Instructor: Fernando Paolo (paolofer@jpl.nasa.gov)
Part 1: Introduction to HDF5 data model
Part 2: Reduction of ICESat-2 data files
- Familiarize with HDF5 data model
- Familiarize with HDF5 basic tools
- Have a quick overview of cloud options
- Download IS2 files according region of interest
- Extract variables of interest and filter in time and space
- Prepare data for large-scale processing
- Learn simple/generic data parallelization strategy
- Inspect data files from the command line
- Plot millions of points efficiently
Monday June 15: Hack-day #1 (10:30 - 11:30 AM)
- Login to JupyterHub: https://icesat-2.hackweek.io/hub/login
- Open a Terminal: Find Terminal icon at the bottom (or click the
+sign on the top left) - Clone GitHub repo (type on the terminal):
git clone https://github.com/ICESAT-2HackWeek/intro-hdf5.git
Post your question in the #questions channel on Slack
The algorithms used in this tutorial are downscaled versions of an open-source Python altimetry package, currently being developed at JPL/Caltech: captoolkit. This package provides a range of algorithms for common tasks in altimetry data processing. We also use the convenient data download interface from icepyx.
The content of this project itself is licensed under the Creative Commons Attribution 3.0 Unported license, and the underlying source code used to format and display that content is licensed under the MIT licenseo.