Released: Jan 2023 -> Access Data  /  Access Code

Daily-resolution pan-Arctic Radar and Laser Freeboard

This dataset contains daily-resolution pan-Arctic laser / radar freeboard and uncertainty estimates, created following the methodology outlined in Nab et al. (2023): "Synoptic variability in satellite altimeter-derived radar freeboard of Arctic sea ice"

The SM-LG snow depth data can be found at https://doi.org/10.5067/27A0P5M6LZBI.

The ERA5 snowfall, air temperature and wind speed data can be found at https://doi.org/10.24381/cds.adbb2d47

Released: Dec 2022 -> Access Data

MISR Arctic Sea Ice Roughness (2000-2020)

Swath and monthly gridded products available.

Released: Jan 2022 -> Access Data

Cryo-TEMPO: Thematic data products from CryoSat-2

First full mission release of thematic CS2 products for land ice, sea ice, polar oceans, processed at UCL on behalf of ESA and the Cryo-TEMPO consortium.

Released: Oct 2021 -> Access Data

Polar Ocean Surface Wave Height Data

CryoSat-2 Significant Wave Height in Polar Oceans Derived Using a Semi-Analytical Model of Synthetic Aperture Radar. Time coverage: 2011–2019. Reference: Heorton et al, 2021, https://doi.org/10.3390/rs13204166

Released: Feb 2021 -> Access Data

Dynamic Topography (West Antarctica)

Monthly fields of dynamic ocean topography (DOT) and geostrophic currents covering the West Antarctica region. Dotto et al. (2018) and Naveira Garbato et al. (2019)

Updated: Jan 2021 -> Access Data

Dynamic Topography

Updated in 2021 to cover the full CryoSat-2 time period and spatial coverage. The data consists of monthly fields of dynamic ocean topography (DOT) and geostrophic currents covering 60N to 81.5N. Armitage et al, 2016.

Updated: Dec 2020 -> Access Data

Arctic Melt Pond Fraction and Binary Classification, 2000-2020

This dataset provides Arctic monthly mean melt pond fractions and binary classification, from 2000-06-01 to 2020-08-31. Level-2 MODerate resolution Imaging Spectroradiometer (MODIS) top-of-the-atmosphere (TOA) reflectances for bands 1-4 were obtained, to which two machine learning algorithms such as multi-layer neural networks and logistic regression were applied to map melt pond fraction and binary melt pond/ice classification. This work was funded by NERC standard grant NE/R017123/1.

Released: Nov 2018 -> Access Data

Dual-altimeter Snow Thickness (DuST) Data

Data release relating to Lawrence et al 2018, Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards, https://doi.org/10.5194/tc-12-1791-2018

Released: May 2018 -> Access Data

CICE model data

Data release relating to Stroeve et al 2018, Warm winter, thin ice?, https://doi.org/10.5194/tc-12-1791-2018