Mark J. Webb @markjwebb
Climate scientist working on cloud feedbacks, climate sensitivity, hydrological sensitivity and machine learning. metoffice.gov.uk Exeter, U.K. Joined March 2009-
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We also applied AlphaEvolve to over 50 open problems in analysis ✍️, geometry 📐, combinatorics ➕ and number theory 🔂, including the kissing number problem. 🔵 In 75% of cases, it rediscovered the best solution known so far. 🔵 In 20% of cases, it improved upon the previously…
Human generated data has fueled incredible AI progress, but what comes next? 📈 On the latest episode of our podcast, @FryRsquared and David Silver, VP of Reinforcement Learning, talk about how we could move from the era of relying on human data to one where AI could learn for…
The original RL algorithms, inspired by natural learning, were online and incremental—they were streaming in the sense that they learned from each increment of experience as it happened, then discarded it, never to be processed again. The streaming algorithms were simple and…
The original RL algorithms, inspired by natural learning, were online and incremental—they were streaming in the sense that they learned from each increment of experience as it happened, then discarded it, never to be processed again. The streaming algorithms were simple and…
Excited to announce a pre-print of my first paper as part of my PhD at @BristolUni! We’ve created a generative ML emulator of a UK convection-permitting climate model (CPM). It’s able to produce simulations of high-res precipitation at far lower computational cost.
Programming is changing so fast... I'm trying VS Code Cursor + Sonnet 3.5 instead of GitHub Copilot again and I think it's now a net win. Just empirically, over the last few days most of my "programming" is now writing English (prompting and then reviewing and editing the…
Feedbacks, Pattern Effects, and Efficacies in a Large Ensemble of HadGEM3-GC3.1-LL Historical Simulations | Harry Mutton et al. #JGR agupubs.onlinelibrary.wiley.com/doi/10.1029/20… We have a new paper in #JGR that utilizes a large ensemble (50 member) of HadGEM3-GC3.1-LL historical simulations 🧵[1/n]
Article: Inhibition of atmospheric convection by dry air intensifies moist heatwaves, and this process may further increase moist heatwaves under climate warming @Duan_Suqin nature.com/articles/s4156…
🎉New preprint on hybrid physics-ML climate modeling is out! 📣 “Sampling Hybrid Climate Simulation at Scale to Reliably Improve Machine Learning Parameterization” arxiv.org/pdf/2309.16177 Led by Jerry Lin @jlin404 @uciess @UCIPhysSci @LeapStc 🧵
Cannot believe this finally happened! Over the last 1.5 years, we have been developing a new LLM architecture, with linear complexity and expressive hidden states, for long-context modeling. The following plots show our model trained from Books scale better (from 125M to 1.3B)…
Really cool results - i never cease to be amazing how #ML models break new ground every day, accelerating the weather & climate revolution at an unprecedented pace :) Stay tuned for more interesting work in this space @ECMWF with our partners, also in the framework of #DestinE
First light from #EarthCARE!!! This is an incredible moment - the first ever global measurements of cloud, snow and rain fall speeds. The reflectivity is beautifully detailed and the fall speeds are clearer than we could possibly have dreamed of! (1/4)
First light from #EarthCARE!!! This is an incredible moment - the first ever global measurements of cloud, snow and rain fall speeds. The reflectivity is beautifully detailed and the fall speeds are clearer than we could possibly have dreamed of! (1/4)
Hey everyone, I finally got a new role at the @metoffice. I'm scoping what a data-driven climate model might look like. So, if you're into ML and climate, foundation models or something more lightweight, get in touch. It would be great to chat.
A big update to ARCO-ERA5 landed this week -- we now have a copy of ERA5 on native vertical levels with regular 0.25° horizontal resolution. This ~6 PB dataset is freely available as part of Google's public datasets program: github.com/google-researc…
Another new preprint from @nvidia Earth-2 research. I love this ML paradigm for data assimilation pinned on skillful unconditional diffusion based state generators guided by obs during inference alone. Grateful to learn from inspiring AI researchers and a very productive intern!
Another new preprint from @nvidia Earth-2 research. I love this ML paradigm for data assimilation pinned on skillful unconditional diffusion based state generators guided by obs during inference alone. Grateful to learn from inspiring AI researchers and a very productive intern!
Looking for a mind-growing distraction? How about my 3 part intro to Bayesian causal inference. It's like a condensed version of my book, 10 weeks of causal computation in 3 short blog posts. Take with plenty of water. elevanth.org/blog/2021/06/1…
The WeatherBench2 paper has been published in JAMES! doi.org/10.1029/2023MS… Big congrats to @raspstephan, who did all the heavy lifting on this project.
New paper “Possible Shift in Controls of the Tropical Pacific Surface Warming Pattern” by Watanabe et al. - @Nature nature.com/articles/s4158…
I'm excited to share a new paper in @ScienceAdvances led by UW's @VTCoop showing that the last ice age provides much stronger constraints on Earth's climate sensitivity and future warming when ice-sheet driven temperature patterns are accounted for. science.org/doi/10.1126/sc…
New paper in @PNASNews led with @cristiproist shows that a weird spatial pattern of temperature change has slowed global-mean warming since 1980. Because the pattern could evolve in the future, observed warming doesn’t help us constrain long-term warming. pnas.org/doi/10.1073/pn…

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