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A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.
lang: Python
stars: 24
last activity:
Provides software infrastructure for automating coastal ocean modelling for real time hurricane decision support.
lang: Fortran
stars: 43
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Integrated assessment model with a realistic treatment of technology diffusion.
lang: Python
stars: 14
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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
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Geospatial processing toolbox for environmental and climate studies.
lang: Groovy
stars: 70
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
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An R package for climate data access building on the NetCDF-Java API.
lang: R
stars: 13
last activity:
A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 238
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
last activity:
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:
Analysis framework and collection of process-oriented diagnostics for weather and climate simulations.
lang: Python
stars: 76
last activity:
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
last activity:
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: 191
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: