern Ocean Marginal Ice Zone
<p>Ocean microstructure data were collected using a turbulence package mounted on a Slocum and deployed from RV SA Agulhas II in the North Eastern Weddell Sea, [60S; 0E], from December 2019 to February 2020. Observations conducted by the Southern Ocean Carbon-Climate Observatory, Smart Places, CSIR, for the project "Contemporary and Future Drivers of CO2 and Heat in the Southern Ocean" funded by NRF-SANAP (SNA170522231782, SANAP200324510487) and in collaboration with Polar Gliders, University of Gothenburg (Project: "Robotic Observations and Modelling of the Marginal Ice Zone" funded by the Wallenberg Academy Fellowship (WAF 2015.0186). Turbulence data were collected using a Rockland Scientific MicroRider mounted on the SLOCUM. Microshear was measured using two airfoil shear probes oriented orthogonally to each other. The measurements are from a 47 days of dive and climb profiles, with a maximum depth of 500 m. The dataset is processed and prepared following the SCOR Working Group ATOMIX guidelines and recommendations. The provided file includes daily arithmetic means of the dissipation rate of turbulent kinetic energy derived from the microrider measurements. Temperature, salinity, latitude and longitude were taken from the Slocum glider.</p>
Sea-ice, primary productivity and ocean temperatures at the Antarctic marginal zone during late Pleistocene
<p>These data in excel refer to all proxies used to reconstruct late Quaternary sea ice and productivity in in cape Adare, Ross Sea, Antarctica, for the publication in Quaternary Science Reviews, for open access </p>
Data for figures in Model predictions of wave overwash extent into the marginal ice zone
<p>The data required to reproduce the figures in 'Model predictions of wave overwash extent into the marginal ice zone'.</p> <p>The data includes:</p> <ul> <li>Coefficient values produced by coupled floe-wave motions, required to determine overwash of a single floe and thus the overwash extent model.</li> <li>The data for the transects used to predict overwash in Figure 11 (Agulhas II), includes wave conditions and the ice concentration along the transect (other floe field properties remains constant).</li> </ul> <p>The code is uploaded at - </p> <pre>https://doi.org/10.5281/zenodo.7059554</pre>
Dataset for the paper: Factors influencing sea-ice algae abundance, community composition, and distribution in the marginal ice zone of the Southern Ocean during winter.
<p>Dataset for the paper: Factors influencing sea-ice algae abundance, community composition, and distribution in the marginal ice zone of the Southern Ocean during winter. </p> <p> </p>
Marginal Ice Zone 2014 Field Campaign, Version 1
This data set contains ocean temperature, salinity, and wave data collected during a research initiative with the goal of understanding the physics that control sea ice breakup and melt in and around the sea ice edge. It was conducted by the U.S. Office of Naval Research (ONR) Marginal Ice Zone Departmental Research Initiative (DRI) program to better understand the atmosphere-ice-ocean interactions that are taking place as ice in the Beaufort Sea retreats in summer and a seasonal marginal ice zone (MIZ) evolves. The field program took place in the summer of 2014.
U.S. National Ice Center Daily Marginal Ice Zone Products, Version 1
The marginal ice zone (MIZ) is defined by the World Meteorological Organization (WMO) as “the region of an ice cover which is affected by waves and swell penetrating into the ice from the open ocean” (WMO, 2014). This data product is a U.S. National Ice Center (USNIC) rendering of the MIZ as the band of ice in concentrations between 1/10 and 8/10, or about 10% to 80% concentration, that surrounds Arctic and Antarctic pack ice with higher concentrations. The time series begins in September 2004 for the Arctic and January 2010 for the Antarctic.
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