ClimODE

Climate forecasting framework

A framework for training and evaluating physics-informed neural ODEs for climate and weather forecasting

ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs

GitHub

75 stars
0 watching
9 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
climdyn/qgsA flexible Python framework for simulating the dynamics of atmospheric models in midlatitudes37
pangeo-data/climpredVerification and analysis of weather and climate forecasts using Python.234
zmlabe/icevarfigsTools and scripts for analyzing climate data and producing visualizations82
climt/climtA toolkit for building climate models with Python165
gaelforget/climatemodels.jlAn interface to climate models and tracked workflow framework43
climopy-dev/climopyA toolset for analyzing climate data24
climlab/climlabA flexible Python package for simulating complex climate models as collections of individual processes.219
clima/climaatmos.jlA Julia package for building atmospheric circulation models leveraging data assimilation and machine learning tools.85
clima/oceananigans.jlSoftware for fast and flexible finite volume simulations of fluid dynamics on CPUs and GPUs1,008
mllam/neural-lamA software framework for training and evaluating neural networks for weather prediction in specific geographic areas.126
alan-turing-institute/clim-recalA data-processing pipeline for climate modeling and bias correction.9
ouranosinc/xclimA Python library for constructing climate indicators and performing data treatment workflows335
noaa-gfdl/paceAn atmospheric model implementation in Python15
cerfacs-globc/icclimTools for calculating climate indices and indicators from weather data84
btschwertfeger/python-cmethodsA collection of bias correction techniques for climate data analysis60