This table contains the sub-canopy meteorological data collected by HYD-3.

Contains surface meteorology data merged/interpolated from four BOREAS sites for the years 1994, 1995, and 1996.

Contains 5-day averages of hourly and daily data from 23 meteorological stations across Canada along with full-resolution upper air measurements from 1 station in The Pas, Manitoba.

This sea ice concentration data set was derived using measurements from the Scanning Multichannel Microwave Radiometer (SMMR) on the Nimbus-7 satellite and from the Special Sensor Microwave/Imager (SSM/I) sensors on the Defense Meteorological Satellite Program's (DMSP) -F8, -F11, and -F13 satellites. Measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP-F17 are also included. The data set has been generated using the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) Bootstrap Algorithm with daily varying tie-points. Daily (every other day prior to July 1987) and monthly data are available for both the north and south polar regions. Data are gridded on the SSM/I polar stereographic grid (25 x 25 km) and provided in two-byte integer format. Data coverage began on 01 November 1978 and is ongoing through the most current processing, with updated data processed several times annually.

The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Geophysical Data Record (OGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally.
The operational radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. They were processed using the onboard DORIS orbit ephemeris and preliminary calibrations. They are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.

The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally.
The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days.

The VNP10_NRT is Near Real Time (NRT) VIIRS/NPP Snow Cover 6-Min L2 Swath 375m data set which reports the location of snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (SNPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens. The VNP10_NRT product is provided in NETCDF format.

More information can be find from VIIRS Land website at:
https://viirsland.gsfc.nasa.gov/Products/NASA/SnowESDR.html

The Visible Infrared Imager Radiometer Suite (VIIRS) Sea Ice Extent 6-Min L2 Swath 375m is Near Real Time(NRT) (short name VNP29_NRT) data set reports the location of sea ice cover derived from radiance data acquired by VIIRS. Following the approach used by MODIS, the algorithm assumes that sea ice is snow covered and can be detected using the Normalized Difference Snow Index (NDSI). The VIIRS instrument flies on board the Suomi National Polar-orbiting Partnership (S-NPP) satellite.

For more information, consult product users guide at:

And product Algorithm Theoretical Basis Document (ATBD):

The Visible Infrared Imager Radiometer Suite (VIIRS) Ice Surface Temperature 6-Min L2 Swath 750m is Near Real Time(NRT) (short name VNP30_NRT) product provides surface temperatures retrieved at VIIRS moderate resolution for Arctic and Antarctic Sea Ice, for both day and night. Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique. VIIRS flies on board the Suomi National Polar-orbiting Partnership (S-NPP) satellite.

This dataset contains images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Images were then georeferenced based on range, heading, image orientation, and ship's GPS position. L4 images are available in GeoTIFF format and contain additional processing to classify pixels as sea ice, not sea ice, or not data.