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Aakash Sane

@aakashsane.bsky.social

Chai addict and postdoc at Johns Hopkins working in physical oceanography. Previous postdoc at Princeton (in collaboration with GFDL). Ph.D. from Brown University. Website: https://aakashsane.gitlab.io

133 Followers  |  60 Following  |  29 Posts  |  Joined: 30.12.2023
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Posts by Aakash Sane (@aakashsane.bsky.social)

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

26.02.2026 09:31 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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

25.02.2026 21:50 โ€” ๐Ÿ‘ 1    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
OSM26

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?... ๐ŸŒŠ

22.02.2026 08:57 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

โ™ฅ๏ธ

06.01.2026 21:04 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Preview
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

06.01.2026 21:04 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Understanding the characteristics and drivers of Pacific decadal variability in the Community Earth System Model Last Millennium Ensemble

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! ๐ŸŒŠ
link.springer.com/epdf/10.1007...

06.01.2026 16:11 โ€” ๐Ÿ‘ 12    ๐Ÿ” 7    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Iโ€™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. ๐Ÿ˜

12.11.2025 02:29 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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! ๐Ÿ˜ƒ

osf.io/preprints/os...

Work is part of the @m2lines.bsky.social project
๐ŸŒŠ

23.07.2025 01:16 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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...

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...

08.07.2025 22:53 โ€” ๐Ÿ‘ 0    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
Preview
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 ๐ŸŒŠ

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

07.06.2025 20:02 โ€” ๐Ÿ‘ 38    ๐Ÿ” 17    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0
2025 DRAKKAR Ocean Modelling Workshop - Sciencesconf.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
๐ŸŒŠ

27.01.2025 22:02 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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 ๐ŸŒŠ

26.12.2024 22:47 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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

26.12.2024 22:47 โ€” ๐Ÿ‘ 3    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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

26.12.2024 22:47 โ€” ๐Ÿ‘ 3    ๐Ÿ” 1    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

๐Ÿ“Œ

13.12.2024 04:03 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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! ๐ŸŒŠ

11.12.2024 23:59 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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...

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...
๐ŸŒŠ

11.12.2024 23:59 โ€” ๐Ÿ‘ 2    ๐Ÿ” 2    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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

02.12.2024 20:10 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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."

02.12.2024 20:10 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

"3. CM4X-p125โ€™s active eddies and negligible spurious mixing render an equilibrated
pre-industrial ocean with 400ZJ less heat than present day."

02.12.2024 20:10 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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."

02.12.2024 20:10 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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...

And Part 2:
dx.doi.org/10.22541/ess...
๐ŸŒŠ

02.12.2024 20:10 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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 ...

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...
๐ŸŒŠ

02.12.2024 20:10 โ€” ๐Ÿ‘ 6    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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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 ๐Ÿงต 1/n
#AcademicSky #PhDchat #ScientificPublishing #SciPub

19.11.2024 12:27 โ€” ๐Ÿ‘ 997    ๐Ÿ” 560    ๐Ÿ’ฌ 45    ๐Ÿ“Œ 134

Thanks for the initiative, please add me!

20.11.2024 18:17 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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. ๐ŸŒŠ

13.11.2024 17:16 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

๐Ÿ“Œ testing

27.10.2024 20:14 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Nice!

26.09.2024 00:52 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Preview
Future increase in extreme El Niรฑo supported by past glacial changes - Nature A combination of palaeoclimate proxies and simulations shows that a common mechanism controls El Niรฑo variation in cold and warm states, which supports expectations of more extreme El Niรฑo occurr...

๐ŸŒŠ๐Ÿ”จ๐Ÿš โš—๏ธ

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

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

26.09.2024 00:00 โ€” ๐Ÿ‘ 62    ๐Ÿ” 21    ๐Ÿ’ฌ 8    ๐Ÿ“Œ 4
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Bluesky now has over 10 million users, and I was #2,813,743!

18.09.2024 00:07 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0