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Library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language.
lang: Python
stars: 132
last activity:
Provide a better understanding of the degree of impact flood events can have on physical assets like buildings, roads, railways, transmission lines, etc.
lang: Python
stars: 19
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A Python package for tackling diverse environmental prediction tasks with neural processes.
lang: Python
stars: 116
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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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An open-source transactional storage engine for tensor / ND-array data designed for use on cloud object storage.
lang: Rust
stars: 498
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 299
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Stochastically creates Earth System Model-specific spatio-temporally correlated climate variable field realizations at a negligible computational cost.
lang: Python
stars: 28
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Used to generate experiments using the JEDI data assimilation system and NASA's Goddard Earth Observing System (GEOS) numerical weather forecast mode.
lang: Python
stars: 17
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Norwegian Earth System Model and Documentation.
lang: Python
stars: 43
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A state-of-the-art fully coupled model of the Earth's climate including important biogeochemical and cryospheric processes.
lang: Fortran
stars: 393
last activity:
An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
lang: Python
stars: 4.0K
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Geospatial processing toolbox for environmental and climate studies.
lang: Groovy
stars: 69
last activity:
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: 22
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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: 392
last activity: