
Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations, Version 2
Data set id:
NSIDC-0081
DOI: 10.5067/YTTHO2FJQ97K
This data set has been retired.
Version Summary
Version Summary
Version update reflects the conversion of the data set from binary to netCDF.
Overview
This data set provides a Near-Real-Time (NRT) map of sea ice concentrations for both the Northern and Southern Hemispheres.
As of 18 June 2026, this data set is retired and no longer available for download. Forward processing for this product ceased in January 2026. We recommend using the research quality AMSR2 Daily Polar Gridded Sea Ice Concentrations (https://doi.org/10.5067/W13AO54SS7CW) or Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data (https://doi.org/10.5067/MPYG15WAA4WX) data sets as an alternative.
Parameter(s):
SEA ICE CONCENTRATION
Platform(s):
DMSP 5D-3/F16
DMSP 5D-3/F17
DMSP 5D-3/F18
Sensor(s):
SSMIS
Data Format(s):
PNG
netCDF-4
Temporal Coverage:
- 1 January 2024 to 14 January 2026
Temporal Resolution:
- 1 day
Spatial Resolution:
- 25 km
- 25 km
Spatial Reference System(s):
- NSIDC Sea Ice Polar Stereographic NorthEPSG:3411
- NSIDC Sea Ice Polar Stereographic SouthEPSG:3412
Spatial Coverage:
- Northern latitude90Southern latitude30.98Eastern longitude180Western longitude-180
- Northern latitude-39.23Southern latitude-90Eastern longitude180Western longitude-180
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Strengths and Limitations
Strengths
- Useful for large-scale monitoring of sea ice
- Microwave observations provide surface snow and ice coverage during cloudy and night-time (including polar night) conditions (Cavalieri et al., 1999)
- Thorough inter-calibration between sensors for consistency throughout the record (Cavalieri et al., 1999; Cavalieri et al., 2012)
- Less sensitive to temperature variations because it uses ratios instead of differences (Comiso et al., 1997)
- Concentrations are generally reliable within the ice pack (away from the ice edge) during cold (non-melt) conditions (Comiso et al., 1997)
- Useful input/validation of climate model simulations (National Center for Atmospheric Research Staff, 2017)
Limitations
- Low spatial resolution (25 km gridded) limits detail on concentration and precision of sea ice edge; is unsuitable for operational/navigational support (Cavalieri et al., 1999)
- Underestimates sea ice concentration during melt season (Kern et al., 2020) and/or when the ice is thin (Ivanova et al., 2015)
- Higher uncertainties in Antarctica due to flooded snow and other ice characteristics (Comiso et al., 1997)
- Algorithm coefficients are fixed for a given sensor, so biases can occur if characteristic surface conditions change (Cavalieri et al., 1999)
- False coastal ice can occur due to mixed land and ocean within a sensor footprint (Cavalieri et al., 1999)
- Near-real-time product with no planned reprocessing for long-term consistency; should not be used to derive long-term trends in sea ice or snow (Cavalieri et al., 1999)
Data Access & Tools
Documentation
User Guide
General Resources
Sensor and Instrument Information
Help Articles
General Questions & FAQs
This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.