ohw26_model_downsampling

This project is exploring the CANESM2 model performance relative to observations made in the region around St. Mary's Bay (Digby County) in Eastern Canada.

Folder Structure

• contributor_folders (optional) Each contributor can make a folder here and push their work here during the week. This will allow everyone to see each others work but prevent any merge conflicts. It is good if participants are new to collaborative coding.
• final_notebooks When the team develops shared final notebooks, they can be shared here. Make sure to communicate so that you limit merge conflicts.
• scripts Shared scripts or functions can be added here.
• data Shared dataset can be shared here. Note, do not put large datasets on GitHub. Speak to the organizers if you need to share large datasets. Each team member can have a version of the dataset locally in the same folder to preserve relative paths, but the dataset does not need to be added to git/GitHub (you can use .gitignore).

Collaborators

Name	Role/tasks of interest	GH Handle
Danielle Dempsey	ADCP vs FVCOM	@dempsey-CMAR
Falzan Hague	Gridding and EDA	@FaizanHaque
Aaron Mau	Historical obs. vs CMAR	@klankers
Rachel Woodside	Extract FVCOM w/ overlapping variables	@rachelwoodside

Planning

• Initial idea: "we have a model run, what does it look like against the various observations made there? If we were to rerun the model with fewer or more data points, what would happen?"
• Ideation Slide: Link
• Slack channel: ohw26_model_downsampling
• Final presentation: Add link

Background

Goals

Datasets

Workflow/Roadmap

Results/Findings

Lessons Learned

References