🌊🌏🧪 How do you say ocean mixing in your first language(s)?

Excited to share my paper is out in Geophysical Research Letters! 🚨 Neural networks --> Equation discovery! 🚨 Find our paper here: doi.org/10.1029/2026... This work is an example of hybrid modeling, where machine learning enhances a component of a larger model. ... 1/4

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?... 🌊

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...

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....

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.

science.org

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 🌊

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

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... 🌊

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

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. 🌊

🌊🔨🐚 ⚗️ 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...

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...

nature.com

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

Resharing this for the Oceanography feed 🌊

Aakash Sane@aakashsane.bsky.social · 2y ago

In this manuscript, we show how to use metrics from information theory to estimate relative contribution between intrinsic vs extrinsic variability in ensemble models. These metrics can be applied even when data is non-Gaussian. agupubs.onlinelibrary.wiley.com/doi/10.1029/...

In this manuscript, we show how to use metrics from information theory to estimate relative contribution between intrinsic vs extrinsic variability in ensemble models. These metrics can be applied even when data is non-Gaussian. agupubs.onlinelibrary.wiley.com/doi/10.1029/...

Internal Versus Forced Variability Metrics for General Circulation Models Using Information Theory

<em>Journal of Geophysical Research: Oceans</em> is an AGU oceanography journal publishing new understanding of the ocean and its processes, and their interactions with other components of the Earth s...

agupubs.onlinelibrary.wiley.com

Sharing my latest article: agupubs.onlinelibrary.wiley.com/doi/10.1029/...

Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer Using Neural Networks

<em>Journal of Advances in Modeling Earth Systems</em> is an AGU earth systems modelling journal that publishes original research articles covering models at all scales in understanding the physical Earth system.

agupubs.onlinelibrary.wiley.com