🌊 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

CliMA model dycore

Stochastic Optimization, Learning, Uncertainty and Sampling

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

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 package containing a library of moist thermodynamic relations.

A package containing a library of moist thermodynamic relations.

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

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

A library of cloud microphysics parameterizations

Clima's Land Model

Clima's Land Model

Contains all universal constant and physical parameters in CLIMA

Contains all universal constant and physical parameters in CLIMA

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

A turbulence-convection single column model cloud parameterization.

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

🌎 Tools for realistic regional-to-global ocean simulations, and coupled ocean + sea-ice simulations based on Oceananigans and ClimaSeaIce. Basis for the ocean and sea-ice component of CliMA's Earth system model.

ClimaCoupler: bringing atmosphere, land, and ocean together

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

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

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

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

:cloud_with_rain: Multi-moment cloud microphysics toy model

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

Polynomials for efficiently computing the density of seawater

-

Modular random feature approximation in Julia

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.

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

Shared utilities for the CliMA project

A toolkit for optimizing Julia code that uses statically sized iterators.

Generalized Hilbert space-filling curves

This project contains the CliMA superresolution work using Julia's Flux.jl and SciML.jl frameworks.

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

Prescribed flow models for testing cloud microphysics schemes.

Prescribed flow models for testing cloud microphysics schemes.

A framework to define and output observables and statistics from CliMA simulations

A Julia package for fusing multiple broadcast expressions together