ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

The ideal tool for exploring global marine biogeochemical cycles.

Interpolation between areas (polygons) in Julia

Argo data processing and analysis

Example data loading for ArviZ.jl

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

Models for canopy radiative transfer schemes

An analysis library for ClimaDiagnostics (and, more generally, NetCDF files)

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!

ClimaCache.jl is designed to share information among different CliMA modules. All public types and structs are supposed to live here.

ClimaCoupler: bringing atmosphere, land, and ocean together

A framework to define and output observables and statistics from CliMA simulations

Clima's Land Model

Clima's Land Model

🌎 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.

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

Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots

Julia package to download and analyse ECMWF reanalysis data, with some calculations for other variables thrown in.

Climate Machine: an Earth System Model that automatically learns from data

Plotting library for ClimateTools

Julia package that downloads satellite measurements and observational data

Climate science package for Julia

CommonDataModel.jl is a module that defines types common to NetCDF and GRIB data

CoralBlox is a coral growth and mortality model that simulates distinct coral functional groups indirectly competing for a limited space over time. The model does not directly consider natural disturbances nor does it have representation of anthropogenic restoration and conservation activities such as coral seeding or cloud brightening.

Next generation permafrost process modeling in the Julia programming language.

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

High Frequency radar data interpolation with DIVAnd

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Julia interface for Reading from the Earth System Datacube

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A Julia package to handle high dimensional astronomy image data sets for radio interferometry

A base module to handle NetCDF4 data in EHT Julia ecosystem

Algorithms for the transport of mass and energy in the environment

Dealing with ERA5 Reanalysis datasets

Artifacts for Geospatial Data Science

Archive of GeoData.jl, which is replaced by Rasters.jl

Load/save geospatial data compatible with the GeoStats.jl framework

Defining Geographical Regions for Geoscience and Climate