Data Citation and Acknowledgment
As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility.

10.5067/ATLAS/ATL15.003

Smith, B., Sutterley, T., Dickinson, S., Jelley, B. P., Felikson, D., Neumann, T. A., Fricker, H. A., Gardner, A. S., Padman, L., Markus, T., Kurtz, N., Bhardwaj, S., Hancock, D. & Lee, J. (2023). ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change. (ATL15, Version 3). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/ATLAS/ATL15.003. [describe subset used if applicable]. Date Accessed 09-22-2024.

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Data Access & Tools

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HTTPS File System

Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.

NASA Earthdata Cloud Data Access Guide

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service

Data Access Tool

Filter files before downloading based on date, spatial area, or file name. Choose from various download options, such as Python script. Export bounding boxes as a GeoJSON.

Filter and order from a data set web page

Type: Web Application

Last updated:

July 2020

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NASA Earthdata Search

Search and order data from all NASA DAACs using spatial and temporal filters in a map interface. Reformatting, reprojecting, and subsetting options are available for some data sets.

How to search, order, and customize data with NASA Earthdata Search

Type: Web Application

earthaccess

earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.

Supported software languages:

Python

GitHub Repository

Type: Downloadable Software

Last updated:

February 2024

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NASA Earthdata Cloud (AWS S3)

Access data directly from the NASA Earthdata Cloud via Amazon Web Services Simple Storage Service (AWS S3). This access option is only available when working within the us-west-2 region and requires additional AWS S3 credentials.

NASA Earthdata Cloud Data Access Guide

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Customized Programmatic Data Access Service

Programmatically request selected data products through our API. This tool is valuable for selecting just the parameters you need from big data sets. Apply spatial and temporal filters, subsetting, reformatting, and reprojection.

Programmatic Data Access Guide

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service

Last updated:

UMM-S LastUpdatedDate

April 2023

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data reformatting

reprojection

spatial subsetting

variable subsetting

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Nearest Neighbor

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Universal Transverse Mercator

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HDFView

Explore contents of HDF4 and HDF5 files, including file structure, metadata, and parameter values.

HDFView 3.X User's Guide

Type: Downloadable Software

icepyx

Access ICESat-2 data with as few as three lines of code. This Python software library wraps around APIs supported by the NSIDC DAAC.

Supported software languages:

Python

Icepyx documentation

Type: Downloadable Software

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Customization Capabilities:

spatial subsetting

temporal subsetting

variable subsetting

ICESat-2 Hackweek Jupyter Notebook Tutorials

Utilize the Jupyterbook for the latest Hackweek virtual event and learn about the ICESat-2 satellite, data products, data-access tools, and more. Access past hackwork tutorials from the ICESat-2 Hackweek Github Organization listed in the Quick Links.

Supported software languages:

Python

Type: Downloadable Software

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Customization Capabilities:

spatial subsetting

temporal subsetting

variable subsetting

Panoply Data Viewer

Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.

Type: Downloadable Software