TroyArcomano

Timelapse from Sunday night

@UNLincoln didn’t just cut a program, they cut the future of Nebraska-born students and every student who lives in regions where weather and agriculture define life. Eliminating the Earth & Atmospheric Sciences program in the middle of America’s ag heartland is reckless. These students live the reality EAS teaches: drought, hail, planting windows, harvest risk, rural safety, climate volatility. This isn’t theory to them, it’s home. @RodneyDBennett and the UNL Board of Regents chose to dismantle the science that keeps farms operating, communities resilient, and students prepared to serve the industries that raised them. That’s not “prioritizing.” It’s abandoning agriculture, safety, and the students who depend on it. Nebraska deserves better. Its students deserve better. #UNL #UNLincoln #NebraskaAg #SaveEAS #WeatherScienceMatters #RuralStudentsMatter #StudentsDeserveBetter #UNLRegents #newx #wxtwitter

I will be at @NeurIPSConf next week to present OmniCast – our latest work on generative modeling for weather forecasting. OmniCast achieves competitive performance across different time scales, while being 10x to 20x faster than leading methods like NeuralGCM or GenCast.

Introducing Swift🕊️ a consistency model with 39× faster inference over diffusion baselines + the first probability flow model capable of autoregressive finetuning on domain-specific objectives. A step toward extending our generative weather models to seasonal scales...

Excited to share our 2025 ACM Gordon Bell Finalist: 🌎 AERIS, our 1.3–80B parameter pixel-level Swin diffusion transformer, addresses scaling issues in high-resolution weather forecasting using SWiPe parallelism to scale to 121,000 GPUs.

What an absolute embarrassment to have gone to this university

What kind of backward country slashes funding for severe weather forecasting?

The official NOAA "budget request" to Congress (which is a detailed version of the "President's Budget" would be devastating, and basically end all research and development. Purportedly, the proposal moves a lot of weather research and development under NWS, but doing so while eliminating the labs themselves and the CIs would get rid of most of the people and infrastructure that does this critical work. Fortunately, Congress has the final say on this, so I recommend pressuring your Senators and representatives to step in and continue allocating NOAA the resources to pursue life-saving research.

A very sad day for atmospheric science.

RT @Joshwx: Ongoing tornado NW of Miami, TX #txwx @TxStormChasers

3/16/25 3:15 PM CDT-Our storm survey team has found damage consistent with EF-4 tornado damage near Diaz (Jackson County) with estimated peak winds of 190 mph. Additional information will be provided as surveys continue in the coming days. #arwx

Had to go to NHC this morning to drop off my work computer and CAC to be sent back to EMC. It was a sad moment that hit me with the reality of the injustice that has happened to me, many others in NOAA and elsewhere, and ultimately the American people. On a happier note I also got to go talk to a middle school science class this morning about weather and hurricanes. That's always a lot of fun and a great way to start building a new generation of leaders in our field :)

Friendly reminder that every operational AI weather forecasting tool that exists today relies on processed data products distributed by @NOAA. This includes fancy MLWP models - can't run them if you don't have the outputs of the ECMWF or NOAA assimilation suites.

Morning all! I've been encouraged by the outpouring of support for all of us in NWS/NOAA. I wanted to specify a detail that I think is relevant from some conversations I've had. Most of us (at least at EMC) who were terminated were officially "probationary" because we are new federal employees, but have been working for NOAA in some capacity (usually on the contract or university side) for 5, 10, 15 years. So we're the group that has the unique combination of early career motivation/drive but also enough expertise to be quickly effective as we are promoted into new roles. This is not the group you'd get rid of if you wanted to make an organization more efficient - it's what you'd do if you want to destroy an organization. I'd like to assume the best and hope that's unintentional. Hopefully the value of what we do can be communicated effectively.

New #AIFS blog: #MachineLearning (ML) for #weather and climate has continued to evolve at breathtaking pace. Matthew Chantry takes us on a tour of the year past and gives some previews of the year to come. ➡️ ecmwf.int/en/about/media…

Trump rally speaker: “There’s literally a floating island of garbage in the middle of the ocean right now. I think it’s called Puerto Rico”

How do we push the boundaries of Bayesian Optimization to handle complex, irregular, or non-numerical search spaces? In Embed-then-Regress, we use LLM embeddings as a universal representation for string inputs, unlocking BO's potential across new frontiers where traditional methods fall short. Embed-then-Regress achieves state-of-the-art results across synthetic, combinatorial, and hyperparameter optimization tasks. Paper: arxiv.org/abs/2410.10190 Code: github.com/google-researc… 🧵A thread: #BayesianOptimization #LLMs #GoogleDeepMind

Hurricane #Milton Advisory 10A: Milton Explosively Intensifies With 175-Mph Winds. Residents in Florida Are Urged to Follow the Advice of Local Officials. hurricanes.gov

@Cyclogenesis_au @susancycles @BMcNoldy @DrKimWood @TropicalTidbits I’m worried that if people see that this will be “weakening” as it approaches Florida people will not take it seriously. Some of the worst hurricanes in US history weakened as they made landfall. Last minute weakening does not change surge (see hurricane Katrina).

Stormer is accepted at @NeurIPSConf 2024 🥳 Congrats to all authors!

🚨 Exciting Announcement! 🚨 Introducing WoFSCast: our AI-powered system for predicting thunderstorm evolution at watch-to-warning scales. 🌩️⚡ essopenarchive.org/users/829074/a…