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Composition and Dynamics","monthly_downloads":9,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"## CalibrateEDMF.jl\n\nA package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods.\n\nThe rationale behind the calibration framework implemented in this package is thoroughly described in our paper:\n\nLopez-Gomez, I., Christopoulos, C., Langeland Ervik, H. L., Dunbar, O. R. A., Cohen, Y., Schneider, T. (2022) **Training physics-based machine-learning parameterizations with gradient-free ensemble Kalman methods**, *Journal of Advances in Modeling Earth Systems*, 14(8), e2022MS003105. [doi](https://doi.org/10.1029/2022MS003105)\n\nIf you use this package for your own research, or find any of the ideas presented useful, please cite our work. The article also includes results for an extended eddy-diffusivity mass-flux (EDMF) closure of turbulence and convection trained using this package. The EDMF scheme is implemented in [TurbulenceConvection.jl](https://github.com/CliMA/TurbulenceConvection.jl), and described in the following papers:\n\nCohen, Y., Lopez-Gomez, I., Jaruga, A., He, J., Kaul, C., and Schneider, T. (2020) **Unified entrainment and detrainment closures for extended eddy-diffusivity mass-flux schemes.** *Journal of Advances in Modeling Earth Systems*, 12, e2020MS002162. [doi](https://doi.org/10.1029/2020MS002162)\n\nLopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T. (2020) **A generalized mixing length closure for eddy-diffusivity mass-flux schemes of turbulence and convection.** *Journal of Advances in Modeling Earth Systems*, 12, e2020MS002161. [doi](https://doi.org/10.1029/2020MS002161)\n\nFor further details on how to use CalibrateEDMF, consult the [documentation](https://CliMA.github.io/CalibrateEDMF.jl/dev/).\n\n\n\n|||\n|---------------------:|:----------------------------------------------|\n| **Documentation**    | [![dev][docs-latest-img]][docs-latest-url]    |\n| **DOI**              | [![DOI][zenodo-img]][zenodo-latest-url]       |\n| **Docs Build**       | [![docs build][docs-bld-img]][docs-bld-url]   |\n| **GHA CI**           | [![gha ci][gha-ci-img]][gha-ci-url]           |\n| **Code Coverage**    | [![codecov][codecov-img]][codecov-url]        |\n\n[zenodo-img]: https://zenodo.org/badge/DOI/10.5281/zenodo.6382864.svg\n[zenodo-latest-url]: https://doi.org/10.5281/zenodo.6382864\n\n[docs-latest-img]: https://img.shields.io/badge/docs-latest-blue.svg\n[docs-latest-url]: https://CliMA.github.io/CalibrateEDMF.jl/dev/\n\n[docs-bld-img]: https://github.com/CliMA/CalibrateEDMF.jl/actions/workflows/docs.yml/badge.svg\n[docs-bld-url]: https://github.com/CliMA/CalibrateEDMF.jl/actions/workflows/docs.yml\n\n[gha-ci-img]: https://github.com/CliMA/CalibrateEDMF.jl/actions/workflows/ci.yml/badge.svg\n[gha-ci-url]: https://github.com/CliMA/CalibrateEDMF.jl/actions/workflows/ci.yml\n\n[codecov-img]: https://codecov.io/gh/CliMA/CalibrateEDMF.jl/branch/main/graph/badge.svg\n[codecov-url]: https://codecov.io/gh/CliMA/CalibrateEDMF.jl\n\n### Requirements\n\nJulia version 1.5+ \n\n# Installation\n\nTo use latest version of this package, clone this repository\n\n  \u003e\u003e git clone https://github.com/CliMA/CalibrateEDMF.jl.git\n\nTo use the latest stable release, you can install the package on your Julia environment:\n\n  \u003e\u003e julia\n  \u003e\u003e julia\u003e using Pkg; Pkg.add(\"CalibrateEDMF\")\n\nIn order to use the package, compile the project first.\n\n\u003e\u003e julia --project\n\n\u003e\u003e julia\u003e ]\n\n\u003e\u003e pkg\u003e instantiate\n\n# Installation in dev mode (advanced)\n\nSince both `TurbulenceConvection.jl` and `EnsembleKalmanProcesses.jl` are under rapid development, we may want to access a recent unpublished version of these packages when working with `CalibrateEDMF.jl`, or even use a version with local changes. 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