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Repository that containts climate relevant ML datasets from the Climate Modeling Alliance.
Julia package that downloads satellite measurements and observational data
Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations
ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.
Julia interface to climate models + tracked workflow framework
A 1D radiative-convective model for the atmospheres of hot terrestrial planets.
Cross-platform backup tool for Windows, macOS & Linux with fast, incremental backups, client-side end-to-end encryption, compression and data deduplication. CLI and GUI included.
Python implementation of the simple climate model from Hansen et al. (1981)
Abstract types and methods for Gaussian Processes.
Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots
Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
🌎 A curated list of Earth system datasets for the machine learning and weather, climate, ice, ocean, etc. community.
🏔️Optimization on Riemannian Manifolds in Julia
ClimaCoupler: bringing atmosphere, land, and ocean together
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
A Python toolkit for running and coupling Earth surface models
The Basic Model Interface is a set of functions for coupling models to models and models to data
A simple way to specify experiment configurations
A new markup-based typesetting system that is powerful and easy to learn.
Krylov methods for linear problems, eigenvalues, singular values and matrix functions
Exploring and eliciting probability distributions
Welcome to the central open-source repository of LPJmL at PIK. You are free to download the code under the AGPLv3 license, see LICENSE file. Have fun. Please note that there is absolutely no suppor…
language level autograd compiler for Julia
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data