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Monte Carlo and Propagation of Error Uncertainty in FLINT

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About Uncertainty

Uncertainty assessment is important for land based greenhouse gas estimation, as it is incorporated in all aspects of reporting, from national greenhouse gas inventories through to results-based payments for REDD+. The purpose of repository is to provide tools and modules for implementing two commonly used IPCC methods for combining uncertainties within the FLINT framework. The two commonly used methods are the Propagation of Error and Monte Carlo methods for combining uncertainties.

For an introduction to the two methods please have a look at "Uncertainty Modules for FLINT"

For an in depth review of the science behind the uncertainty modules please review the Design for Monte Carlo and Propagation of Error Uncertainty in the Full Lands Integration Tool.

For an explanation of the code and functionality of the Modules please review FLINT Uncertainty Manual.

An example implementation is available here.

How to Get Involved?

moja global welcomes a wide range of contributions as explained in Contributing document and in the About moja-global Wiki.

FAQ and Other Questions

Contributors

Thanks to the following organisations for their financial support:

Thanks goes to these wonderful people (emoji key):


moja global

📆

James Leitch

💻

Mal

💻

GeoffRoberts

📖

Robert de Ligt

📖

Guy Janssen

📖

This project follows the all-contributors specification. Contributions of any kind welcome!

Maintainers Reviewers Ambassadors Coaches

The following people are Maintainers Reviewers Ambassadors or Coaches


James Leitch

💻

Mal

💻

Maintainers review and accept proposed changes
Reviewers check proposed changes before they go to the Maintainers
Ambassadors are available to provide training related to this repository
Coaches are available to provide information to new contributors to this repository

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