Ocean mixing parameterizations in python

oocgcm is a python library for the analysis of large gridded geophysical dataset.

Experiments demonstrating coupled online learning for machine learning parameterizations

Official implementation of Score-based Data Assimilation

Repository for EPIC/CADRE Data Assimilation Training Sessions

2024 University of Reading data assimilation training course practical

Tools to support analysis of POP2-CESM model solutions

Idealized GCM from the University of Exeter

ClimaCoupler: bringing atmosphere, land, and ocean together

ClimaAtmos.jl is an atmosphere model that is designed to leverage data assimilation and machine learning tools for modeling and calibrating subgrid-scale processes.

CliMA model dycore

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

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

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Python for Atmosphere and Ocean Scientists

material for the CSU-led machine learning tutorial for earth science research

Computational Fluid Dynamics in JAX

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

A type-flexible shallow water model that can run with 16-bit arithmetic.

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Python package for reading MOD fish data

Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"

A manuscript published in Geophysical Research Letters.

Turbulent flow network source code

M.I.T General Circulation Model master code and documentation repository

A stand-along Python wrapper for the RRTMG radiation modules

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

NeuralGCM's differentiable dycore

Hybrid ML + physics model of the Earth's atmosphere