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An open source project and Python package that provides verification metrics of deterministic (and probabilistic from properscoring) forecasts with xarray.
lang: Python
stars: 234
last activity:
Stochastically creates Earth System Model-specific spatio-temporally correlated climate variable field realizations at a negligible computational cost.
lang: Python
stars: 26
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A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 267
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Provides software infrastructure for automating coastal ocean modelling for real time hurricane decision support.
lang: Fortran
stars: 40
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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
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Library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language.
lang: Python
stars: 120
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A community diagnostic and performance metrics tool for routine evaluation of Earth system models in World Climate Research Programme.
lang: NCL
stars: 238
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Assesses the potential risk and forecasts the impact of climate hazards on the most vulnerable communities, in order to design risk reduction activities and target disaster responses.
lang: TypeScript
stars: 51
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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: 371
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An accessor for xarray objects that interprets CF attributes.
lang: Python
stars: 168
last activity:
The Toolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.
lang: C++
stars: 60
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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: 354
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Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
lang: Python
stars: 107
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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: 17
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A Python package for tackling diverse environmental prediction tasks with neural processes.
lang: Python
stars: 106
last activity: