Dataset Open Access
ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries
Kern, Stefan
MARC21 XML Export
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<subfield code="a">- The snow depths used to convert the altimetric freeboard estimates into sea-ice thickness reflect climatological conditions; it is likely that the influence of inter-annual variation in snow depth on the freeboard-to-thickness conversion are not adequately represented.
- Users are recommended to carefully read the documentation of this data set to understand the limitations arising from the required interpolation of sea-ice thickness and sea-ice concentration values across the observational data gap around the North Pole.
- Users are recommended to read the paper describing freeboard estimation and freeboard-to-thickness conversion methodologies that apply to the product: Paul, et al., The Cryosphere, 12(7), https://doi.org/10.5194/tc-12-2437-2018
- A similar sea-ice volume data set has been derived for the Antarctic. It covers all months of the same period, i.e. years 2002-2017, but is less accurate than in the Arctic due to limitations in the freeboard retrieval; interested users can contact Stefan Kern to obtain this data set.</subfield>
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<subfield code="a"><p><strong>Abstract:</strong> ESA-CCI sea-ice-ecv phase2 project Envisat and CryoSat-2 monthly mean gridded Arctic sea-ice thickness and uncertainty estimates are combined with daily gridded Arctic satellite passive microwave sea-ice concentration observations and their uncertainties using the SICCI-2 algorithm derived within the same project to obtain an estimate of the Arctic Ocean monthly mean sea-ice volume during winter (October through April). The observational data gap centred at the pole is filled via interpolation as described in the retrieval report: <a href="https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf">https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf</a>. This report does also describe how uncertainties are estimated, and how the Envisat data are bias-corrected with respect to the CryoSat-2 data. The NSIDC sector Arctic Ocean can be viewed, e.g. from the following netCDF file <a href="https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/icdc_Bilder/asi_sic/NSIDC-25km-grid__Arctic-SeaIceOutlook_region_masks__GridCellArea__UHAM-ICDC__fv0.01.nc">https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/icdc_Bilder/asi_sic/NSIDC-25km-grid__Arctic-SeaIceOutlook_region_masks__GridCellArea__UHAM-ICDC__fv0.01.nc</a> or <a href="https://www.arcus.org/files/page/documents/28201/sio_mask.nc">https://www.arcus.org/files/page/documents/28201/sio_mask.nc</a>.</p>
<p><strong>Table of contents:</strong> sea ice volume; sea ice volume retrieval error</p>
<p><strong>Technical Info:</strong> dimension: 105 rows resulting from 15 winters times seven months (October through April); temporalExtent_startDate: 2002-10-01; temporalExtent_endDate: 2017-04-30; temporalResolution: monthly; spatialResolution: none; spatialResolutionUnit: none; horizontalResolutionXdirection: none; horizontalResolutionXdirectionUnit: none; horizontalResolutionYdirection: none; horizontalResolutionYdirectionUnit: none; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: SIRAL, RA-2; instrumentType: radar altimeter; instrumentLocation: Environmental Satellite (Envisat), CryoSat-2; instrumentProvider: various, ESA&nbsp;</p>
<p><strong>Methods:</strong> <a href="https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf">https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf</a>.</p>
<p><strong>Units:</strong> km<sup>3</sup>; km<sup>3</sup></p>
<p><strong>geoLocations: </strong>westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 60.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Arctic Ocean</p>
<p><strong>Size:</strong> 1 file with three semikolon-separated columns; 105 rows</p>
<p><strong>Format:</strong> ascii text</p>
<p><strong>DataSources: </strong></p>
<p><a href="http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180">http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180</a> (last accessed: 2018-05-20)</p>
<p><a href="http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2">http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2</a> (last accessed: 2018-05-20)</p>
<p><a href="https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5">https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5</a> (last accessed: 2018-05-20)</p>
<p><a href="https://doi.org/10.15770/EUM_SAF_OSI_0008">https://doi.org/10.15770/EUM_SAF_OSI_0008</a> (last accessed: 2018-05-20)</p>
<p><strong>Contact:</strong> <a href="mailto:stefan.kern@uni-hamburg.de">stefan.kern (at) uni-hamburg.de</a></p>
<p><strong>Web page:</strong> <a href="https://icdc.cen.uni-hamburg.de/en/esa-cci-sea-ice-ecv0.html">https://icdc.cen.uni-hamburg.de/en/esa-cci-sea-ice-ecv0.html</a></p></subfield>
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- Publication date:
- January 14, 2021
- DOI:
-
- Keyword(s):
- Climate Marine cryosphere Arctic ocean Sea ice Satellite remote sensing Sea ice volume ESA-CCI SICCI ICDC
- Subject(s):
- Related identifiers:
- Derived from:
http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180, http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2, 10.5285/f17f146a31b14dfd960cde0874236ee5, 10.15770/EUM_SAF_OSI_0008 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International