Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Hybrid DAMM #13

Open
AlexisRenchon opened this issue Jan 21, 2022 · 1 comment
Open

Hybrid DAMM #13

AlexisRenchon opened this issue Jan 21, 2022 · 1 comment
Assignees
Labels
enhancement New feature or request
Milestone

Comments

@AlexisRenchon
Copy link
Member

Some DAMM parameters may change in time. For example, microbial community (quantity and composition), making parameters such as Ea or alpha a function of soil temperature and soil moisture ( ? ), e.g., winter?
To track this, we could possibly implement such parameter (e.g., Ea) to be a Neural Network trained on those drivers.

@BernhardAhrens just throwing the idea in an issue for it to be saved, but we may never do this, it's up to you =) (or maybe I will do it myself eventually), please add some comments if you have ideas.

@AlexisRenchon AlexisRenchon added the enhancement New feature or request label Jan 21, 2022
@AlexisRenchon AlexisRenchon added this to the v2.0 milestone Jan 21, 2022
@BernhardAhrens
Copy link
Contributor

We have done something like this for Rb (alpha) in a book chapter but that is not published yet. To my mind, it does not make sense mechanistically to have Ea varying in time much if it does not correspond to the supply of different substrates in time which should probably be rather resolved with mechanistic modeling.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants