Welcome to ecco_access!

ecco_access is a Python package with utilities for accessing output from the Estimating the Circulation and Climate of the Ocean (ECCO) state estimate. These tools enable the user to query and download ECCO output to their local machine, or directly access the ECCO output when working in the AWS Cloud.

If you have any questions, suggestions, or would like to contribute to ecco_access, please reach out to andrewdelman@ucla.edu. Thank you!

Introduction and Setup

• ecco_access: Python access utilities for the ECCO state estimate
  • Why use ecco_access?
  • What versions of ECCO are currently supported?
  • What is the ECCO state estimate?
  • Additional packages
• ECCO output on NASA Earthdata
  • Introduction
  • ECCO output structure on Earthdata
  • ECCO dataset and variable lists
• Setting up Earthdata login credentials
• Installing ecco_access
  • Preliminaries
  • Installing with conda/mamba
  • Installing with PyPI
  • Cloning the GitHub repository

Notebook Tutorials

• Using ecco_access in Jupyter notebooks and Python code
  • Introduction
  • Importing ecco_access to your workspace
  • The ecco_podaac_to_xrdataset function
  • The ecco_podaac_access function
• Modes of ecco_access
  • Introduction
  • Query-only modes
  • Direct download modes
  • In-cloud only access modes
  • Time comparison of access modes
• Querying ECCO variables and descriptions
  • What is a ShortName?
  • But…what if you don’t know the ShortName already? Find your data with ecco_access
• Downloading Subsets of ECCO Datasets
  • Introduction
  • Getting started
  • Example 1: Downloading monthly SSH in the North Atlantic
  • Example 2: Hurricane season SST in the Gulf of Mexico
  • Example 3: Generating URL list to download tropical Pacific salinity fluxes
• Accessing ECCOv4 release 5 output in the AWS Cloud
  • Introduction
  • SST comparison: v4r4 vs. v4r5
  • Momentum budget terms in v4r5

Miscellaneous

• Tutorial: Using Command Line wget to Download ECCO Datasets from PO.DAAC
  • Step 1: Create an account with NASA Earthdata
  • Step 2: Set up your netrc and urs_cookies files
  • Step 3: Prepare a list of granules (files) to download
  • Step 4: Download files in a batch with GNU wget

Indices and tables

• Index

• Module Index

• Search Page