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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
last activity:
A library of derived climate variables, i.e. climate indicators, based on xarray.
lang: Python
stars: 363
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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: 136
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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: 230
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: 110
last activity:
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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A climate change scenario-building analysis framework, built with Intake-esm catalogs and xarray-based packages such as xclim and xESMF.
lang: Python
stars: 20
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Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.
lang: Fortran
stars: 66
last activity:
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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A Python package of mathematical functions for the verification, evaluation and optimisation of forecasts, predictions or models, primarily supporting the meteorological, climatological and geoscientific communities.
lang: Jupyter Notebook
stars: 173
last activity:
Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 97
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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: 380
last activity:
An extension of xarray for climate data analysis on structured grids.
lang: Python
stars: 132
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A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.
lang: Python
stars: 22
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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
last activity: