I am presenting today! Come to poster number 1668! #OSM26

Are you at ocean sciences meeting? Wanna hear about ocean memory and its role in climate variability?

Check out my talk at 11 am on 26th Feb in CC42B: Global Teleconnections session in Alsh-SEC.

Would love your take on ocean memory! Come by if you can make it.

#OSM26

@ricwilli.bsky.social

Are you in Glasgow for #OSM2026 ?

Check out my poster on Thursday!

I use a regional model grid hierarchy to study impact of sub-grid processes on subduction of a passive tracer in the tropical Pacific ocean.

eppro02.ativ.me/appinfo.php?... 🌊

♥️

a group of minions are standing next to each other and one of them is wearing overalls and goggles . ALT: a group of minions are standing next to each other and one of them is wearing overalls and goggles .

Woohoo! Congrats @ansoncheung.bsky.social ! This was a fun project to finish with you and @baylorfk.bsky.social

Excited to share our new paper (w/ @aakashsane.bsky.social @baylorfk.bsky.social) where we used the CESM-LME and information theory to understand Pacific decadal variability! 🌊
link.springer.com/epdf/10.1007...

I’m happy to share that I have started in a new position as Postdoctoral Fellow at The Johns Hopkins University! I am grateful for the support of the generous Dr. George S. Benton Postdoctoral Fellowship and I am looking forward to working on interesting science related to ocean physics. 😁

Preprint is out!
We use ML (equation discovery) to get equations for vertical diffusivity in the ocean surface boundary layer.
Equations also reveal & fix a structural error in the baseline physics based scheme! 😃

osf.io/preprints/os...

Work is part of the @m2lines.bsky.social project
🌊

Join our invited speakers - Ching-Yao Lai (Stanford), Sophie Abramian (Columbia), and Adam Subel (NYU) - at our #AGU25 session, "Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling".

Details: agu.confex.com/agu/agu25/pr...

Unveiling the link between phytoplankton molecular physiology and biogeochemical cycling via genome-scale modeling A genome-enabled ESM built on genomic data assesses physiological acclimation and biogeochemical effects through nutrient stress.

Earth system models are plagued by uncertainties in the response of microbes to climate change. We leveraged metabolic insights from genome scale models when coupled to an ocean model in this new exciting work 🌊

www.science.org/doi/full/10....

Very excited about giving a keynote talk in the ongoing DRAKKAR Ocean Modeling Workshop! Workshop agenda and link for live streaming are here: drakkar2025.sciencesconf.org
🌊

This notebook is a great resource to understand (1) how sub-grid parameterizations work in a climate modeling context (2) what is the Lorenz96 model (3) Explore different machine learning techniques applied to the same problem!
3/3 🌊

We then demonstrate machine learning techniques to learn the sub-grid components.
This notebook was a collaborative project between members of the @m2lines.bsky.social
The published article and link to code is here: jose.theoj.org/papers/10.21...
2/3

Our educational notebook has been published in the Journal of Open Source Education! We introduce climate modeling using a simple & computationally cheap framework- the Lorenz 96 model. The L96 model captures the essence of sub-grid parameterizations and data-assimilation used in climate models. 1/3

📌

Organized by: Simon Driscoll ( @simon-driscoll.bsky.social ), Sara Shamekh, Arun Kumar, Laura Mansfield ( @lauramansfield.bsky.social ), Michael G Bosilovich, Will Gregory ( @willjgregory.bsky.social ), and me! 🌊

Are you interested in knowing about the latest developments in sub-grid scale parameterizations in Earth System Models? Attend our AGU24 session on Thursday, 12 Dec. from 8.00 to 10.00 am, location: Marquis 12-13 (Marriott Marquis)
agu.confex.com/agu/agu24/me...
🌊

"3. Refining ocean grid spacing from 0.25 deg to 0.125 deg has systematic improvements across a number of climate relevant features."

Key points Part 2:
"1. We present case studies of selected features of the GFDL-CM4X climate model from CMIP6 piControl, historical, and SSP5-8.5 simulations.
2. Case studies include sea level, eastern boundary upwelling, sea ice, Southern Ocean circulation, and North Atlantic Ocean circulation."

"3. CM4X-p125’s active eddies and negligible spurious mixing render an equilibrated
pre-industrial ocean with 400ZJ less heat than present day."

Key points from Part 1:
"1. CM4X-p25 and CM4X-p125 are designed to study ocean and sea ice physics, focusing on effects from eddies and boundary currents.
2. CM4X-p125 reaches pre-industrial thermal equilibrium in 150 years whereas the coarser CM4X-p25 has yet to equilibrate after 1000 years."

And Part 2:
dx.doi.org/10.22541/ess...
🌊

Sharing 2 manuscripts led by Steve Griffies, NOAA-GFDL.
(I am a co-author):
Part 1: (Part 2 and key points are below)
dx.doi.org/10.22541/ess...
🌊

The strain on scientific publishing: we set out to characterise the remarkable growth of the scientific literature in the last few years, in spite of declining growth in total scientists. What is going on?

direct.mit.edu/qss/article/...

A 🧵 1/n
#AcademicSky #PhDchat #ScientificPublishing #SciPub

Thanks for the initiative, please add me!

Attending AGU? Please consider our AGU session where cutting edge developments in Machine Learning Subgrid-Scale Parameterizations will be presented: agu.confex.com/agu/agu24/me... Chairs : Simon Driscoll, Michael Bosilovich, Will Gregory, Aakash Sane. 🌊

📌 testing

Nice!

Future increase in extreme El Niño supported by past glacial changes - Nature A combination of palaeoclimate proxies and simulations shows that a common mechanism controls El Niño variation in cold and warm states, which supports expectations of more extreme El Niño occurr...

🌊🔨🐚 ⚗️

We have a new paper on how increasing atm. CO₂ & warming global temperatures will "prime" the tropical Pacific #Ocean for more *frequent* extreme El Niño events! Our simulation is validated using Ice Age data when El Niño variability was weaker than today.

www.nature.com/articles/s41...

Bluesky now has over 10 million users, and I was #2,813,743!