Help Center

The Equal-Area Scalable Earth (EASE) Grids are intended to be versatile formats for global-scale gridded data, including remotely sensed data. Data can be expressed as a digital array with one of many possible grid resolutions, which are defined in relation to one of four possible projections: Northern / Southern Hemispheres (Lambert's equal-area, azimuthal), temperate zones (cylindrical, equal-area), or global (cylindrical, equal-area). 

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

Satellite remote sensing has made possible the collection of data over large areas of the Earth. These data are often stored in grids. Grids are an efficient means of storing data because the location of a value within the grid is implicit--it is not explicitly stored in the grid. The location is also constant, which makes it easy to compare data from different sensors or different time periods.

This tutorial was presented during the AGU 2018 Fall meeting and walks you through the steps needed to successfully access data and customization services programmatically from the National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) using our Application Programming Interface, or API.

The ICESat/GLAS elevation data are relative to the ellipsoid. The data also have a parameter indicating the geoid height, which is the height of the EGM2008 geoid above the TOPEX/Poseidon ellipsoid for the first and last shot in the record:

The regions differ slightly between the Sea Ice Index and the Multisensor Analyzed Sea Ice Extent - Northern Hemisphere (MASIE-NH). The two data sets are a source for sea ice extent, but they use different methods and data to estimate this parameter and their intended uses are also different.

Yes, one user of IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions, Version 1 (G02156) has created and made available a suite of Python tools. Code examples and tutorials for spatial subsetting, pixel area calculations, timeseries construction and concatenation, and plotting can be found on this external website: https://www.itsonlyamodel.us/Tibet-Snow-Man.html.

The answer is yes! There are several ways to programmatically access NSIDC data products and metadata using Application Programming Interfaces (APIs). We also provide the ability to access data using an FTP client. To determine whether these methods are available for a specific data set, please visit the data set landing page you are interested in working with.

For the snow cover and sea ice products, users can use MODIS Collections 6 and 6.1 together. Users should be aware that there were minor changes in calibration for C6.1 that could potentially induce some differences, however the impacts of these changes on the snow and sea ice products should not be significant.

SNODAS is a model output, so  it is not recommended for use for quantitative water budget analysis. However, it is reasonable to sum values over a given area for a period of time, if, for example, you wanted to compare annual totals of snow water equivalent (SWE) for a given area. The solid precipitation variable (code 1025) can be used to calculate a running sum, with one caveat. The precipitation forcing data are separated into non-snow (L00) and snow (L01) components and both are provided as water equivalent.

Fortran readers for AMSR-E Level-2B rain data are available upon request. Please contact NSIDC User Services for more information.

Some data sets specify dates using the year and day of year rather than the year, month, and day of month. The day of year (DOY) is the sequential day number starting with day 1 on January 1st. There are two calendars--one for normal years with 365 days, and one for leap years with 366 days. Leap years are divisible by 4. Centuries, like 1900, are not leap years unless they are divisible by 400. So, 2000 was a leap year.

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. Provided below are two short summaries of the algorithms, an overview of the differences between them, and relevant references.

Yes. This code is provided in files called Delivered Algorithm Packages (DAPs), which are available upon special request...

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. The software and tools are grouped into the following categories:

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. All tools are available by FTP. The tools work with the polar stereographic gridded passive microwave data sets at NSIDC. Types of tools include:

NASA Earthdata Search is a map-based interface that enables users to download Earth Science data through various methods, including Direct Download. This option allows users to download all data associated with the selected granules, and the requested data will be available for download immediately. To access the files, users can use the download access script provided by Earthdata Search. This is a convenient way to download a large number of granules. 

This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.

Read this help article to learn about what ICESat-2 quick look data products are and how to find them. What are ICESat-2 quick looks? The Advanced Topographic Altimeter System (ATLAS) on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) collects elevation data over all surfaces spanning the world’s frozen regions, forests, lakes, urban areas, and more. ICESat-2 data has a standard latency of 30-45 days, meaning it is made available to users 30-45 days after satellite observation.

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. Users have the option to Download a Python script Place an order to download files Pass their selection through to Earthdata Search to further customize and order there Let's get started with how to use the NSIDC DAAC Data Access Tool.