BullhornDon't know where to start? Ask our Community

Sponsored by

CodesharkEcosyste.msGitHubGround Truth

Sort By

nci / Scores
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: 171
last activity:
A Bayesian inference approach for using terrestrial ecosystem observations to optimize terrestrial carbon cycle model states and processes parameters.
lang: Jupyter Notebook
stars: 9
last activity:
Datasets, code and virtual workspace for the Climate Change ATLAS.
lang: Jupyter Notebook
stars: 97
last activity:
Help us build the most accessible and accurate climate tech resource on the planet.
lang: Jupyter Notebook
stars: 80
last activity:
A wide-reaching, inclusive and approachable program aimed to introduce computational methods for climate science.
lang: Jupyter Notebook
stars: 32
last activity:
A library for satellite image processing providing all of the functionality necessary for retrieving, and storing EUMETSAT data.
lang: Jupyter Notebook
stars: 44
last activity:
A community learning resource for Python-based computing in the geosciences.
lang: Jupyter Notebook
stars: 66
last activity:
Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
stars: 168
last activity:
A spectral dynamical core for global atmospheric modeling written in JAX.
lang: Jupyter Notebook
stars: 279
last activity:
Ocean and sea-ice model analysis tools and examples.
lang: Jupyter Notebook
stars: 53
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: 20
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: 136
last activity:
The aim of the project is to build an open source PV forecast that is free and easy to use.
lang: Jupyter Notebook
stars: 93
last activity:
NREL / pvdeg
Set of tools to calculate degradation responses and degradation related parameters for PV.
lang: Jupyter Notebook
stars: 35
last activity:
Aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.
lang: Jupyter Notebook
stars: 29
last activity: