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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: 13
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A collection of modeling software, tools, and grids, that allow for robust modeling of chemistry in Earth's atmosphere.
lang: Jupyter Notebook
stars: 20
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This Cookbook is learning-oriented to support scientific researchers using NASA Earthdata from Distributed Active Archive Centers as they migrate their workflows to the cloud.
lang: Jupyter Notebook
stars: 109
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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: 32
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Multi-resolution ocean general circulation model that solves the equations of motion describing the ocean and sea ice using finite-element and finite-volume methods on unstructured computational grids.
lang: Jupyter Notebook
stars: 68
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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: 61
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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: 148
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Allows you to run any large weather model with a consumer grade GPU.
lang: Jupyter Notebook
stars: 251
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A collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
lang: Jupyter Notebook
stars: 405
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 327
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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: 400
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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: 50
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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: 138
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Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.
lang: Jupyter Notebook
stars: 80
last activity:
A Python library for computing Finite-Amplitude Local Wave Activity from climate data.
lang: Jupyter Notebook
stars: 48
last activity: