Skip to main content

Catchment Modelling Framework - A hydrological modelling toolkit

Project description

logo

lic zeno pypi travis appveyor

Modelling water and solute fluxes

cmf is a programming library to create hydrological models, which are highly modular and connectible to other models developed using a multiple hypotheses background and is based on the finite volume method Although written in C++, its primary usage is to be compiled as an extension to other programming languages, using SWIG. Researchers can build individual models, targeting their scientific question by using the library objects like water storages, boundary conditions, fluxes and solvers. cmf uses the finite volume method to set up a wide range of models of water flow through your study area. Resulting models can range from lumped conceptual models to fully distributed darcian models and everything in between.

cmf is published as free software under GPLv3. (c) 2007-2017 by Philipp Kraft and the Institute of Landscape Ecology and Resources Management, Justus-Liebig Universität Gießen.

Documentation

Can be found here: https://philippkraft.github.io/cmf

Development

You can join the development or report bugs at Github:

https://img.shields.io/github/release/philippkraft/cmf.svg?logo=github

Publications

The basic publication of cmf is:

Kraft, P., Vaché, K.B., Frede, H.-G. Breuer, L. 2011. A hydrological programming language extension for integrated catchment models, Environmental Modelling & Software, doi: 10.1016/j.envsoft.2010.12.009

Published applications

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

cmf-2.0.0.tar.gz (622.4 kB view hashes)

Uploaded Source

Built Distributions

cmf-2.0.0-cp312-cp312-win_amd64.whl (2.2 MB view hashes)

Uploaded CPython 3.12 Windows x86-64

cmf-2.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.0 MB view hashes)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

cmf-2.0.0-cp311-cp311-win_amd64.whl (2.2 MB view hashes)

Uploaded CPython 3.11 Windows x86-64

cmf-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.0 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

cmf-2.0.0-cp310-cp310-win_amd64.whl (2.2 MB view hashes)

Uploaded CPython 3.10 Windows x86-64

cmf-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

cmf-2.0.0-cp39-cp39-win_amd64.whl (1.8 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

cmf-2.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.9 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

Supported by

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