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Institute of Computing for Climate Science's Projects

advection2d.jl icon advection2d.jl

A solution to the 2D advection equation in Julia. (ICCS Summer School 2023 Hackathon project.)

cime_je icon cime_je

Common Infrastructure for Modeling the Environment

fortran-tf-lib icon fortran-tf-lib

A library for directly calling TensorFlow / Keras ML models from Fortran.

ftorch icon ftorch

A library for directly calling PyTorch ML models from Fortran.

ftorch-benchmarks icon ftorch-benchmarks

Benchmarking for the fortran-pytorch-lib against forpy (disconnected form MiMA)

git-training icon git-training

Repo used in Git/Github training (ICCS summer school 2022)

mima icon mima

Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation

neural_nework_parameterization icon neural_nework_parameterization

Code used in:"Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision"

oneflux icon oneflux

Open Network-Enabled Flux processing pipeline

process_model icon process_model

The process_model tool reads a TensorFlow SavedModel and outputs Fortran code to interface it to the fortran-tf-lib

pyqg_da icon pyqg_da

Data assimilation system for the PyQG model

pysdm icon pysdm

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

rebench icon rebench

Execute and document benchmarks reproducibly.

ss23-git icon ss23-git

Repository for the GitHub talk in ICCS Summer School '23.

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