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README.md

ICESat-2 Cloud Access

Summary

This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the earthaccess package. NASA data "in the cloud" are stored in Amazon Web Services (AWS) Simple Storage Service (S3) Buckets. Direct Access is an efficient way to work with data stored in an S3 Bucket when you are working in the cloud. Cloud-hosted granules can be opened and loaded into memory without the need to download them first. This allows you take advantage of the scalability and power of cloud computing.

Set up

To run the notebook provided in this folder in the Amazon Web Services (AWS) cloud, there are a couple of options:

  • An EC2 instance already set up with the necessary software installed to run a Jupyter notebook, and the environment set up using the provided environment.yml file. Note: If you are running this notebook on your own AWS EC2 instance using the environment set up using the environment.yml file in the NSIDC-Data-Tutorials/notebooks/ICESat-2_Cloud_Access/environment folder, you may need to run the following command before running the notebook to ensure the notebook executes properly:

jupyter nbextension enable --py widgetsnbextension

You do NOT need to do this if you are using the environment set up using the environment.yml file from the NSIDC-Data-Tutorials/binder folder.
  • Alternatively, if you have access to one, it can be run in a managed cloud-based Jupyter hub. Just make sure all the necessary libraries are installed (earthaccess,xarray, and hvplot).

For further details on the prerequisites, see the 'Prerequisites' section in the notebook.

Key Learning Objectives

  1. Use earthaccess to search for ICESat-2 data using spatial and temporal filters and explore search results;
  2. Open data granules using direct access to the ICESat-2 S3 bucket;
  3. Load a HDF5 group into an xarray.Dataset;
  4. Visualize the land ice heights using hvplot.