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Aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
lang: Jupyter Notebook
stars: 24
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 267
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A community learning resource for Python-based computing in the geosciences.
lang: Jupyter Notebook
stars: 66
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Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
stars: 167
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The aim of the project is to build an open source PV forecast that is free and easy to use.
lang: Jupyter Notebook
stars: 84
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A wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science.
lang: Jupyter Notebook
stars: 31
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Stands for CLIMate ADAptation and is a probabilistic natural catastrophe impact model, that also calculates averted damage (benefit) thanks to adaptation measures of any kind (from grey to green infrastructure, behavioural, etc.).
lang: Jupyter Notebook
stars: 354
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An open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun.
lang: Jupyter Notebook
stars: 186
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Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 195
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Converts battery testing data from native formats to a standardized HDF5 file.
lang: Jupyter Notebook
stars: 45
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Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 93
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A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.
lang: Jupyter Notebook
stars: 130
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Ocean and sea-ice model analysis tools and examples.
lang: Jupyter Notebook
stars: 52
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A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.
lang: Jupyter Notebook
stars: 42
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A Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.
lang: Jupyter Notebook
stars: 160
last activity: