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Global Superstructure/Workflow currently supporting the Finite-Volume on a Cubed-Sphere Global Forecast System.
lang: Shell
stars: 102
last activity:
A powerful, format-agnostic, community-driven Python package for analyzing and visualizing Earth science data.
lang: Python
stars: 729
last activity:
Quick user guide for python software to interact with the CMIP7 data request.
lang: Python
stars: 22
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: 121
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: 14
last activity:
A global flood-forecasting models with the aim to foster transparency, enable in-house integration in production systems, and accelerate academic research.
lang: Python
stars: 358
last activity:
An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.
lang: Python
stars: 4.2K
last activity:
A Python software package that provides fundamental tools for accessing, loading and interacting with solar physics data in Python.
lang: Python
stars: 1.0K
last activity:
Norwegian Earth System Model and Documentation.
lang: Python
stars: 52
last activity:
This kernels refer to datasets containing the radiative sensitivities of TOA (or surface) radiation to changes in fields such as temperature, specific humidity, and surface albedo.
lang: Python
stars: 27
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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: 483
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: 149
last activity:
Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.
lang: Python
stars: 131
last activity:
A library of derived climate variables, i.e. climate indicators, based on xarray.
lang: Python
stars: 408
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: 18
last activity: