Arctide2017 is a high-resolution tidal atlas of the Arctic Ocean. Developed by NOVELTIS, DTU Space and LEGOS, it combines altimeter data from ESA's Envisat and CryoSat satellites into the most complete dataset used in the Arctic region to estimate tidal information

The Arctic is warming more than twice as fast as the global average, making climate changess polar effects more intense than anywhere else in the world. The Arctic accounts for half of the organic carbon stored in soils. There is high confidence that the thaw of terrestrial permafrost will lead to carbon release, but only low confidence regarding timing, magnitude and relative role of CO2 versus CH4 according to the sixth assessment report of IPCC (2021). There is general consensus that these issues can be tackled through support by satellite observations, but this has not been fully exploited to date. The recently inaugurated Arctic Methane and Permafrost Challenge (AMPAC) strives to address these questions inter alia through making use of synergistic measurements, activities to improve satellite retrievals with a clear focus on high latitudes, and promoting new dedicated satellite sensors as well as improving validation of existing and upcoming satellite missions.

Point product containing a cloud of elevations with an associated uncertainty in geo spatial units. The thematic point product is published on a monthly basis once the Uncertainty calculation is complete.

Prior and posterior uncertainties of sea ice volume (SIV, columns 4-6) and snow volume (SNV, columns 7-9) respectively for three regions in km3. Column 1 indicates observation, column 2 indicates uncertainty range ("product" refers to uncertainty specification provided with product), column 3 indicates uncertainty range of additional hypothetical snow product ("-" means no snow product is used). In each of columns 4-9 the lowest uncertainty range is highlighted in bold face font. The two bottom rows give estimates for the uncertainty due to model error, i.e. the residual uncertainty with optimal control vector.

Estimates of these four freshwater fluxes: discharge from rivers; inflow through ice and melt run off; outflow of freshwater in sea ice; and in/outflow of freshwater through ocean currents.

1 km Greenland, daily, with cloud mask, geotiff at https://github.com/AdrienWehrle/SICE/tree/master/masks

Satellite LRM, SAR, SARIN polar altimeter product generated from Cryosat data by DTU Space

Quantitative multi-scale (temporal and spatial) understanding of sea ice, ocean and atmosphere interactive processes and their mutual feedback, focusing on four Arctic Scientific research Challenges- Arctic Amplification, open water on sea ice dynamics, impact of extreme event storms in sea-ice formation, Artcic ocean spin up

The study aimed at exploring, developing and validating different approaches to retrieve snow thickness over sea ice; to develop a new prototype processor; and to produce and validate an experimental dataset of snow thickness over the Arctic.

1 km Arctic regional land ice areas, daily, with cloud mask, geotiff at https://github.com/AdrienWehrle/SICE/tree/master/masks