🌊 Fast and friendly fluid dynamics on CPUs and GPUs

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

Stochastic Optimization, Learning, Uncertainty and Sampling

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

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

Framework for generating a library of ocean turbulence large eddy simulation (LES) data using Oceananigans.jl to train ocean and climate models.

A symbolic language for equation specification

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:cloud_with_rain: Multi-moment cloud microphysics toy model

Scripts and tools for comparing ocean models: OceanMachine.jl (discontinuous Galerkin), Oceananigans.jl, and MITgcm (both finite volume).

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

Contains all universal constant and physical parameters in CLIMA

Polynomials for efficiently computing the density of seawater

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

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

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

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A package containing a library of moist thermodynamic relations

A simple GPU-capable root solver package

A package containing a library of moist thermodynamic relations

Free parameter infrastructure

A lightweight wrapper around Julia Artifacts