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Year-round Arctic sea ice thickness from CryoSat-2 Baseline-D Level 1b observations 2010-2020

This dataset presents biweekly gridded sea ice thickness and uncertainty for the Arctic derived from the European Space Agency's satellite CryoSat-2. An associated 'developer's product' also includes intermediate parameters used or output in the sea ice thickness processing chain. Data are provided as biweekly grids with a resolution of 80 km, mapped onto a Northern Polar Stereographic Grid, covering the Arctic region north of 50 degrees latitude, for all months of the year between October 2010 and July 2020.





CryoSat-2 Level 1b Baseline-D observed radar waveforms have been retracked using two different approaches, one for the 'cold season' months of October-April and the second for 'melting season' months of May-September. The cold season retracking algorithm uses a numerical model for the SAR altimeter backscattered echo from snow-covered sea ice presented in Landy et al. (2019), which offers a physical treatment of the effect of ice surface roughness on retracked ice and ocean elevations. The method for optimizing echo model fits to observed CryoSat-2 waveforms, retracking waveforms, classifying returns, and deriving sea ice radar freeboard are detailed in Landy et al. (2020). The melting season retracking algorithm uses the SAMOSA+ analytical echo model with optimization to observed CryoSat-2 waveforms through the SARvatore (SAR Versatile Altimetric Toolkit for Ocean Research and Exploitation) service available through ESA Grid Processing on Demand (GPOD). The method for classifying radar returns and deriving sea ice radar freeboard in the melting season are detailed in Dawson et al. (2022).





The melting season sea ice radar freeboards require a correction for an electromagnetic range bias, as described in Landy et al. (2022). After applying the correction, year-round freeboards are converted to sea ice thickness using auxiliary satellite observations of the sea ice concentration and type, as well as snow depth and density estimates from a Lagrangian snow evolution scheme: SnowModel-LG (Stroeve et al., 2020; Liston et al., 2020). The sea ice thickness uncertainties have been estimated based on methods described in Landy et al. (2022). NetCDF files contain detailed descriptions of each parameter.





Funding was provided by the NERC PRE-MELT grant NE/T000546/1 and the ESA Living Planet Fellowship Arctic-SummIT grant ESA/4000125582/18/I-NS.

Simple

Date (Creation)
2022-02-28
Date (Revision)
2022-02-28
Date (Publication)
2022-02-28
Date (released)
2022-02-28
Edition

1.0

Unique resource identifier
https://doi.org/10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb
Codespace

doi

Unique resource identifier
GB/NERC/BAS/PDC/01613
Codespace

https://data.bas.ac.uk/

Unique resource identifier
NE/T000546/1
Codespace

award

Other citation details

Please cite this item as: Landy, J., & Dawson, G. (2022). Year-round Arctic sea ice thickness from CryoSat-2 Baseline-D Level 1b observations 2010-2020 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb

Credit

No credit.

Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role
University of Bristol Landy, Jack Author
University of Bristol Dawson, Geoffrey Author
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Point of contact
Maintenance and update frequency
As needed
Maintenance note
Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Cryosphere > Sea Ice > Ice Depth/Thickness
  • EARTH SCIENCE > Cryosphere > Sea Ice > Ice Extent
  • EARTH SCIENCE > Cryosphere > Sea Ice > Ice Growth/Melt
  • EARTH SCIENCE > Cryosphere > Sea Ice > Ice Roughness
  • EARTH SCIENCE > Cryosphere > Sea Ice > Ice Types
  • EARTH SCIENCE > Cryosphere > Sea Ice > Leads
  • EARTH SCIENCE > Cryosphere > Sea Ice > Sea Ice Concentration
  • EARTH SCIENCE > Cryosphere > Sea Ice > Snow Depth
  • EARTH SCIENCE > Cryosphere > Sea Ice > Snow Melt
  • EARTH SCIENCE > Oceans > Sea Ice > Ice Depth/Thickness
  • EARTH SCIENCE > Oceans > Sea Ice > Ice Extent
  • EARTH SCIENCE > Oceans > Sea Ice > Ice Growth/Melt
  • EARTH SCIENCE > Oceans > Sea Ice > Ice Roughness
  • EARTH SCIENCE > Oceans > Sea Ice > Ice Types
  • EARTH SCIENCE > Oceans > Sea Ice > Leads
  • EARTH SCIENCE > Oceans > Sea Ice > Sea Ice Concentration
  • EARTH SCIENCE > Oceans > Sea Ice > Snow Depth
  • EARTH SCIENCE > Oceans > Sea Ice > Snow Melt
  • EARTH SCIENCE > Cryosphere > Sea Ice
  • EARTH SCIENCE > Oceans > Sea Ice
Theme
  • Arctic

