Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1 (NSIDC-0051)
Data set:
NSIDC-0051
This is the most recent version of these data.
Version Summary
Version Summary
Initial release
Overview
This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km.
Data Contributor(s):
- ClaireParkinson
- PerGloersen
- H.Zwally
- DonaldCavalieri
- WalterMeier
- F.Fetterer
- KennethKnowles
- MatthewSavoie
- MaryBrodzik
Parameter(s):
SEA ICE CONCENTRATION
Platform(s):
DMSP 5D-2/F11, DMSP 5D-2/F13, DMSP 5D-2/F8, DMSP 5D-3/F17, Nimbus-7
Sensor(s):
SMMR, SSM/I, SSMIS
Data Format(s):
PNG, Binary
Temporal Coverage:
26 October 1978 to 31 December 2021
Temporal Resolution:
1 day, 1 month
Spatial Resolution:
,
25 km
25 km
25 km
25 km
Spatial Coverage:
N:
90
S:
30.98
E:
180
W:
-180
N:
-39.23
S:
-90
E:
180
W:
-180
Data Access & Tools
A free NASA Earthdata Login account is required to access these data. Learn More
Documentation
User Guide
General Resources
Sensor and Instrument Information
Help Articles
Getting started
NSIDC currently archives passive microwave sea ice concentration products based on two algorithms: the NASA Team algorithm and the Bootstrap algorithm. Both algorithms were developed by researchers at the NASA Goddard Space Flight Center in the 1980s.
How To
Many NSIDC DAAC data sets can be accessed using the NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.
You will first need to have GDAL installed on your system before proceeding on to the following steps.
The following are instructions describing how to import sea ice binary files into ArcGIS. These instructions were tested with ArcMap 10.5 and 10.6.
1. Rename the Data File.
The Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data are distributed in gridded binary format. NSIDC provides IDL routines to ingest and read the data.
The NSIDC Python Reformatting and Subsetting (PyRS) tool is a command line tool which prompts the user to specify data reformatting and subsetting preferences. Output formats available are native, GeoTIFF, and NetCDF.