CITATION.cff

cff-version: 1.2.0
message: "If you use this cookbook, please cite it as below."
authors:
  # add additional entries for each author -- see https://github.com/citation-file-format/citation-file-format/blob/main/schema-guide.md
  - family-names: Ladino
    given-names: Alfonso
    orcid: https://orcid.org/0000-0001-8081-7827 # optional
    website: https://github.com/aladinor # optional
    affiliation: University of Illinois at Urbana Champaign (UIUC) # optional
  - family-names: del Moral Méndez
    given-names: Anna
    orcid: https://orcid.org/0000-0002-5015-840X
    affiliation: National Center for Atmospheric Research (NCAR)
  - family-names: Javornik
    given-names: Brenda
    orcid: https://orcid.org/0009-0004-9266-9293
    website: https://github.com/leavesntwigs
    affiliation: National Center for Atmospheric Research (NCAR)
  - family-names: Michelson
    given-names: Daniel
    orcid: https://orcid.org/0000-0003-3222-9881
    website: https://github.com/DanielMichelson
    affiliation: Environment and Climate Change Canada (ECCC)
  - family-names: Wolfensberger
    given-names: Daniel
    orcid: https://orcid.org/0009-0006-1419-0556
    website: https://github.com/wolfidan
    affiliation: Federal Office of Meteorology and Climatology MeteoSwiss
  - family-names: Ghiggi
    given-names: Gionata
    orcid: https://orcid.org/0000-0002-0818-0865
    website: https://github.com/ghiggi
    affiliation: Ecole polytechnique fédérale de Lausanne (EPFL)
  - family-names: DeHart
    given-names: Jen
    orcid: https://orcid.org/0000-0001-8536-4927
    website: https://github.com/jcdehart
    affiliation: Colorado State University (CSU)
  - family-names: Figueras i Ventura
    given-names: Jordi
    orcid: https://orcid.org/0000-0002-4949-422X
    website: https://github.com/jfigui
    affiliation: independent radar scientis
  - family-names: Giles
    given-names: Julian
    orcid: https://orcid.org/0000-0001-8134-008X
    website: https://github.com/JulianGiles
    affiliation: University of Bonn
  - family-names: Mühlbauer
    given-names: Kai
    orcid: https://orcid.org/0000-0001-6599-1034
    website: https://github.com/kmuehlbauer
    affiliation: University of Bonn
  - family-names: Grover
    given-names: Maxwell
    orcid: https://orcid.org/0000-0002-0370-8974
    website: https://github.com/mgrover1
    affiliation: Argonne National Laboratory
  - family-names: Dixon
    given-names: Mike
    orcid: https://orcid.org/0000-0002-9597-9113
    website: https://github.com/mike-dixon
    affiliation: National Center for Atmospheric Research (NCAR
  - family-names: Jackson
    given-names: Robert
    orcid: https://orcid.org/0000-0003-2518-1234
    website: https://github.com/rcjackson
    affiliation: Argonne National Laboratory
  - family-names: Collis
    given-names: Scott
    orcid: https://orcid.org/0000-0002-2303-687X
    website: https://github.com/scollis
    affiliation: Argonne National Laboratory
  - family-names: Cha
    given-names: Ting-Yu
    orcid: https://orcid.org/0000-0002-0370-8974
    website: https://github.com/tingyucha
    affiliation: National Center for Atmospheric Research (NCAR)
  - name: "ERAD2024 Open Radar Science Shortcourse contributors" # use the 'name' field to acknowledge organizations
    website: "https://github.com/openradar/erad2024/graphs/contributors"
title: "ERAD 2024 Open Radar Science Shortcourse"
abstract: "The course will discuss the principles of open science and provide an overview of the most mature
and exciting software packages available for radar data processing (ex. LROSE, Py-ART, pyrad, BAL-
TRAD, wradlib) and how they connect with the scientific software stack.
The course will be built with Jupyter Notebooks as hands-on approach for interactive user experi-
ence. The main course programming language is Python, but also Command Line Tools are used.
The course will also highlight the “xradar” package, implementing the newly adopted
FM301/CfRadial2 WMO standard, as well as the gpm-api software, which facilitates the
download and analysis of TRMM PR and GPM DPR spaceborne radars data. These two tools will be
used to showcase how to harness the power of xarray and dask for efficient, distributed radar data
processing.
The course will cover operational use (e.g. in HPC environments or Cloud Infrastructure) as well as
algorithm development, enabling the participants to implement their own algorithms.
The course will also show how to create workflows for different aspects of weather radar
data processing, using open datasets relevant to the attendees and ERAD 2024"