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Aims to make the data about trees in Great Britain more accessible and understandable, whilst still maintaining good industry practices.
lang: Jupyter Notebook
stars: 9
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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: 159
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A Bayesian inference approach for using terrestrial ecosystem observations to optimize terrestrial carbon cycle model states and processes parameters.
lang: Jupyter Notebook
stars: 14
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A Python library for computing Finite-Amplitude Local Wave Activity from climate data.
lang: Jupyter Notebook
stars: 53
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A comprehensive benchmark dataset designed to enhance the development of machine learning models for instance segmentation of agricultural field boundaries.
lang: Jupyter Notebook
stars: 164
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Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.
lang: Jupyter Notebook
stars: 86
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Analysis framework and collection of process-oriented diagnostics for weather and climate simulations.
lang: Jupyter Notebook
stars: 81
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Data analysis tools for working with historical PV solar time-series data sets.
lang: Jupyter Notebook
stars: 101
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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: 486
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A Python package that provides a simple way to use nighttime lights data from NASA's Black Marble project that provides a product suite of daily, monthly and yearly global nighttime lights.
lang: Jupyter Notebook
stars: 66
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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: 203
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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: 150
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A collection of scripted tools developed to inform risk analytics for the World Bank's Country Climate and Development Report risk screening activities.
lang: Jupyter Notebook
stars: 34
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 339
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