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ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.

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ClimaAtmos.jl

Atmosphere components of the CliMA software stack.

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ClimaAtmos.jl is the atmosphere components of the CliMA software stack. We strive for a user interface that makes ClimaAtmos.jl as friendly and intuitive to use as possible, allowing users to focus on the science.

animation (1)

Condensed water path from a global simulation using diagnostic EDMF and 0M microphysics, initialized with ERA5 on 8-31-25 00Z. Output every 30 minutes; ran for ~4 days.

Installation instructions

Recommended Julia: Stable release v1.11.6

ClimaAtmos.jl is a registered Julia package. To install

julia>using Pkg julia> Pkg.add("ClimaAtmos")

Alternatively, download the ClimaAtmossource with:

$ git clone https://github.com/CliMA/ClimaAtmos.jl.git 

Now change into the ClimaAtmos.jl directory with

$ cd ClimaAtmos.jl 

To use ClimaAtmos, you need to instantiate all dependencies with:

$ julia --project julia> ] (ClimaAtmos) pkg> instantiate 

Running instructions

Currently, the simulations are stored in the test folder. Run all the test cases with the following commands.

First, we instantiate the test environment, by launching (from ClimaAtmos.jl/) Julia with the test/ environment active:

$ julia --project=test 

Then, once in the Julia REPL, we switch to the package manager by pressing ]:

julia> ]

Once in the package manager, we develop the ClimaAtmos.jl/ directory:

test> dev . 

Now, we can switch back to the Julia REPL by escaping and run the test suite interactively:

julia>include(joinpath("test", "runtests.jl"))

Or escape the Julia REPL and run from the command line:

$ julia --project=test test/runtests.jl 

If you run into issues when running the test suite this way, please open an issue.

Contributing

If you're interested in contributing to the development of ClimaAtmos we want your help no matter how big or small a contribution you make! It's always great to have new people look at the code with fresh eyes: you will see errors that other developers have missed.

Let us know by opening an issue if you'd like to work on a new feature.

Here is the rule of thumb coding style and unicode usage restrictions.

For more information, check out our contributor's guide.

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ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.

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