A place to find cloud-relevant tutorials on how to use GES DISC tools, services, and data.
Most tutorials in this repository take the form of Python notebooks. Jupyter is a very popular version of Python notebooks, and is used extensively by the GES DISC team.
Keep up with current cloud options by visiting the Cloud Migration page on the GES DISC website. Here you will find basic information on the transition to the cloud, frequently asked questions, How-Tos and definitions.
Some tutorials can be run locally to take advantage of cloud archives or cloud-based tools, while other tutorials must be executed using cloud resources provided by AWS in a particular region, us-west-2. These tutorials contain a salmon-colored banner indicating this requirement.
| Notebook | Summary | Services, Tools, Data Types | Actions |
|---|---|---|---|
| How to Create and Store Earthdata Login Credentials Using Python | This notebook demonstrates how to generate and store your Earthdata Login credentials in a .netrc file. | Python | Access |
| How to Directly Access MERRA-2 Data from an S3 Bucket with Python | This notebook demonstrates how to access and plot a Modern-Era Retrospective analysis for Research and Applications (MERRA-2) M2T1NXSLV.5.12.4 file hosted via an Amazon S3 bucket. It demonstrates how to access an S3 bucket with the S3FS library and then plot sea-level pressure contours of a single file with Cartopy and Matplotlib. | Python, Direct S3 Access | Access, Subset, Plot |
| How to Obtain a List of S3 URLs for a GES DISC Collection using the CMR API | This notebook demonstrates how to obtain a list of S3 URLs for desired cloud-hosted GES DISC granules using the Commmon Metadata Repository (CMR) API. | Python, CMR | Search |
| How to Retrieve Temporary S3 Credentials for the GES DISC Cloud Archive | This notebook demonstrates how to retrieve GES DISC S3 credentials by using a previously generated netrc file. | Python | Access |
| How to Perform Cross-DAAC S3 Bucket Access Using Python | This notebook demonstrates how to access cloud-hosted Earthdata granules from S3 buckets using the CMR API and Python, from two different DAACs (GES DISC and PO.DAAC). | Python, CMR, Direct S3 Access | Search, Access, Subset, Compute, Plot |
| How to Access and Analyze GPM Data from the S3 Giovanni Cache Zarr Store | This notebook demonstrates how to access the Giovanni Cache Zarr Store S3 bucket inside the AWS us-west-2 region for performing analysis. | Python, Direct S3 Access | Access, Subset, Compute, Plot |