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🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling
A Julia Basket of Hand-Picked Krylov Methods
🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics
A visualization package for Oceananigans.jl fields.
Generates tidal potential for ocean simulations
Play atmospheric modelling like it's LEGO.
🌎 Ocean component for CliMa's Earth system model based on Oceananigans
Fast Fourier transforms of MPI-distributed Julia arrays
Distributed Julia arrays using the MPI protocol
The ideal tool for exploring global marine biogeochemical cycles.
High speed Geometric Multigrid in pure Julia
MITgcm simulation of an ocean gyre in a rotating tank.
Machine learning (and uncertainty quantification?) of climate model parameterizations using differentiable (and probabilistic?) programming.
Slack App updating user's status with currently playing song from Spotify
Lazy arrays and linear algebra in Julia
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http:https://lorenabarba.com/
The versatile ocean simulator, in pure Python, powered by JAX.
🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses
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!
An experimental code analyzer for Julia. No need for additional type annotations.