Python tools for the AeroCom project
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Updated
Jun 4, 2024 - Python
Python tools for the AeroCom project
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Library of derived climate variables, ie climate indicators, based on xarray.
A project focused on climate data and tooling for Rio Grande do Sul in Brazil.
M.I.T General Circulation Model master code and documentation repository
Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.
A machine learning model implemented in Rust 🦀 + Burn 🔥 for the LEAP - Atmospheric Physics using AI (ClimSim) Kaggle challenge
Open-source Python package for Systematic Evaluation of Climate and Earth System Models
Python tools for analysing and offline diagnosing ocean and climate datasets
An extension of xarray for climate data analysis on structured grids.
Help us build the most accessible and accurate climate tech resource on the planet 📓 🌍
💧 R toolbox to provide a simple way of interacting with the code necessary to carry out diagnostic of the hydrological models used in Explore2
A collection of bias correction techniques written in Python - for climate sciences.
Julia interface to MITgcm
Project website for our NASA-funded computational climate-science curriculum
A Python package of algorithms and metrics used to characterise and identify jet streams, based on xarray.
Global Warming Potentials as assessed by the IPCC in CSV format, and as Python and Node modules
Example recipes for analyzing model output using the cosima-cookbook infrastructure
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