Simplified Betts-Miller convection scheme

Brian Rose, University at Albany

About

This is a stand-alone Python wrapper for the Simplified Betts-Miller convection scheme described by Frierson (2007), J. Atmos. Sci. 64, doi:10.1175/JAS3935.1.

Thanks to Dargan Frierson for sharing the original Fortran code.

The primary use-case is to serve as a moist convection driver option for climlab, but it can also be used as a stand-alone model. This is a lightweight wrapper that emulates the Fortran interface as closely as possible. Dargan Frierson's original Fortran code is bundled here in the src directory for reference.

Installing

Pre-built binaries for many platforms are available from conda-forge.

To install in the current environment: conda install climlab-sbm-convection --channel conda-forge or create a self-contained environment: conda create --name my_env python=3.11 climlab-sbm-convection --channel conda-forge conda activate my_env

See below for instructions on how to build from source.

Building from source

Build environment

Here are instructions to create a build environment (including Fortran compiler) with conda/mamba

Starting from the root of the climlab-sbm-convection repo (example for Apple M1 machine, see ./ci/ for other environment files): mamba env create --file ./ci/requirements-macos-arm64.yml conda activate sbm_build_env

Or, to specify the Python version, you can do mamba create --name sbm_build_env python=3.11 --channel conda-forge mamba env update --file ./ci/requirements-macos-arm64.yml conda activate sbm_build_env

Building and installing into the Python environment

From the root of the repository, do this: python -m pip install . --no-deps -vv

Running tests

To run tests, do this from any directory other than the climlab-emanuel-convection repo: pytest -v --pyargs climlab_sbm_convection

Example usage

For now, see the notebooks in the docs directory of this repo.

An appropriate runtime environment for these notebooks is defined in the file docs/example_env.yml. To create this environment and launch the notebook server, navigate to the docs directory and do this:

conda env create -f example_env.yml conda activate sbm_example_env jupyter lab

Version history

• Version 0.2 (released 8/2/2024) implements support for a non-uniform relative humidity parameter. The subroutine betts_miller now expects array input for relative humidity. The call signature for this subroutine has changed.
• Version 0.1 is the first public release.