SMMR and SSM/I-SSMIS

The Equal-Area Scalable Earth (EASE) Grids are intended to be versatile formats for global-scale gridded data, including remotely sensed data.

NSIDC's Polar Stereographic Projection was originally designed to be optimal for sea ice applications, though it is now used for many other

NSIDC provides software and tools for geolocating and displaying EASE-Grid data sets at NSIDC. This article provides links to software and tools for geolocating and displaying EASE-Grid projection data sets available at NSIDC. All tools are available through the NSIDC Github.

NSIDC provides software tools to extract and geolocate data in a polar stereographic projection derived from passive microwave instruments, as well as masking tools that limit the influence of weather effects on sea ice concentrations.

The main differences between the DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures, Version 2 (NSIDC-0032) and the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 1 (NSIDC-0630) data sets are de

The two grids are based on different map projections. The polar stereographic projection was initially used with ice concentration products developed at the NASA Goddard Space Flight Center (GSFC) and has been retained for historical consistency.

A list of featured external softwares and their compatibility with EASE-Grid and EASE-Grid 2.0 are listed in the article below. For a complete list of EASE-Grid and EASE-Grid 2.0 tools curated by NSIDC, please read the article

Given the choices of either shape distortion or areal distortion or both, the equal-area projections were chosen for the EASE Grids because they minimized the amount of distortion over the hemispheric and global areas being portrayed.

This article describes how to geolocate North, South, and Global EASE-Grid data from the DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures product using ENVI software.

The NSIDC provides Python scripts for reformatting specific NSIDC SMMR-SSM/I-SSMIS data products in polar stereographic projections from NetCDF to binary.

Learn how to import  EASE-Grid 2.0 data files into ArcGIS in this step-by-step help article

This article describes how to import passive microwave EASE-Grid brightness temperature data into ArcGIS.

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.

We recommend using the Geospatial Data Abstraction Library (GDAL) or a GIS to reproject geoTIFF files.

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.

This article describes the actions to perform in order to work with NSIDC-0611 in ArcGIS. At the time of writing, this tutorial is relevant for ArcMap10.5 and earlier.

This short article explains where to find Global Monthly EASE-Grid SWE data products and then how to import them into ArcGIS.

This tutorial outlines the steps for visualizing data in EASE-Grid/EASE-Grid2 projection and NetCDF format, using the free software, Panoply.

Assuming the data that were produced conform to the ML (25km) EASE-Grid definition, defined by the Ml.gpd and described in our