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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
last activity:
An open source Python application for downloading, processing, and delivering surface water maps derived from remote sensing data.
lang: Python
stars: 177
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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: 169
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A mechanism for data, environments, and user setup for common environmental and climate health datasets in R.
lang: R
stars: 9
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Provides software infrastructure for automating coastal ocean modelling for real time hurricane decision support.
lang: Fortran
stars: 41
last activity:
Xarray extension for unstructured climate and global weather data analysis and visualization.
lang: Python
stars: 193
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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: 325
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A climate change scenario-building analysis framework, built with Intake-esm catalogs and xarray-based packages such as xclim and xESMF.
lang: Python
stars: 20
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A versatile, dynamic systems-optimization modeling framework developed by the IIASA Energy, Climate, and Environment (ECE) Program since the 1980s.
lang: Jupyter Notebook
stars: 136
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A Python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data.
lang: Python
stars: 22
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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: 10
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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: 365
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A Python package for tackling diverse environmental prediction tasks with neural processes.
lang: Python
stars: 115
last activity:
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: 55
last activity: