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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:
A user-friendly way to calculate greenhouse gas fluxes in soil yourself, regardless of user experience.
lang: R
stars: 23
last activity:
A modular system to estimate greenhouse gas emissions and removals by the land sector.
lang: C++
stars: 57
last activity:
Rust library to retrieve regional carbon intensity data from the UK National Grid.
lang: Rust
stars: 11
last activity:
A Python library and a command line interface tool for estimating CO2, CH4 and N2O emissions from water reservoirs.
lang: Python
stars: 6
last activity:
A cloud platform for greenhouse gas data analysis and collaboration.
lang: Python
stars: 40
last activity:
A real-time visualization of the CO2 emissions from electricity consumption.
lang: Python
stars: 3.9K
last activity:
Method to calculate a gridded, prior emissions estimate for methane across Australia.
lang: Python
stars: 6
last activity:
Aims to provide a unified standard for understanding, quantifying, and reducing carbon emissions from an organisation's technology landscape.
lang: HTML
stars: 20
last activity:
An R package that provides functions to read emissions from VEIN and from other models in different formats and export the emissions into the appropriate format suitable to other models.
lang: R
stars: 29
last activity: