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An accessor for xarray objects that interprets CF attributes.
lang: Python
stars: 176
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
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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 powerful, format-agnostic, community-driven Python package for analyzing and visualizing Earth science data.
lang: Python
stars: 696
last activity:
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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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: 27
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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: 12
last activity:
Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 99
last activity:
A land surface model, used to calculate the fluxes of momentum, energy, water and carbon between the land surface and the atmosphere and to model the major biogeochemical cycles of the land ecosystem.
lang: Fortran
stars: 15
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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: 529
last activity:
A Python package for data-wrangling, analysis and visualization of integrated-assessment scenarios and energy systems modeling results.
lang: Python
stars: 268
last activity:
A mechanism for data, environments, and user setup for common environmental and climate health datasets in R.
lang: R
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: 32
last activity:
Designed to be used by researchers and public health professionals to forecast and assess the impact of climate on health outcomes.
lang: Python
stars: 17
last activity: