banner
LightNews
aakashsane.bsky.social
Aakash Sane
@aakashsane.bsky.social
120 followers 53 following 24 posts
Chai addict and postdoc at Princeton U. (in collaboration with GFDL) working in physical oceanography. Ph.D. from Brown University. Website: https://aakashsane.gitlab.io
aakashsane.gitlab.io
Posts Media Videos Starter Packs
Pinned
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Jul 23
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
🌊
2
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Jul 23
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
🌊
2
Reposted by Aakash Sane
simon-driscoll.bsky.social
Simon Driscoll @simon-driscoll.bsky.social · Jul 8
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...
Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling
Machine learning is reshaping the representation of complex physical processes in Earth system models, offering new avenues for parameterization, emulation, and hybrid modeling. This session focuses o...
agu.confex.com
1 1
Reposted by Aakash Sane
altagliabue.bsky.social
Prof Alessandro Tagliabue @altagliabue.bsky.social · Jun 7
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.
www.science.org
2 17 38
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Jan 27
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
🌊
2025 DRAKKAR Ocean Modelling Workshop - Sciencesconf.org
drakkar2025.sciencesconf.org
3
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 26
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 🌊
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 26
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
1 1 3
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 26
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
1 1 3
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 13
📌
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 11
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! 🌊
2
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 11
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...
🌊
Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling I Oral
Subgrid-scale (SGS) parameterizations estimate effects of unresolved processes without modeling them directly and are often a large source of uncertainty in Earth system models (ESMs). The need to imp...
agu.confex.com
1 2 2
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 2
"3. Refining ocean grid spacing from 0.25 deg to 0.125 deg has systematic improvements across a number of climate relevant features."
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 2
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."
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 2
"3. CM4X-p125’s active eddies and negligible spurious mixing render an equilibrated
pre-industrial ocean with 400ZJ less heat than present day."
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 2
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."
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 2
And Part 2:
dx.doi.org/10.22541/ess...
🌊
The GFDL-CM4X climate model hierarchy, Part II: case studies
This paper is Part II of a two-part paper that documents the CM4X (Climate Model version 4X) hierarchy of coupled climate models developed at the Geophysical Fluid Dynamics Laboratory (GFDL). Part I o...
dx.doi.org
1 1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Dec 2
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 GFDL-CM4X climate model hierarchy, Part I: model description and thermal properties
We present the GFDL-CM4X (Geophysical Fluid Dynamics Laboratory Climate Model version 4X) coupled climate model hierarchy. The primary application for CM4X is to investigate ocean and sea ice physics ...
dx.doi.org
1 6
Reposted by Aakash Sane
hansonmark.bsky.social
Mark A. Hanson @hansonmark.bsky.social · Nov 19
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
45 560 990
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Nov 20
Thanks for the initiative, please add me!
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Nov 13
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. 🌊
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Oct 27
📌 testing
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Sep 26
Nice!
1
Reposted by Aakash Sane
carbon8.bsky.social
Kau))) @carbon8.bsky.social · Sep 26
🌊🔨🐚 ⚗️

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...
www.nature.com
8 21 62
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Sep 18
Bluesky now has over 10 million users, and I was #2,813,743!
1
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Sep 3
Resharing this for the Oceanography feed 🌊
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · May 21
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
1 3
aakashsane.bsky.social
Aakash Sane @aakashsane.bsky.social · Aug 17
please add me. I am postdoc working on understanding impacts of small scale ocean mixing on climate. I use physics, machine learning, and do lots of ocean modeling.
2