AMS 2023 LROSE Workshop

Background

This repository contains all the notebooks and parameter files for tutorials from the 2023 LROSE workshop before the AMS Annual Meeting in Denver, CO. The tutorials will go over a few key LROSE workflows, showing how to use frequently used applications and highlighting key parameters. Tutorials can be downloaded after the workshop for use on a local machine, although paths may need to be edited. The tutorials are in the form of Jupyter notebooks.

Requirements

All tutorials during the AMS workshop will run on a JupyterHub server provided by Unidata. All that is required is a laptop or tablet running a modern web browser (e.g., Chrome, Firefox) that can connect to the internet.

Running the tutorials on a local machine will require the Jupyter notebook interface. The notebooks are tested to run with the Topaz release of LROSE.

Tutorials:

• Echo
  • RadxRate_tutorial.ipynb
    • RadxRate, Grib2toMdv, Mdv2SoundingSpdb, RadxConvert
• QC
  • QC_tutorial.ipynb
    • RadxPid, RadxRate, RadxQc
• Wind
  • FRACTL
  • SAMURAI

Contributors and Instructors

• Jen DeHart (Colorado State University)
• Tyler Barbero (Colorado State University)
• Ting-Yu Cha (Colorado State University)
• Michael Bell (Colorado State University)
• Mike Dixon (National Center for Atmospheric Research)

Acknowledgements

We would like to thank Julien Chastang and Ana Espinoza for their assistance setting up the JupyterHub server. The JupyterHub server is a part of Unidata's Science Gateway (https://doi.org/10.5065/688s-2w73).