ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries
Abstract: 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...
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Language: | English |
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Universität Hamburg
2021
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Online Access: | https://dx.doi.org/10.25592/uhhfdm.8507 https://www.fdr.uni-hamburg.de/record/8507 |
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ftdatacite:10.25592/uhhfdm.8507 |
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openpolar |
institution |
Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Climate Marine cryosphere Arctic ocean Sea ice Satellite remote sensing Sea ice volume ESA-CCI SICCI ICDC https//www.oecd.org/science/inno/38235147.pdf |
spellingShingle |
Climate Marine cryosphere Arctic ocean Sea ice Satellite remote sensing Sea ice volume ESA-CCI SICCI ICDC https//www.oecd.org/science/inno/38235147.pdf Kern, Stefan ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries |
topic_facet |
Climate Marine cryosphere Arctic ocean Sea ice Satellite remote sensing Sea ice volume ESA-CCI SICCI ICDC https//www.oecd.org/science/inno/38235147.pdf |
description |
Abstract: 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: https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf. 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 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 or https://www.arcus.org/files/page/documents/28201/sio_mask.nc. Table of contents: sea ice volume; sea ice volume retrieval error Technical Info: 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 Methods: https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf. Units: km 3 km 3 geoLocations: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 60.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Arctic Ocean Size: 1 file with three semikolon-separated columns; 105 rows Format: ascii text DataSources: http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180 (last accessed: 2018-05-20) http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2 (last accessed: 2018-05-20) https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5 (last accessed: 2018-05-20) https://doi.org/10.15770/EUM_SAF_OSI_0008 (last accessed: 2018-05-20) Contact: stefan.kern (at) uni-hamburg.de Web page: https://icdc.cen.uni-hamburg.de/en/esa-cci-sea-ice-ecv0.html : - 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. : {"references": ["Paul, et al., The Cryosphere, 12(7), https://doi.org/10.5194/tc-12-2437-2018", "Lavergne, et al., The Cryosphere, 13(1), https://doi.org/10.5194/tc-13-49-2019"]} |
format |
Dataset |
author |
Kern, Stefan |
author_facet |
Kern, Stefan |
author_sort |
Kern, Stefan |
title |
ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries |
title_short |
ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries |
title_full |
ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries |
title_fullStr |
ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries |
title_full_unstemmed |
ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries |
title_sort |
esa-sicci2 arctic ocean winter-time monthly sea-ice volume timeseries |
publisher |
Universität Hamburg |
publishDate |
2021 |
url |
https://dx.doi.org/10.25592/uhhfdm.8507 https://www.fdr.uni-hamburg.de/record/8507 |
geographic |
Antarctic Arctic Arctic Ocean North Pole The Antarctic |
geographic_facet |
Antarctic Arctic Arctic Ocean North Pole The Antarctic |
genre |
Antarc* Antarctic Arctic Arctic Ocean North Pole Sea ice |
genre_facet |
Antarc* Antarctic Arctic Arctic Ocean North Pole Sea ice |
op_relation |
http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180 http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2 http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180 http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2 https://dx.doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5 https://dx.doi.org/10.15770/eum_saf_osi_0008 https://dx.doi.org/10.25592/uhhfdm.8508 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.25592/uhhfdm.8507 https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5 https://doi.org/10.15770/eum_saf_osi_0008 https://doi.org/10.25592/uhhfdm.8508 |
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1766245150580801536 |
spelling |
ftdatacite:10.25592/uhhfdm.8507 2023-05-15T13:46:43+02:00 ESA-SICCI2 Arctic Ocean Winter-Time Monthly Sea-Ice Volume Timeseries Kern, Stefan 2021 https://dx.doi.org/10.25592/uhhfdm.8507 https://www.fdr.uni-hamburg.de/record/8507 en eng Universität Hamburg http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180 http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2 http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180 http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2 https://dx.doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5 https://dx.doi.org/10.15770/eum_saf_osi_0008 https://dx.doi.org/10.25592/uhhfdm.8508 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Climate Marine cryosphere Arctic ocean Sea ice Satellite remote sensing Sea ice volume ESA-CCI SICCI ICDC https//www.oecd.org/science/inno/38235147.pdf dataset Dataset 2021 ftdatacite https://doi.org/10.25592/uhhfdm.8507 https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5 https://doi.org/10.15770/eum_saf_osi_0008 https://doi.org/10.25592/uhhfdm.8508 2021-11-05T12:55:41Z Abstract: 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: https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf. 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 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 or https://www.arcus.org/files/page/documents/28201/sio_mask.nc. Table of contents: sea ice volume; sea ice volume retrieval error Technical Info: 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 Methods: https://icdc.cen.uni-hamburg.de/fileadmin/user_upload/ESA_Sea-Ice-ECV_Phase2/SICCI_Phase2_SIV-Retrieval_Report_v02.pdf. Units: km 3 km 3 geoLocations: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 60.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Arctic Ocean Size: 1 file with three semikolon-separated columns; 105 rows Format: ascii text DataSources: http://catalogue.ceda.ac.uk/uuid/f4c34f4f0f1d4d0da06d771f6972f180 (last accessed: 2018-05-20) http://catalogue.ceda.ac.uk/uuid/ff79d140824f42dd92b204b4f1e9e7c2 (last accessed: 2018-05-20) https://doi.org/10.5285/f17f146a31b14dfd960cde0874236ee5 (last accessed: 2018-05-20) https://doi.org/10.15770/EUM_SAF_OSI_0008 (last accessed: 2018-05-20) Contact: stefan.kern (at) uni-hamburg.de Web page: https://icdc.cen.uni-hamburg.de/en/esa-cci-sea-ice-ecv0.html : - 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. : {"references": ["Paul, et al., The Cryosphere, 12(7), https://doi.org/10.5194/tc-12-2437-2018", "Lavergne, et al., The Cryosphere, 13(1), https://doi.org/10.5194/tc-13-49-2019"]} Dataset Antarc* Antarctic Arctic Arctic Ocean North Pole Sea ice DataCite Metadata Store (German National Library of Science and Technology) Antarctic Arctic Arctic Ocean North Pole The Antarctic |