Marcus van Lier-Walqui's Avatar

Marcus van Lier-Walqui

@mvanlierwalq.bsky.social

atmospheric scientist trying to make clouds more fluffy, rain more wet, and climate models more climate-y. NYC, NASA/GISS, Columbia, LEAP.

146 Followers  |  83 Following  |  22 Posts  |  Joined: 19.10.2023  |  2.1791

Latest posts by mvanlierwalq.bsky.social on Bluesky

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Godfather of climate science decries Trump plan to shut Nasa lab above Seinfeld diner: ‘It’s crazy’ Over breakfast at Tom’s Restaurant, right below the historic Giss lab, James Hansen calls Doge’s decision a ‘big mistake’

Nice Guardian article about us losing our office in Manhattan
www.theguardian.com/environment/...

21.05.2025 14:45 — 👍 10    🔁 5    💬 0    📌 2
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What a night, what a performance from this far from 100% team, one of the great European nights at the Emirates.

Declan Rice has produced two of the greatest free kicks you'll ever see at this level, and we 100% deserved that third goal too.

Incredible. This team deserves so much love. #arsenal

08.04.2025 20:57 — 👍 3481    🔁 399    💬 157    📌 39
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About our agency NOAA is an agency that enriches life through science. Our reach goes from the surface of the sun to the depths of the ocean floor as we work to keep the public informed of the changing environment aro...

“Why do I need NOAA? I’ve got a weather app.”

Is equivalent to asking

“Why do I need farms? I can go to the supermarket.”

www.noaa.gov/about-our-ag...

09.02.2025 04:22 — 👍 3926    🔁 1286    💬 51    📌 56

Jeez that last berm so decisive

01.02.2025 15:02 — 👍 1    🔁 0    💬 0    📌 0

Huge for del Grosso! Wish it was broadcast

12.01.2025 15:07 — 👍 0    🔁 0    💬 0    📌 0
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I strongly recommend a stand mixer!

12.01.2025 14:39 — 👍 0    🔁 0    💬 0    📌 0
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Liege Waffle Recipe / Gaufre de Liège Recette Authentic Liège waffles are one of life’s great indulgences — caramelized sugar glistening on a tender, buttery, vanilla-laden joy for the senses. Unfortunately, the “original recipe” has been long…

In case anyone is curious about the recipe! liegewaffle.wordpress.com/liege-waffle...

12.01.2025 14:37 — 👍 0    🔁 0    💬 1    📌 0

With people blaming the LA fires on lesbian firefighters, space lasers, Oprah, Canadians, Mexicans, homeless people, and DEI initiatives, focusing your complaints on people justifiably mentioning climate change as a factor is… a choice.

12.01.2025 14:00 — 👍 203    🔁 29    💬 8    📌 2
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In honor of Belgian Cyclocross National Championship

12.01.2025 14:12 — 👍 4    🔁 0    💬 1    📌 0

👀

21.12.2024 14:52 — 👍 0    🔁 0    💬 0    📌 0

Schreiber drive side dismount has been paying off there tho

21.12.2024 13:30 — 👍 1    🔁 0    💬 0    📌 0
The Death of Autoconversion? Liquid drop growth via collision-coalescence drives warm rain and modulates low...

"A44A-03: The Death of Autoconversion?"

Before you lament, come hear Kaitlyn Loftus + @mvanlierwalq.bsky.social TODAY @ #AGU24: 16:20p in 201 (Conv. Ctr)!

https://buff.ly/3VBECDV

#NSF @agu.org #CUSEAS @columbiaclimate.bsky.social

12.12.2024 20:00 — 👍 2    🔁 1    💬 0    📌 0
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LEAP #MomentumFellow23 Mohammed Erfani presents "A33J-08: Spatiotemporal ML Models for Emulation of Atmospheric Composition" TODAY @ 15:30p, Salon H! https://buff.ly/4gtYhh1

@karadlamb.bsky.social + @mvanlierwalq.bsky.social

#LEAPEducation #AGU24 #NSF #CUSEAS
@agu.org
@columbiaclimate.bsky.social

11.12.2024 19:15 — 👍 5    🔁 2    💬 0    📌 0
Discovering a Model for Depositional Ice Growth from Observations Using Neural Ordinary Differential Equations and Symbolic Regression Depositional ice growth is an important process for the growth and evolution of...

Take a stroll to see "A31G-1810: Discovering a Model for Depositional Ice Growth from Observations Using Neural Ordinary Differential Equations + Symbolic Regression" (by Kara Lamb), TODAY at #AGU24!

https://buff.ly/4ffc7CZ

#NSF #CUSEAS @agu.org @columbiaclimate.bsky.social

11.12.2024 13:25 — 👍 3    🔁 2    💬 0    📌 0
How well can power laws describe microphysical processes in bulk schemes? Understanding and accurately simulating cloud microphysics is crucial for impro...

"How Well Can Power Laws Describe Microphysical Processes in Bulk Schemes?"

