Earth Science and Machine Learning (EarthSciML)

Framework and algorithms for implemental symbolically-defined geoscientific models and related machine-learning algorithms

EarthSciML: Earth Science and Machine Learning

https://earthsci.dev

Packages

Package	Documentation	Tests	Coverage	Compat	Formatting
EarthSciMLBase.jl
EarthSciData.jl
GasChem.jl
Aerosol.jl
EnvironmentalTransport.jl
AtmosphericDeposition.jl
AtmosphericDynamics.jl
Emissions.jl
OceanDynamics.jl
UrbanCanopy.jl
Vegetation.jl
WildlandFire.jl
GeoDynamics.jl

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Contributors

Pinned Loading

EarthSciMLBase.jlEarthSciMLBase.jlPublic
Basic functionality for EarthSciML system
Julia 6 5
GasChem.jlGasChem.jlPublic
Models of gas-phase atmospheric chemistry and related processes
Julia 7 6
EarthSciData.jlEarthSciData.jlPublic
External data loaders for use with the EarthSciML ecosystem
Julia 2 5
AtmosphericDeposition.jlAtmosphericDeposition.jlPublic
Models of atmospheric deposition using ModelingToolkit.jl
Julia 3 6
Aerosol.jlAerosol.jlPublic
Models of aerosol chemistry and physics using ModelingToolkit.jl
Julia 6 7
EnvironmentalTransport.jlEnvironmentalTransport.jlPublic
Algorithms for the transport of mass and energy in the environment
Julia 2 5

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