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Access and Customize ICESat-2 Data Tutorials

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Presenters and Authors

Jessica Scheick (@JessicaS11), University of Maine, lead icepyx developer

Amy Steiker (@asteiker), National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC)

Summary

These tutorials will walk you though how to access ICESat-2 data, with an emphasis on programmatic access from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) using the icepyx Python library. Access parameters include spatial and temporal filters, as well as customization services including subsetting and reformatting.

This tutorial is hosted on the Github ICESat-2 HackWeek organization.

Key Learning Objectives

  1. Understand ICESat-2 data access methods, using OpenAltimetry for data discovery and encouraging programmatic access to NSIDC resources.
  2. Become familiar with the icepyx library, which provides a wrapper to NSIDC's Application Programming Interface (API).
  3. Create an icesat2data object (the primary class of icepyx) and use it to search, order (with and without subsetting), and download ICESat-2 data.

Schedule (all times in PDT)

Date: Friday 11 June

  • 12:10-12:30 [Amy Steiker]

ICESat-2 Data Access Resource Intro

Date: Monday 14 June

  • 9:00-9:10 [Jessica Scheick]: Intro to icepyx
  • 9:10-9:25 [Amy Steiker]: Search Parameters
  • 9:25-9:40 [Jessica Scheick]: Query and login
  • 9:40-9:50 [Amy Steiker]: Data ordering
  • 9:50-9:55 [Jessica Scheick]: Data download
  • 9:55-10:00 [Jessica Scheick]: Wrap up

ICESat-2 Data Programmatic Data Access

Extra tutorial notebook on subsetting

Setup

  1. Login to JupyterHub: https://icesat-2.hackweek.io
  2. Open a Terminal: Find Terminal icon at the bottom (or click the + sign on the top left)
  3. Clone GitHub repo (type on the terminal): git clone https://github.com/ICESAT-2HackWeek/data-access.git

Questions

Post your question in the #questions channel on Slack.

Credit

This collection of tutorials is conceptually based on the 2019 ICESat-2 Hackweek Data Access tutorial by @asteiker and @wallinb, which were modified into example notebooks to showcase the usage of the icepyx library. The materials for 2020 were co-developed from those examples by the presenters.

License

All code and content in this repository is free software: you can redistribute it and/or modify it under the terms of the BSD License. A copy of this license is provided in LICENSE.

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