David Keith is right: the problem with solar geoengineering isn’t cost, it’s confidence and trust.

SAI is already cheap enough to be a "free driver", which is why SAI research needs to be open, transparent & publicly led (1/2)

heatmap.news/climate-tech...

"Through the first 6 months of this year, disasters across the US caused >$100 billion in damage, the most expensive start to any year"

-> La Nina events tend to amplify wildfires and inland storms. Luckily it shifted to neutral before hurricane season so we'll likely avoid...

People are often surprised that climate models don’t strictly conserve energy (at least I was).

A short post on why atmospheric models “leak” energy, why ocean modelers care more, and how these small biases show up in long control runs.

www.sio-climatephysics.com/notes-1/ener...

New paper! How much does uncertainty in AMOC decline contribute to uncertainty in global warming?

Led by Lily Hahn, we find:
(1) intermodel spread in AMOC decline reproduces 20% of spread in global warming
(2) ocean heat uptake & climate feedbacks contribute roughly equally

With about 80% of the precincts reporting I've seen enough. GDMI - Google DeepMind is going to win the seat for best track model in 2025. The race for best intensity model is still too close to call, but GDMI is right there with the consensus and OFCL. Quite a remarkable campaign.

There's a good essay in @science.org about the importance of free global access to climate and weather data. The atmosphere doesn't know about borders, so paywalls anywhere hurt predictions everywhere; even more so for those who can't pay

www.science.org/doi/10.1126/...

Amazing news, Angel is such a deserving MacArthur Fellow!

Angel has transformed how we think about tropical dynamics and wave-convection interactions, and his work does such a great job blending pen-and-paper theory with observations.

Here are a few of my favorite papers of his:

Interesting new @science.org paper by Spencer Hill et al shows that El Nino events weaken India's average monsoon rainfall, but *intensify* extreme precip.

They also give a neat mechanism: subsidence during El Niño dries the mid-troposphere over India...

Scientists reanalyzing Cassini data found evidence that Enceladus’ subsurface ocean contains complex prebiotic molecules. Work like this shows the importance of sustained investment in planetary science missions and of good data management and continuity

www.theguardian.com/science/2025...

I wrote a short piece on the debate about the future of climate modeling: Should we pool resources to do km-scale "masterpiece" runs or focus on using ML to build data-driven models that can still do large ensembles? 1/3

Some context on the reduction in NIH overhead rates:

In 2021-22 UC's operating budget was ~$47 billion of which $987 mill came from indirect cost recovery (~2%). 20% of this went to grant and contract administration, ~45% to UC General Fund and ~35% to the UC "Opportunity Fund"

Hopefully the damage is just 5-10% staff cuts and “searching high and low for DEI”

It’s disappointing this is all a group of tech-minded people can think to do. Now should be an exciting time for thinking about modernizing NOAA: a golden age of earth obs +rapid ML advances in WF

2024 was the warmest year on record and it also had the largest recorded increase in atmospheric CO2 (+3.58ppm).

These are related: a strong El Niño drove much of the warming and reduced carbon uptake by drying out Northern Hemisphere land

A good paper for learning about connection between California wildfires and climate change is
Williams et al (2019). They look at the historical record, but provide a nice overview of the different types of California fires and their climatic drivers…

There’s a new paper in Science adding to the discussion of the “missing” 0.2K in 2023’s extreme warmth. The authors show that the 2023 featured unusually low planetary albedo, linked to a multi-year trend of declining low clouds, particularly over the North Atlantic and tropical oceans
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