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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: 364
last activity:
Library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language.
lang: Python
stars: 155
last activity:
A series of command-line tools to make common data engineering tasks easier for researchers in climate and weather.
lang: Python
stars: 254
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: Python
stars: 239
last activity:
Large-eddy-simulation software for urban flow, dispersion and microclimate modelling.
lang: Jupyter Notebook
stars: 86
last activity:
A climate change scenario-building analysis framework, built with Intake-esm catalogs and xarray-based packages such as xclim and xESMF.
lang: Python
stars: 19
last activity:
A Python software package that provides fundamental tools for accessing, loading and interacting with solar physics data in Python.
lang: Python
stars: 1.1K
last activity:
A library of derived climate variables, i.e. climate indicators, based on xarray.
lang: Python
stars: 412
last activity:
An extension of xarray for climate data analysis on structured grids.
lang: Python
stars: 141
last activity:
A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.
lang: Python
stars: 26
last activity:
Global Superstructure/Workflow currently supporting the Finite-Volume on a Cubed-Sphere Global Forecast System.
lang: Shell
stars: 102
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
last activity:
Creation of flood inundation raster libraries and rating curves from HEC-RAS models.
lang: Python
stars: 68
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: 150
last activity:
Analysis framework and collection of process-oriented diagnostics for weather and climate simulations.
lang: Jupyter Notebook
stars: 81
last activity: