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

Towards convergence DMQC time response #160

Open
soerenthomsen opened this issue Nov 18, 2021 · 2 comments
Open

Towards convergence DMQC time response #160

soerenthomsen opened this issue Nov 18, 2021 · 2 comments
Assignees
Labels

Comments

@soerenthomsen
Copy link
Member

soerenthomsen commented Nov 18, 2021

At the moment we show 4 different implementations of the time response correction in the DMQC section.
How could we make progress in converging? This might be an issue when publishing the SOP.

This issue will remain open throughout the whole community review.

@soerenthomsen soerenthomsen added the WIP Not ready to merge label Nov 18, 2021
@soerenthomsen
Copy link
Member Author

soerenthomsen commented Nov 19, 2021

https://www.oceanbestpractices.org writes "A best practice is a methodology that has repeatedly produced superior results relative to other methodologies with the same objective; to be fully elevated to a best practice, a promising method will have been adopted and employed by multiple organizations."

I would like to discuss how we could get here. i.e. with test datasets and run the code through all different approaches to quantitively show under which condition, platform etc which method gives better results?

This goes back to @tomhull suggestion for a publication happy to support moving this forward during the next months/year.

@tomhull
Copy link
Collaborator

tomhull commented Feb 23, 2022

Just a bump that I am still working on this, and will be looking for collaborators with other datasets soon.

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

No branches or pull requests

4 participants