News

The Indian Ocean Bubble Issue 23 is available online

The latest issue of The Indian Ocean Bubble-2 is accessible at https://iioe-2.incois.gov.in/IIOE-2/pdfviewer_pub.jsp?docname=IIOE-2-DOC_OM_327.pdf

Special Thanks to All Authors for their enthusiastic contributions !

Informal articles are welcome for our next issue. Contributions may include Indian Ocean studies, cruises, conferences, workshops, tributes to other oceanographers etc.. Articles may be up to 1500 words in length (MS-Word) accompanied by suitable figures, photos (separate.jpg files).

Deadline: 25th November, 2026.

Your Contributions may be sent as usual to iioe-2@incois.gov.in

Call for Nominations – SOOS Ross Sea RWG

Call for Nominations: Ross Sea RWG Leadership Team

The Southern Ocean Observing System (SOOS) is seeking nominations, including self-nominations, for new members of the leadership team of the Ross Sea Regional Working Group (RWG).

This is an opportunity to help strengthen international coordination of observations and research in the Ross Sea, contribute to the strategic direction of the working group, and build connections across the Southern Ocean community.

Deadline: 12 July 2026

More information and how to apply: https://soos.aq/opportunities/#opportunity-3

4D-BGC Webinar #10 – Said Ouala

We are pleased to announce an upcoming 4D-BGC webinar on Wednesday, July 8th, at 13:00 UTC / 15:00 CEST. Said Ouala from IMT Atlantique will present Neural-BGC: Neural Network emulation of BGC from T/S data for interpolation and coupled Physics-BGC simulations. More information can be found below:

Wednesday, 8 July, 2026 at 3 pm CEST / 1 pm UTC

Registration Link: https://washington.zoom.us/meeting/register/MbV5ougcSqWOJBd0NF-oHw

Meeting ID: 976 9119 4859  ●  Passcode: 634738

Find your local number: https://us06web.zoom.us/u/kdy6pLJAeC

 

SCOR Working Group 168 Webinar #10

 Title: Neural-BGC: Neural Network emulation of BGC from T/S data for interpolation and coupled Physics-BGC simulations

 Presenter:

Said Ouala

IMT Atlantique

 

Ocean biogeochemistry (BGC) regulates key variables such as oxygen and nutrients that are essential for marine ecosystems and the global carbon cycle. However, BGC observations remain sparse, and BGC models rely on poorly constrained parameters and processes. To address these limitations, we developed Neural-BGC, an AI model trained on millions of ocean observations collected since 1965. Neural-BGC emulates BGC variables from temperature and salinity fields. It is used both for interpolation and coupled physics-BGC simulations. For interpolation, the model estimates BGC variables from available temperature and salinity observations, and these estimates are combined with direct oxygen measurements through optimal interpolation to produce gridded products. When coupled to a physical ocean model, Neural-BGC reproduces  biogeochemical features, including the oxygen minimum zones of the Indian Ocean and nutrient-rich blooms in the Canary Current Upwelling System.

You can view and subscribe to the 4D-BGC webinar calendar here:

https://calendar.google.com/calendar/u/2?cid=c2Nvci53Zy4xNjhAZ21haWwuY29t

4D-BGC webinars are recorded, and previous presentations can be found at https://www.youtube.com/@4D-BGC