MALTA: Model of Averaged in Longitude Transport in the Atmosphere.
Latest release
A description of the model is available here: https://doi.org/10.22541/essoar.168890012.27918585/v1
To install the latest release:
$ pip install maltamalta is a two-dimensional (longitudinally-averaged) model of atmospheric transport.
A simple run of constant emissons of 10 Gg of CFC-11 with zero initial conditions
from 2010-2020 inclusive could be:
import numpy as np
from malta import model
start_year = 2010
end_year = 2021
species = "CFC11"
# Set up and run model
years = np.array([str(yr) for yr in range(start_year,end_year)])
emistot = np.repeat(10, len(years))
emissions = model.create_emissions(species, emistot)
sink = model.create_sink(species)
ds_out = model.run_model(years, emissions, sink) The returned ds_out is an xarray dataset containing monthly mean output variables from the 2D model run. See docs/example.ipynb or the readthedocs page for more information on running the model.
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
malta was created by Luke Western. It is licensed under the terms of the MIT license.
malta was created with cookiecutter and the py-pkgs-cookiecutter template.