The Python ARM Radar Toolkit - Py-ART — Py-ART 2.1.1 documentation
Py-ART has the ability to ingest (read) from a number of common weather radar formats including Sigmet/IRIS, MDV, CF/Radial, UF, and NEXRAD Level II archive files.
The Python ARM Radar Toolkit - Py-ART - GitHub Pages
Py-ART has the ability to ingest (read) from a number of common weather radar formats including Sigmet/IRIS, MDV, CF/Radial, UF, and NEXRAD Level II archive files.
The Py-ART Radar object and indexing - GitHub Pages
The Py-ART Radar object and indexing # # The Py-ART radar object has functions and attributes that allow for a more # in depth look of the data and the radar object.
Plot Max-CAPPI — Py-ART 2.1.1 documentation
Download Jupyter notebook: plot_max_cappi.ipynb Download Python source code: plot_max_cappi.py Download zipped: plot_max_cappi.zip
Contributor’s Guide — Py-ART 2.1.1 documentation - GitHub Pages
The Python ARM Radar Toolkit, Py-ART, is an open source Python module containing a growing collection of weather radar algorithms and utilities build on top of the Scientific Python stack and …
Reading NEXRAD Data from the AWS Cloud — Py-ART 2.1.1 …
Within this example, we show how you can remotely access Next Generation Weather Radar (NEXRAD) Data from Amazon Web Services and plot quick looks of the datasets.
Contributor’s Guide — Py-ART 2.1.0 documentation
The Python ARM Radar Toolkit, Py-ART, is an open source Python module containing a growing collection of weather radar algorithms and utilities build on top of the Scientific Python stack and …
Why Py-ART? — Py-ART 2.1.1 documentation
The Python ARM Radar Toolkit (Py-ART) is a powerful and flexible open-source library designed for working with weather radar data. Whether you’re a researcher, operational meteorologist, or data …
Contributor’s Guide — Py-ART 1.11.7.dev+c829faf documentation
The Python ARM Radar Toolkit, Py-ART, is an open source Python module containing a growing collection of weather radar algorithms and utilities build on top of the Scientific Python stack and …
Visualizing Severe Weather in Wisconsin - GitHub Pages
Apr 7, 2023 · Within this post, we examined how to use data from the National Weather Service to identify tornado signatures, and create a flexible plotting function to visualize its path.