Ice Coverage is measured by the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) onboard NASA's Aqua spacecraft.

Ice Coverage is measured by the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) onboard NASA's Aqua spacecraft.

Reynolds, et al.(2007) Daily High-resolution Blended Analyses. Background information available at http://dss.ucar.edu/datasets/ds277.7/docs/daily-sst.pdf. Climatology is based on 1971-2000 OI.v2 SST, Satellite data: AMSR Navy NOAA17 NOAA18 AVHRR, Ice data: NCEP ice.

Reynolds, et al.(2007) Daily High-resolution Blended Analyses. Background information is available at http://dss.ucar.edu/datasets/ds277.7/docs/daily-sst.pdf. Climatology is based on 1971-2000 OI.v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: GSFC ice.

This record contains two-weekly minimum sea ice concentration images of the Canadian Beaufort Sea at 1.1 km resolution. The dataset originated from the Canadian Ice Service (CIS) Digital Archive weekly regional charts for the western Arctic (See “additional credit” for a link to these data), created by synthesis of remotely-sensed, ship and airborne observations (Fequet, 2005). These vector ice charts were gridded at 1.1 km resolution and aggregated into two-week composites by calculating the minimum sea-ice concentration at each grid cell over each two-week interval in each year. Week numbers were defined using the ISO 8601 convention, and sea-ice concentration isrepresented in tenths (with 0/10 corresponding to an ice-free pixel, ranging to 10/10 corresponding to 100% pixel coverage with sea-ice). The result is 12 composite images per year in 1998 through 2020 (23 years), corresponding to https://open.canada.ca/data/en/dataset/ee27e86f-7b18-4e3f-8444-0c5efb6110a4. For further details, see Galley et al., 2022.

This dataset presents monthly gridded sea ice and ocean parameters for the Arctic derived from the European Space Agency's satellite CryoSat-2. Parameters include sea ice freeboard, sea ice thickness, sea ice surface roughness, mean sea surface height, sea level anomaly, and geostrophic circulation. Data are provided as monthly grids with a resolution of 25 km, mapped onto the NSIDC EASE2-Grid, covering the Arctic region north of 50 degrees latitude, for all winter months (Oct-Apr) between 2010 and 2018. CryoSat-2 Level 1b Baseline C observed waveforms have been retracked using a numerical model for the SAR altimeter backscattered echo from snow-covered sea ice presented in Landy et al. (2019), which offers a sophisticated physically-based treatment of the effect of ice surface roughness on retracked ice and ocean elevations. Methods for optimizing echo model fits to observed CryoSat-2 waveforms, retracking waveforms, classifying returns, deriving sea ice freeboard, and converting to thickness are detailed in Landy et al. (In Review). This dataset contains derived sea ice thicknesses from two processing chains, the first using the conventional snow depth and density climatology from Warren et al. (1999) and the second using reanalysis and model-based snow data from SnowModel (Stroeve et al., In Review). Sea surface height and ocean topography grids were derived from only those CryoSat-2 samples classified as leads. Both the random and systematic uncertainties relevant for each parameter have been carefully estimated and are provided in the data files. NetCDF files contain detailed descriptions of each derived parameter. Funding was provided by ESA Living Planet Fellowship Arctic-SummIT grant ESA/4000125582/18/I-NS and NERC Project PRE-MELT grant NE/T000546/1.

Arctic sea surface salinity retrieved from SMOS, spatial resolution 0.25 deg (EASE grid 2.0), temporal resolution 9-day maps generated daily. The product contains the following data: i) sea surface salinity (p.s.u), ii) sea surface salinity uncertainty (p.s.u), and iii) sea surface salinity anomaly (p.s.u): difference between sea surface salinity provided by SSS field and the annual sea surface salinity provided by WOA 2018 A5B7. Product version 3.1. The product will be freely distributed at the BEC webpage http://bec.icm.csic.es and at the project webpage https://arcticsalinity.argans.co.uk.

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.

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.

Gridded product containing a spatial interpolation of the point product onto a uniform grid of elevation and uncertainty. The gridded product is published on a monthly basis with one product per region on a 2km grid in polar stereographic coordinates. The monthly product contains 3 months of data on a rolling basis each month and uses the Thematic point product as its input. For example, the January 2020 gridded product will contain point data for a window starting on 1st December 2019 and ending on 29th February 2020.