  • CryoSat-2

  • sea ice

  • sea ice freeboard

  • sea ice thickness

Place
  • Arctic Ocean Arctic

GEMET - INSPIRE themes, version 1.0

  • Oceanographic geographical features
Access constraints
Other restrictions
Other constraints
no limitations to public access
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
License
Other constraints
Open Government Licence v3.0
Use constraints
Other restrictions
Other constraints

Data supplied under Open Government Licence v3.0



Please cite the indicated publications if using this dataset.

Use constraints
Other restrictions
Other constraints

No restrictions apply.

Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
url
Codespace

url

Association Type
Larger work citation
Unique resource identifier
url
Codespace

url

Association Type
Larger work citation
Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
  • Elevation
  • Geoscientific information
  • Oceans
N
S
E
W
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Begin date
2010-10-01
End date
2020-07-31
Supplemental Information

It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)
2008-11-12
Cited responsible party
Organisation name Individual name Electronic mail address Role

European Petroleum Survey Group

EPSGadministrator@iogp.org

Publisher
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version

6.18.3

Distributor

Distributor contact
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Distributor
Distributor format
Name Version
image/tiff
application/x-hdf
application/netcdf
Units of distribution

bytes

Transfer size
333237453
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d8c66670-57ad-44fc-8fef-942a46734ecb

Get Data

Units of distribution

bytes

Transfer size
333237453
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d8c66670-57ad-44fc-8fef-942a46734ecb

Get Data

Units of distribution

bytes

Transfer size
333237453
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d8c66670-57ad-44fc-8fef-942a46734ecb

Get Data

Hierarchy level
Dataset
Statement

Methodology:

The data is derived from CryoSat-2 Baseline-D Level 1b waveform observations over the Arctic, north of 50 degrees latitude, for 2010 to 2020.

Data collection:

European Space Agency's CryoSat-2.

Data quality:

NetCDF files were produced from the final gridded satellite observations and contain all associated metadata, or details about auxiliary datasets used in the processor. No smoothing or averaging was performed on the 80-km gridded sea ice thickness data. NetCDF files contain detailed descriptions of each derived parameter, both in the main sea ice thickness and developer's products.

Metadata

File identifier
d8c66670-57ad-44fc-8fef-942a46734ecb XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2022-02-28
Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

polardatacentre@bas.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

Arctic CryoSat-2 sea ice sea ice freeboard sea ice thickness
GEMET - INSPIRE themes, version 1.0

Oceanographic geographical features
Global Change Master Directory (GCMD) Science Keywords

EARTH SCIENCE > Cryosphere > Sea Ice EARTH SCIENCE > Cryosphere > Sea Ice > Ice Depth/Thickness EARTH SCIENCE > Cryosphere > Sea Ice > Ice Extent EARTH SCIENCE > Cryosphere > Sea Ice > Ice Growth/Melt EARTH SCIENCE > Cryosphere > Sea Ice > Ice Roughness EARTH SCIENCE > Cryosphere > Sea Ice > Ice Types EARTH SCIENCE > Cryosphere > Sea Ice > Leads EARTH SCIENCE > Cryosphere > Sea Ice > Sea Ice Concentration EARTH SCIENCE > Cryosphere > Sea Ice > Snow Depth EARTH SCIENCE > Cryosphere > Sea Ice > Snow Melt EARTH SCIENCE > Oceans > Sea Ice EARTH SCIENCE > Oceans > Sea Ice > Ice Depth/Thickness EARTH SCIENCE > Oceans > Sea Ice > Ice Extent EARTH SCIENCE > Oceans > Sea Ice > Ice Growth/Melt EARTH SCIENCE > Oceans > Sea Ice > Ice Roughness EARTH SCIENCE > Oceans > Sea Ice > Ice Types EARTH SCIENCE > Oceans > Sea Ice > Leads EARTH SCIENCE > Oceans > Sea Ice > Sea Ice Concentration EARTH SCIENCE > Oceans > Sea Ice > Snow Depth EARTH SCIENCE > Oceans > Sea Ice > Snow Melt


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