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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: 137
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A software framework for supporting the efficient development, construction, execution, and scientific interpretation of atmospheric, oceanic, and climate system models.
lang: Fortran
stars: 111
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Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
lang: Python
stars: 114
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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: 372
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A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 231
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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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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: 1.7K
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Integrated assessment model with a realistic treatment of technology diffusion.
lang: Python
stars: 11
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A Python package for data-wrangling, analysis and visualization of integrated-assessment scenarios and energy systems modeling results.
lang: Python
stars: 260
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Aims to be the primary package used to analyze output from initialized dynamical forecast models, ranging from short-term weather forecasts to long-term climate forecasts.
lang: Python
stars: 247
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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: 21
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An open source Python application for downloading, processing, and delivering surface water maps derived from remote sensing data.
lang: Python
stars: 177
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Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.
lang: Fortran
stars: 66
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A Python package for tackling diverse environmental prediction tasks with neural processes.
lang: Python
stars: 115
last activity: