Title: Exploring the Euphotic Zone Residence Time for Lower Cell Water Mass
Abstract: This study uses the ACCESS model and virtual particle tracking to estimate the residence time of the lower cell water mass in the euphotic zone. We tried to consider different factors affecting light conditions as much as possible, and further attempted to estimate the total photosynthetically available energy absorbed by the lower cell water mass in the euphotic zone.
Registration for the 2023 COSIMA workshop is now open!
Please register here. Registration closes 5pm 16 July 2023, but please register as early as possible to assist with our planning.
The workshop will be held in Canberra, on Thu 7th - Fri 8th September.
It will be preceded by a MOM6/ACCESS-OM3 planning/hackathon day and ACCESS-NRI training day on Mon 4th September, and the 2023 ACCESS community workshop on Tue 5th - Wed 6th September, so we encourage COSIMA folks to stay for the whole week.
Just a friendly reminder that registration for the COSIMA workshop closes this weekend. (If you don’t have a final presentation title yet, feel free to register with a vague description of your general topic.)
Thanks to everyone who has already registered - looking forward to seeing you there!
We’ll be doing something a little different this week. Last year’s workshop identified the need to improve our process for on ramping new users. I’d like us to discuss what we need to do, and start working on how to make this process smoother. It would be ideal to have input from every level of experience from complete novices to seasoned professionals.
The rough agenda for this meeting will be:
Announcements
Discussion about managing the Australian node of MOM6 (Angus and Andy, ~10 minutes)
Discussion of on ramping and how to improve the process
We’ll be hearing from Noah Day about the marginal sea ice zone.
The rough agenda for this meeting will be:
Announcements
Noah Day - Unsupervised classification of the Antarctic marginal ice zone
Abstract:
The MIZ is commonly defined as an area of sea ice influenced by ocean surface waves. We use standalone CICE6 model, which incorporates a floe size distribution and considers atmospheric, oceanic, as well as wave forcing, to create a dataset of Antarctic sea ice from 2010 to 2020. Unsupervised statistical methods classified distinct sea ice regions based on the properties of sea ice. This classification allowed us to identify the dominant processes contributing to the seasonal shift between a winter and summer MIZ. Notably, our unsupervised sea ice classification agrees with waves-in-ice estimates derived from satellite altimetry data.
I hope you’re all recovering from the excitement of last week. To aid with your recoveries, we won’t have a COSIMA meeting tomorrow. I hope you all find some lovely sunshine and go frolicking.
The following week we will hear from Dougie and possibly Romain about intake catalogues and how to efficiently get your hands on the vast amounts of data stored by NCI.
@adele-morrison mentioned ACCESS-OM3 development support. It would be great if we could start the discussion around what the community thinks is needed for evaluation (Data, recipes etc)