Arthur Hu, @mvanlierwalq.bsky.social + Kaitlyn Loftus have ideas for you this morning in their #AGU24 poster (A31B-1693)! https://buff.ly/49sVAtT

#NSF #CUSEAS @agu.org @columbiaclimate.bsky.social

11.12.2024 12:50 — 👍 3    🔁 1    💬 0    📌 0
Challenges and opportunities for unified top-down and bottom-up constraint of ESM parameterizations I will present work using perturbed parameter ensembles (PPEs) of models at mul...

LEAP closes out Day 1 w/ @mvanlierwalq.bsky.social presenting "GC14E-08: Challenges and Opportunities for Unified Top-down + Bottom-up Constraint of ESM Parameterizations" - 15:12pm in Salon C!

agu.confex.com/agu/agu24/me...

#AGU24 #NSF @columbiaclimate.bsky.social @columbiauniversity.bsky.social

09.12.2024 21:21 — 👍 2    🔁 1    💬 0    📌 0

🧛

07.12.2024 14:16 — 👍 1    🔁 0    💬 0    📌 0

Gets at an interesting issue. In trad ESMs, large scale interactions & processes are explicitly modeled via cloud parameterizations, but these large scale features are emergent properties of microphysics in km-scale models, which that may be more strongly nonlinear & harder to investigate via PPEs

04.12.2024 17:53 — 👍 1    🔁 0    💬 0    📌 0

but if it's warm rain processes (rather than cold/mixed phase), then rain drops will tend to be smaller. However, in that case, rain water content will be systematically underestimated by reflectivity alone.... so the rain will seem wetter than radar would indicate!

25.11.2024 19:18 — 👍 1    🔁 0    💬 1    📌 0

MacKay's book on Information Theory, Inference, and Learning Algorithms is one of my all-time favorites! RIP indeed.

25.11.2024 19:15 — 👍 2    🔁 0    💬 0    📌 0

The criticism here also applies to the performative aspects of DEIA that I find annoying insomuch as they fail to address any of the structural issues that imperil the most vulnerable people (e.g. early career scientists who lack stability, money, and privilege) in our field

25.11.2024 14:21 — 👍 0    🔁 0    💬 0    📌 0
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‘Woke’ didn’t lose the US election: the patrician class who hijacked identity politics did | Nesrine Malik Why is this simple explanation being so widely embraced? Because it does not require a commitment to real, structural change, says Guardian columnist Nesrine Malik

This brilliant Guardian piece by Nesrine Malik cuts through the chaff like a hot knife through half-melted ice cream.
"'Doing the work' focused on interpersonal dynamics of racism rather than on structural ones"
www.theguardian.com/commentisfre...

25.11.2024 14:14 — 👍 0    🔁 0    💬 1    📌 0

I remember being fascinated (in high school!) by JET and the promise of ITER. Would sincerely love to see this tech succeed and prove wrong my worries that this buzz is an oversell.

18.11.2024 15:48 — 👍 0    🔁 0    💬 0    📌 0

progress! 60 years ago we were 30 years away.

18.11.2024 15:44 — 👍 1    🔁 0    💬 1    📌 0
Capt. Grace Hopper on Future Possibilities: Data, Hardware, Software, and People (Part One, 1982)
YouTube video by National Security Agency Capt. Grace Hopper on Future Possibilities: Data, Hardware, Software, and People (Part One, 1982)

I'm sure many have seen this wonderful presentation by Grace Hopper; it's worth underlining her point (multiple times, with permanent marker) the need to listen to young scientists, advocate for their careers, and get out of the way when they can lead. www.youtube.com/watch?v=si9i...

18.11.2024 15:22 — 👍 2    🔁 0    💬 0    📌 0

A few unfortunately glib arguments made to make a point. for ex, even if it's not surprising that airports disrupt sleep in nearby neighborhoods, it's still important to measure how severe & how widespread the disruption is. Some serious points buried in this sort of unserious baiting.

18.11.2024 15:18 — 👍 0    🔁 0    💬 0    📌 0

Feel free to ask me q's!

14.11.2024 02:55 — 👍 0    🔁 0    💬 0    📌 0

Some takeaways:
1. It works! We tune 45 parameters w appx 700 ensemble members & 36 satellite metrics
2. Strong evidence that *virtually all* parameters are important for tuning
3. Observational uncertainty & its definition it plays a big role
4. We coin the term "CPE" Calibrated Physics Ensemble

14.11.2024 02:53 — 👍 1    🔁 0    💬 1    📌 0
Using Machine Learning to Generate a GISS ModelE Calibrated Physics Ensemble (CPE) A document by Gregory Elsaesser. Click on the document to view its contents.

Am hesitant to get back into social media after my blissful year+ twitter hiatus, but here's a preprint of Greg Elsaesser and my (and others) work on using Bayesian inference, machine learning, and satellite observations to tune the NASA ModelE Earth System Model essopenarchive.org/users/538881...

14.11.2024 02:50 — 👍 3    🔁 1    💬 1    📌 0

better to commit finite computational resources to big perturbed-parameter ensembles to improve GCM physics, or invest in km-scale global sims? (assuming we can't do both in the near-term)

20.10.2023 00:39 — 👍 0    🔁 0    💬 0    📌 0

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