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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: 15
last activity:
An open source, object-oriented, simple global climate carbon-cycle model.
lang: C++
stars: 111
last activity:
Stochastically creates Earth System Model-specific spatio-temporally correlated climate variable field realizations at a negligible computational cost.
lang: Python
stars: 25
last activity:
An open source Python application for downloading, processing, and delivering surface water maps derived from remote sensing data.
lang: Python
stars: 165
last activity:
An open source project and Python package that provides verification metrics of deterministic (and probabilistic from properscoring) forecasts with xarray.
lang: Python
stars: 232
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Integrated assessment model with a realistic treatment of technology diffusion.
lang: Python
stars: 10
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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: 346
last activity:
Aims to provide a modern framework to investigate integrated assessment models of sustainable development, based on current software engineering and scientific machine learning techniques.
lang: Julia
stars: 68
last activity:
A climate change scenario-building analysis framework, built with Intake-esm catalogs and xarray-based packages such as xclim and xESMF.
lang: Python
stars: 15
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: 92
last activity:
A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 214
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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: 369
last activity:
A Python package for tackling diverse environmental prediction tasks with neural processes.
lang: Python
stars: 89
last activity:
Geospatial processing toolbox for environmental and climate studies.
lang: Groovy
stars: 59
last activity:
A powerful, format-agnostic, community-driven Python package for analyzing and visualizing Earth science data.
lang: Python
stars: 635
last activity: