🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

Climate Machine: an Earth System Model that automatically learns from data

Stochastic Optimization, Learning, Uncertainty and Sampling

📚Generating Oceananigans large eddy simulation (LES) data for calibrating parameterizations

A Julia implementation of Rapid and accurate Radiative Transfer Model for General Circulation Models.

:cloud_with_rain: Multi-moment cloud microphysics toy model

Free parameter infrastructure

Machine learning (and uncertainty quantification?) of climate model parameterizations using differentiable (and probabilistic?) programming.

A simple GPU-capable root solver package

A package containing a library of moist thermodynamic relations.

A package containing a library of moist thermodynamic relations.

Contains all universal constant and physical parameters in CLIMA

Contains all universal constant and physical parameters in CLIMA

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Polynomials for efficiently computing the density of seawater

A simple GPU-friendly solver for a system of non-linear equations

A CPU- and GPU-friendly package for solving ordinary differential equations

Functions to read gridded data so as to feed Clima Land model

ClimaCoupler: bringing atmosphere, land, and ocean together

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

Tools for generating cubed sphere grids and solving partial differential equations on the sphere.

CliMA model dycore

A lightweight wrapper around Julia Artifacts

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

A turbulence-convection single column model cloud parameterization.

A package for computing surface fluxes between the atmosphere, ocean and land models.

A library of cloud microphysics parameterizations

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

For CliMA distributed computing

Generalized Hilbert space-filling curves

Clima's Land Model

Clima's Land Model

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

A package for reporting metrics (e.g., allocations)

A simple package for reporting temporal convergence tests for OrdinaryDiffEq.jl's integrator object.

A library of atmospheric profiles

A package for regression tests over NCDatasets.

Prescribed flow models for testing cloud microphysics schemes.

Prescribed flow models for testing cloud microphysics schemes.