Nice Guardian article about us losing our office in Manhattan
www.theguardian.com/environment/...
21.05.2025 14:45
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Nice Guardian article about us losing our office in Manhattan
www.theguardian.com/environment/...
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
“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...
Jeez that last berm so decisive
Huge for del Grosso! Wish it was broadcast
I strongly recommend a stand mixer!
In case anyone is curious about the recipe! liegewaffle.wordpress.com/liege-waffle...
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.
In honor of Belgian Cyclocross National Championship
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Schreiber drive side dismount has been paying off there tho
"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
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
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
"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
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
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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
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!
MacKay's book on Information Theory, Inference, and Learning Algorithms is one of my all-time favorites! RIP indeed.
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
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...
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.
progress! 60 years ago we were 30 years away.
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...
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.
Feel free to ask me q's!
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
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...
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)