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

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

Free parameter infrastructure

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

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.

Repository that containts climate relevant ML datasets from the Climate Modeling Alliance.

A package for regression tests over NCDatasets.

A simple GPU-capable root solver package

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

A lightweight wrapper around Julia Artifacts

A Julia package for decomposing tuples into a collection of NTuples.

A Julia package for fusing broadcast expressions into optimized kernels

Modular random feature approximation in Julia

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

A library of atmospheric profiles

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

Makie.jl based functions to visualize parameterization interactively.

A Julia package for fusing multiple broadcast expressions together

Some utility functions for helping with customized Pkg.jl operations

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

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

A package for constructing Broadcasted objects from broadcast expressions

Generalized Hilbert space-filling curves

Biogeochemistry model for Clima-Ocean

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

For CliMA distributed computing

🌐 Recipes and tools for generating spherical shell grids for ocean simulations with Oceananigans

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

Calibration pipeline for ClimaAtmos.jl

Prescribed flow models for testing cloud microphysics schemes.

Prescribed flow models for testing cloud microphysics schemes.

Contains all universal constant and physical parameters in CLIMA

Contains all universal constant and physical parameters in CLIMA

Polynomials for efficiently computing the density of seawater

Stochastic Optimization, Learning, Uncertainty and Sampling

🌎 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.

:cloud_with_rain: Multi-moment cloud microphysics toy model

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

A turbulence-convection single column model cloud parameterization.

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