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The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.

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Now that we have an ARM Apple chip build, let's test with pyglpk which will improve the test suite. - [x] Closes #1558 - [x] Tests added - [x] Documentation...

### Description We need a blog post on the current state of phase-processing, exploring new methods, detailing the current limitations.

In my original composite reflectivity code, I neglected that different sweeps can have different PRFs, which change the sensitivity and range. This created some odd artifacts like here: ![image](https://github.com/ARM-DOE/pyart/assets/22037322/c1b2d872-c1a0-4202-867a-9a4ad3b6906a) To...

Bring in recent changes to main - [ ] Tests added - [ ] Documentation reflects changes

Adds script to compute storm relative velocity for a radar object using the existing radial velocity field. Script allows the user to specify the storm motion using either speed and...

I have recently become acquainted with the [lonboard](https://github.com/developmentseed/lonboard) plotting library and successfully plotted radar data using it, with the goal of throwing together a little interactive interface using [panel](https://panel.holoviz.org/). related...

Docs

### Description Add a section of the gallery with AI/ML examples, highlighting how to pre-process data using Py-ART and feed into various algoriths. ### What I Did This was brought...

""" import pyart radar = pyart.aux_io.read_radx("DLI241228031216-IMD-B.nc.1", radx_dir="/usr/local/lrose/bin", no_assemble=True) radar.fields['Z']['data'].shape >> (3600, 831) import xarray as xr radar = xr.open_dataset("DLI241228031216-IMD-B.nc.1") radar.Z.shape >> (360, 831) """ This code snippet shows that actually...

import pyart import numpy as np radar_full = pyart.io.read("DLI241228000230-IMD-B_corrected.nc") radar = radar_full.extract_sweeps([0]) # Apply cloud mask using gate_z as height field from pyart.correct import calc_cloud_mask field_name = 'corrected_reflectivity' radar =...

Gamic unfolding extend to 5./6. , 6./7. This change is required to read data from the GMWR1000SST radar model.