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psyplot-ks-seminar-20240201

Presentation of psyplot on the KS Seminar on February 1st, 2024

https://github.com/chilipp/psyplot-ks-seminar-20240201

Science Score: 44.0%

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Last synced: 10 months ago · JSON representation ·

Repository

Presentation of psyplot on the KS Seminar on February 1st, 2024

Basic Info
  • Host: GitHub
  • Owner: Chilipp
  • License: cc-by-4.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 47.1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Using psyplot for visualizing unstructured data and vertical transects

KS Seminar

February 1st, 2024

Philipp S. Sommer

Binder

This presentation demonstrates the most recent features of Psyplot, a powerful tool for visualizing climate data on unstructured grids. The utilization of UGRID conventions has become paramount in handling unstructured grids effectively. This presentation demonstrates how psyplot can be used to effectively and straightforwardly to visualize climate data conforming to UGRID conventions, highlighting its role in enhancing the comprehension of spatial and temporal patterns.

Another key focus of the presentation is on the grid-independent extraction of vertical transects in 4-dimensional data, addressing a critical challenge in climate science. I will showcase the new innovative methodologies within Psyplot that facilitate seamless extraction of vertical profiles across varying grid structures, enabling researchers to analyze and interpret climate variables with unprecedented precision. By showcasing practical applications and case studies, the presentation aims to demonstrate the usefullness of psyplot for climate data analysis and model development. Attendees will gain valuable insights into the potential of Psyplot and its role in pushing the boundaries of visualizing climate data on unstructured grids.

About this presentation

This presentation uses material from the presentation at the DACH 2022 conference. Some parts have been shown interactively in the GUI during the presentation.

Note

This presentation is a jupyter notebook presented with [RISE][rise]. You can access the raw notebook at psyplot-framework-presentation.ipynb.

You can also execute the cells in this presentation interactively by clicking on

Binder

License

The contents of this repository is published under the Creative Commons Attribution 4.0 International Public License (CC BY 4.0).

See the LICENSE file for more details.

Copyright (c) 2022-2024, Helmholtz-Zentrum hereon GmbH

Owner

  • Name: Philipp S. Sommer
  • Login: Chilipp
  • Kind: user
  • Location: Geesthacht, Germany
  • Company: Helmholtz-Zentrum hereon

Citation (CITATION.cff) 

# YAML 1.2
---
cff-version: "1.2.0"
message: "If you use the contents of this repository, please cite both the article from preferred-citation and the software itself."
title: "Using psyplot for visualizing unstructured data and vertical transects"
authors:
  - family-names: Sommer
    given-names: "Philipp S."
    affiliation: "Helmholtz-Zentrum Hereon"
    orcid: "https://orcid.org/0000-0001-6171-7716"
    website: "https://www.philipp-s-sommer.de"
    post-code: 21502
    city: Geesthacht
    country: DE
    email: philipp.sommer@hereon.de
contact:
  - email: psyplot@hereon.de
    name: "Psyplot developers at hereon"
license: "CC-BY-4.0"
repository-code: https://github.com/Chilipp/psyplot-KS_Seminar-20240201
type: software
keywords:
  - psyplot
  - python
  - visualization
  - xarray
  - matplotlib
  - netcdf4
  - interactive
  - climate models
  - unstructured
...

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Last synced: 11 months ago

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  • Total Commits: 26
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  • Avg Commits per committer: 26.0
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Philipp Sommer p****r@h****e 26
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hereon.de: 1

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Dependencies

binder/environment.yml conda
  • cartopy >=0.18
  • cartopy
  • cython
  • dask
  • ipympl
  • ipython 8.16.1.*
  • jupyter
  • jupyter_contrib_nbextensions
  • matplotlib 3.7.*
  • netcdf4
  • pip
  • pyinterp
  • pyqt 5.*
  • pyqtwebengine
  • python 3.11.*
  • qtconsole
  • rise
  • scikit-learn
  • websockify
  • xarray 2023.7.0.*