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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:
A state-of-the-art fully coupled model of the Earth's climate including important biogeochemical and cryospheric processes.
lang: Fortran
stars: 404
last activity:
Analysis of Paleoclimate Data.
lang: Python
stars: 99
last activity:
A Python package for data-wrangling, analysis and visualization of integrated-assessment scenarios and energy systems modeling results.
lang: Python
stars: 271
last activity:
ESCOMP / CTSM
The Community Land Model is the land model for the Community Earth System Model, which formalises and quantifies concepts of ecological climatology.
lang: Fortran
stars: 337
last activity:
A Python software package that provides fundamental tools for accessing, loading and interacting with solar physics data in Python.
lang: Python
stars: 987
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:
Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.
lang: Fortran
stars: 71
last activity:
Integrated assessment model with a realistic treatment of technology diffusion.
lang: Python
stars: 16
last activity:
Library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language.
lang: Python
stars: 133
last activity:
Provides software infrastructure for automating coastal ocean modelling for real time hurricane decision support.
lang: Fortran
stars: 43
last activity:
Used to generate experiments using the JEDI data assimilation system and NASA's Goddard Earth Observing System (GEOS) numerical weather forecast mode.
lang: Python
stars: 17
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
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:
An accessor for xarray objects that interprets CF attributes.
lang: Python
stars: 176
last activity: