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A library of derived climate variables, i.e. climate indicators, based on xarray.
lang: Python
stars: 368
last activity:
Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.
lang: Python
stars: 1.8K
last activity:
A community diagnostic and performance metrics tool for routine evaluation of Earth system models in World Climate Research Programme.
lang: NCL
stars: 251
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Integrated assessment model with a realistic treatment of technology diffusion.
lang: Python
stars: 13
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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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Designed to be used by researchers and public health professionals to forecast and assess the impact of climate on health outcomes.
lang: Python
stars: 14
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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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An accessor for xarray objects that interprets CF attributes.
lang: Python
stars: 175
last activity:
Geospatial processing toolbox for environmental and climate studies.
lang: Groovy
stars: 69
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Aims to provide a way for Python users to discover and load data across a broad range of climate data products available on the Australian NCI supercomputer Gadi.
lang: Python
stars: 10
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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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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: 387
last activity:
A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 296
last activity:
The Toolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.
lang: C++
stars: 61
last activity: