Skip to main content

A 1D Column bin microphysics model that performs collision-coalescence and breakup.

Project description

BinMod1D Banner

BinMod1D-PARS

Documentation Status

📖 Documentation

The full documentation for BinMod1D-PARS is available at Read the Docs.

Key Resources

  • Introduction – Overview of the python package.
  • Installation – Quick start guide for local setup.
  • Tutorial – Quick start guide for using the BinMod1D
  • Example Gallery – Pre-configured notebooks that highlight the capabilities of BinMod1D.

This repository contains the BinMod1D python code. This is a python-based 1D bin (spectral) microphysical model designed to explicitly simulate collision-coalescence and collisional breakup. In order to use the code:

1.) Initialize the spectral model using the spectral_1d class:

from binmod1d.spectral_model import spectral_1d

s1 = spectral_1D()

The inputs to this class will specify the initial gamma particle size distribution (PSD), the bin resolution (sbin) and number of bins used (bins), as well as other parameters that determine how the model will be run.

2.) Use the spectral_1D.run() method to run the model with the inputs specified in spectral_1D()

s1.run()

Various methods are included in the spectral_1d.py class that allow for easy plotting of bin model results.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

binmod1d-1.0.1.tar.gz (133.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

binmod1d-1.0.1-py3-none-any.whl (136.3 kB view details)

Uploaded Python 3

File details

Details for the file binmod1d-1.0.1.tar.gz.

File metadata

  • Download URL: binmod1d-1.0.1.tar.gz
  • Upload date:
  • Size: 133.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for binmod1d-1.0.1.tar.gz
Algorithm Hash digest
SHA256 9c9663723f6309c9ab4652f63b023a1778aed5b2a48e4e679ff1b9f3c432a0ff
MD5 0c2ce8c97a012a25fd912a92b63db49f
BLAKE2b-256 134328afc9eec04532e2c1d67b251a8676713edcb71c35767a9ecae591875eef

See more details on using hashes here.

File details

Details for the file binmod1d-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: binmod1d-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 136.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for binmod1d-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 97849f099a0aa6d71eacf7460d8fa5931cb5faf73926e68d462310ed99bfad5a
MD5 c1ec0c65e4c9dea89623c3c9e9600f0f
BLAKE2b-256 a382e1e45452e802f945ba0f71c3781b1416bca34cbc0daaf842aeda3b5517d4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page