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Description

This data set contains estimates of Arctic sea ice thickness and concentration, ice freeboard and surface roughness, as well as snow density and depth, derived from the ESA CryoSat-2 Synthetic Aperture Interferometric Radar Altimeter (SIRAL). The data are provided daily on a 25 km grid as 30-day averages for the months between September and May.

Version Description

Initial release

Product Summary

Platforms
CRYOSAT-2 ,
DMSP 5D-3/F17
Instruments
SIRAL ,
SSMIS
Projects
MULTI_NASA
Spatial Extent

N: 90 S: 55 E: 180 W: -180

Spatial Resolution
25 Kilometers x 25 Kilometers
Spatial Reference System(s)
WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413)
Location
ARCTIC
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2010-09-20 to 2025-05-15
Temporal Resolution
1 Day
Concept ID
C3205181648-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
3301
Processing Level
4
Published
Science Keywords
Freeboard ,
Ice Depth/Thickness ,
Ice Roughness ,
Sea Ice Concentration ,
Snow Density ,
Snow Depth

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Kurtz, N., & Harbeck, J. (2017). CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness, Version 1 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/96JO0KIFDAS8 Date Accessed: 2026-10-02

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
A snow depth model for Arctic sea ice from ICESat-2 and CryoSat-2 freeboards.
  • Liu, Xin, Huang, Ziqian, Yin, Gaoying, Li, Hui, Gao, Jinggui, Guo, Jinyun
A numerical sensitivity study on the snow-darkening effect by black carbon deposition over the Arctic in spring
  • Zhang, Zilu, Zhou, Libo, Zhang, Meigen
Regime-dependence when constraining a sea ice model with observations: lessons from a single-column perspective
  • Wieringa, Molly M., Bitz, Cecilia M.
Spire Near-nadir GNSS-R for Sea Ice Detection: First Results
  • Li, Ming, Zhang, Jiahua, Weiss, Jan-Peter, Braun, John J., Gullotta, William, Sleziak-Sallee, Maggie
Incremental route planning based on daily risk assessment for Arctic navigation
  • Wang, Bo, Liu, Yuanmin, Dai, Wen, Li, Jixuan
Four-dimensional variational data assimilation with a sea-ice thickness emulator
  • Durand, Charlotte, Finn, Tobias Sebastian, Farchi, Alban, Bocquet, Marc, Brajard, Julien, Bertino, Laurent
CMIP6 models overestimate sea ice melt, growth and conduction relative to ice mass balance buoy estimates
  • West, Alex E., Blockley, Edward W.
To what extent do sea-ice algae affect the modelled transmittance of photosynthetically active radiation (PAR) to the ice-ocean interface?
  • Redmond Roche, Benjamin H., King, Martin D.
Characteristics of late summer Arctic brash sea ice and its melting effect on the surface-water biogeochemistry of the Chukchi Shelf and Canada Basin
  • Akino, Ryota, Nomura, Daiki, Sahashi, Reishi, Tozawa, Manami, Hatta, Mariko, Matsuno, Kohei, Endo, Wakana, Shiozaki, Takuhei, Kawakami, Tatsuya, Ito, Masato, Murata, Akihiko, Fujiwara, Amane
Calculations of Arctic ice-ocean interface photosynthetically active radiation (PAR) transmittance values
  • Redmond Roche, B. H., King, M. D.
Estimation of the AMSR2 Data Potential to Retrieve the Arctic Sea Ice Thickness
  • Zabolotskikh, E. V., Azarov, S. M., Stokoz, A., Yarusov, K. I.
An Ocean Acoustic Modeling Based on the Physical Parameters Clustering of the Arctic Ice Floes: Applied to the Study of Acoustic Field Response as Ice Floes ...
  • Lu, Can, Xu, Jian, Zhang, Xuefeng, Wang, Zichen, Jin, Kangkang
Short- and Mid-Term Forecasting of Pan-Arctic Sea Ice Volume Using Variational Mode Decomposition and Bidirectional Long Short-Term Memory
  • Ahajjam, Aymane, Putkonen, Jaakko, Pasch, Timothy J., Zhu, Xun
Spatio-temporal Analyses of Sea Ice Conditions over Two Seas of Arctic Ocean
  • Panicker, Dency V., Vachharajani, Bhasha, Srivastava, Rohit
Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter
  • Dong, Zhaoqing, Shi, Lijian, Lin, Mingsen, Jia, Yongjun, Zeng, Tao, Wu, Suhui
New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea
Unprecedented Arctic sea ice thickness loss and multiyear-ice volume
  • Li, Xuewei, Yang, Qinghua, Yu, Lejiang, Holland, Paul R, Min, Chao, Mu, Longjiang, Chen, Dake
On the determination and rank for the environmental risk aspects for ship navigating in the Arctic based on big Earth data
  • Liu, Yang, Ma, Xiaoxue, Qiao, Weiliang, Han, Bing
A Preliminary Investigation of Arctic Sea Ice Negative Freeboard from in-situ Observations and Radar Altimetry
  • Li, Shutong, Dou, Tingfeng, Xiao, Cunde
Snow and ice thicknesses derived from Fast Ice Prediction System Version 2.0 (FIPS V2.0) in Prydz Bay, East Antarctica: comparison with in-situ observations
  • Zhao, Jiechen, Cheng, Jingjing, Tian, Zhongxiang, Han, Xiaopeng, Shen, Hui, Hao, Guanghua, Guo, Honglin, Shu, Qi
Evolution of sea ice thickness over various seas of the Arctic Region for the years 201213 and 201819
  • Panicker, Dency V., Vachharajani, Bhasha, Ram Rajak, D.
Winter Arctic sea ice thickness from ICESat2 freeboards
  • Petty, Alek A., Kurtz, Nathan T., Kwok, Ron, Markus, Thorsten, Neumann, Thomas A.
Assessment of High-Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application
  • Fritzner, Sindre, Graversen, Rune, Christensen, Kai H.
A Year-Round Subseasonal-to-Seasonal Sea Ice Prediction Portal
  • Wayand, N. E., Bitz, C. M., BlanchardWrigglesworth, E.
Spatial and Temporal Variations in the Extent and Thickness of Arctic Landfast Ice
  • Li, Zixuan, Zhao, Jiechen, Su, Jie, Li, Chunhua, Cheng, Bin, Hui, Fengming, Yang, Qinghua, Shi, Lijuan
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