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-1.0.8.tar.gz (138.9 kB view details)

Uploaded Source

Built Distribution

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

binmod1d-1.0.8-py3-none-any.whl (141.6 kB view details)

Uploaded Python 3

File details

Details for the file binmod1d-1.0.8.tar.gz.

File metadata

  • Download URL: binmod1d-1.0.8.tar.gz
  • Upload date:
  • Size: 138.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for binmod1d-1.0.8.tar.gz
Algorithm Hash digest
SHA256 7f1f75f6a6533ab863910adf0bd1c08e5999b2afb72eda88c82e189937c5d737
MD5 0b3ba4f96377eb3643bf1416ae9f7fb8
BLAKE2b-256 e4fe626718a2dcee36929d7a8d304f7ebc758ec0f7a22c27416c07500ecfdb20

See more details on using hashes here.

File details

Details for the file binmod1d-1.0.8-py3-none-any.whl.

File metadata

  • Download URL: binmod1d-1.0.8-py3-none-any.whl
  • Upload date:
  • Size: 141.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for binmod1d-1.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 180d8fec556f07d2e540825bc90ebc8e72f93e9005fbf884cef82e8de49a50c5
MD5 4c4609e947178bdaefca3ec18c6a5d8a
BLAKE2b-256 e54f1665211804183d5518d4000f4ee41d6193d1c99d12250cd478922a8c9e55

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