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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 306
last activity:
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
last activity:
Norwegian Earth System Model and Documentation.
lang: Python
stars: 44
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: 64
last activity:
A software framework for supporting the efficient development, construction, execution, and scientific interpretation of atmospheric, oceanic, and climate system models.
lang: Fortran
stars: 116
last activity:
Xarray extension for unstructured climate and global weather data analysis and visualization.
lang: Python
stars: 202
last activity:
Assesses the potential risk and forecasts the impact of climate hazards on the most vulnerable communities, in order to design risk reduction activities and target disaster responses.
lang: TypeScript
stars: 69
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
last activity:
Stochastically creates Earth System Model-specific spatio-temporally correlated climate variable field realizations at a negligible computational cost.
lang: Python
stars: 32
last activity:
A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 239
last activity:
Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
lang: Python
stars: 116
last activity:
Analysis framework and collection of process-oriented diagnostics for weather and climate simulations.
lang: Python
stars: 76
last activity:
Geospatial processing toolbox for environmental and climate studies.
lang: Groovy
stars: 70
last activity:
A mechanism for data, environments, and user setup for common environmental and climate health datasets in R.
lang: R
stars: 10
last activity: