home.social

#cyclone — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cyclone, aggregated by home.social.

fetched live
  1. WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
    --
    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
    --
    doi.org/10.1038/s41586-026-109 <-- shared paper
    --
    deepmind.google/science/weathe <-- shared data
    --
    github.com/google-deepmind/wea <-- shared GitHub repository
    --
    H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
    [this post should not be considered an endorsement of a particular organisation or their approach]
    “[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
    Here is how WeatherNext is transforming cyclone forecasting:
    • Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
    • Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
    • Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
    • Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
    [The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
    Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
    #Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
    @Google | @WeatherNext

  2. 🌪️ Oh joy, DeepMind's new #AI can now predict cyclones, because apparently, weather forecasters with decades of experience weren't doing it justice. 🤖🌀 But don't worry, it's all part of Google's master plan to create a dystopian weather channel where robots explain why your vacation was ruined. 💨😂
    deepmind.google/blog/weatherne #DeepMind #Cyclone #Prediction #WeatherTech #DystopianFuture #HackerNews #ngated

  3. 📍 ELEVEN-26 — China
    🕐 Thu 23 Jul 2026 08:39 UTC
    🌀 Cyclone Alert 🟡 Moderate
    💨 Wind: 139 km/h
    🗺️ 17.4, 128.4
    👥 Population affected by Category 1 (120 km/h) wind speeds or higher is 17.242 million

    🔗 gdacs.org/report.aspx?eventtyp

    #Cyclone #TropicalStorm #Hurricane #EarthAlerts #DisasterAlert #BreakingNews #Environment #Nature #Science #Survival #China

  4. Tempêtes, tornades, cyclones

    « C Jamy » éclaire les sujets de l’actualité par le prisme de la connaissance, avec pédagogie, gourmandise et expertise. Eveiller notre curiosité, questionner le quotidien qui nous entoure, pour nous éclairer sur tous les sujets y compris les plus surprenants, rien n’échappe à l’appétit de savoir de Jamy et de ses chroniqueurs.

    Tempêtes, tornades, cyclones : enfin comprendre la différence – C chaud – C jamy

    https://www.youtube.com/watch?v=df_CV90oHbc

    #actualité #appétit #échapper #éclairer #CJamy #changementClimatique #chroniqueurs #climat #connaissance #curiosité #cyclone #entourer #expertise #explication #fréquence #gourmandise #intempérie #météo #nature #pédagogie #questionner #quotidien #savoir #science #sujets #surprendre #température #tempête #tornade #typhon #vulgariser
  5. (28/28) ... personnes hospitalisées + population locale en #quarantaine.
    - vague de #chaleur océanique #Blob depuis 2014 = décès 4 millions de guillemots de Troïl plage Alaska + #poisson capelan/ammodyte/morues + baleines à bosse -> danger écosystèmes.
    - #Cyclone Irma îles de Saint-Martin + de Saint-Barthélemy.

    #year2016 #anthropocene #climate #climat #climatechange #climatecrisis

  6. 📍 TEN-26 — China, Viet Nam
    🕐 Wed 01 Jul 2026 21:07 UTC
    🌀 Cyclone Alert 🟡 Moderate
    💨 Wind: 83 km/h
    🗺️ 17.3, 115
    👥 Population affected by Category 1 (120 km/h) wind speeds or higher is 0 (45.965 million in Tropical Storm)

    🔗 gdacs.org/report.aspx?eventtyp

    #Cyclone #TropicalStorm #Hurricane #EarthAlerts #DisasterAlert #BreakingNews #Environment #Nature #Science #Survival #China #VietNam

  7. 📍 NINE-26 — Northern Mariana Islands
    🕐 Wed 01 Jul 2026 01:51 UTC
    🌀 Cyclone Alert 🟡 Moderate
    🗺️ 8.7, 163.3
    💨 Wind: 213 km/h
    👥 Population affected by Category 1 (120 km/h) wind speeds or higher is 50254

    🔗 gdacs.org/report.aspx?eventtyp

    #Cyclone #TropicalStorm #Hurricane #EarthAlerts #DisasterAlert #BreakingNews #Environment #Nature #Science #OffGrid #NorthernMarianaIslands

  8. 📍 NINE-26 — Northern Mariana Islands
    🕐 Wed 01 Jul 2026 01:51 UTC
    🌀 Cyclone Alert 🟡 Moderate
    🗺️ 8.7, 163.3
    💨 Wind: 213 km/h
    👥 Population affected by Category 1 (120 km/h) wind speeds or higher is 50254

    🔗 gdacs.org/report.aspx?eventtyp

    #Cyclone #TropicalStorm #Hurricane #EarthAlerts #DisasterAlert #BreakingNews #Environment #Nature #Science #Survival #NorthernMarianaIslands

  9. “The unpredictable and the predetermined unfold together to make everything the way it is.”*…

    Thinking– worrying– about the future occupies more and more of our mindshare. How do we ready ourselves for the impacts of the playing out of the myriad uncertainties we face? Your correspondent’s approach-of-choice has been scenario planning (see, e.g., here and here), a method of thinking through and making sense of those unknowns. But as we do that, we have to think against the backdrop of “pre-determined elements”– forces that are going to accrue no matter how the uncertainties resolve, no matter which scenario unfolds.

    Old friend and colleague Art Kleiner has dropped a thoughtful– and provocative– reminder of just how important understanding pre-determined elements is…

    Pierre Wack, the scenario pioneer who built Royal Dutch Shell’s celebrated foresight practice, sometimes explained his methods by talking about the Ganges river in northern India. If there are heavy monsoon rains over the Himalayan headwaters, you can tell with certainty that there will be a flood five days later at Allahabad, which is 650 miles downstream. Five days after that, he said, the floods would reach Benares.

    “Now the people down here in Benares don’t know that this flood is on its way,” he said, “but I do. Because I’ve seen it! This is not fortune telling. This is not crystal-ball gazing. This is merely describing future implications of something that has already happened.”…

    … Most of us, peering ahead, fix on anxieties and uncertainties that may or may not happen: elections, technologies, and potential crises. We imagine what might happen, and get into the habit of thinking that our fate depends on this contingency. For instance, we pin our hopes on a particular candidate getting into office.

    An alternative [your correspondent would suggest: “a critical complement”] is to look at the predetermined elements in our world as the playing field. When we recognize the true certainties, we can leap ahead to framing our choices and modulating our expectations. For example: We know it will take a long time to mitigate the effects of the climate crisis, so we invest accordingly in renewable energy. We also know our efforts to manage artificial intelligence need to happen practically overnight, so we work to rapidly build the necessary skills.

    There are two kinds of predetermined elements. The first-order trends are basic and happening now. They follow directly from events that already took place — children already born, tons of carbon already in the air, debts already incurred. The second-order ones arise from the combination of first-order forces. Their effects are less predictable, but we can’t avoid the pressures they will place on us.

    Taken together, they tell us the world of the 2030s will be markedly different from today and from most predictions being made today. For system leaders, a good list of predetermined elements gives you a start on developing scenarios that help you move to a creative orientation: creating the future you want.

    I do a lot of work with scenarios, particularly at New York University’s Interactive Telecommunications Program, where I teach a graduate-level course on the future of media and technology. Here is my list of predetermined elements facing us today…

    [Art shares a meaty– and bracing– list of both first- and second-order “pre-determineds.” He concludes…]

    The persistence of the ordinary. Against all the above sits the most underrated predetermined element of all: most people, most days, will live recognizable lives. The school, the clinic, the shop, and the family table endure because institutions change far more slowly than the forces acting on them. This is not complacency; it is the buffer that keeps the surprises survivable — and the reason that system leadership is generally local.

    It’s as if we’re all driving down a treacherous highway. We notice the accidents and cars being towed off the shoulder, and the road rage as cars cut each other off. We don’t pay attention to all the drivers who stay in lane, leaving enough space between themselves and the car in front of them. Many of those drivers have experienced past accidents; they don’t want any more. If there were more of them, the road wouldn’t be nearly so scary. Uncertain: the prevailing attitudes and what it takes to bring people to a more system-oriented perspective...

    [He then turns to the implications of his insight…]

    … The discipline of scenario thinking is a discipline of attention. It tells us where to pay attention. Which predetermined elements affect us most? Which opportunities should we focus on? And which changes do we care about most urgently?

    It is humbling and steadying at once: humbling because so much of the future is already decided, steadying because so much of it depends on what we do together.

    The predetermined elements provide a working map. The first-order forces — the aging, the warming, the sun, the grid, the genome, the debt — are the ground on which the next decade must be built. The second-order combinations — cities, pressures, robots, possible relief — are where our work takes place…

    Art’s conclusion is worth underling: first-order predetermineds are the terrain on which we will have to build our future; second order-pre-determineds are (a large part of) the agenda of issues we’ll have to address as we do; uncertainties are the unpredictable “weather” in which we’ll have to do that– guided throughout by our values and the hope that powers them. As Dennis Gabor said: “The future cannot be predicted, but futures can be invented.”

    We already know much of what’s coming in the 2030s: “The Futures We Can’t Avoid.” Eminently worth reading in full.

    * Tom Stoppard

    ###

    As we buckle up, we might recall that it was on this date in 1927 that “The Cyclone,” a wooden roller coaster in Luna Park at Coney Island, opened to the public. It wasn’t the first roller coaster at Coney Island; but with total track length of 2,640 feet, a maximum height of 75 feet, and cars that reached 60 miles per hour on a ride, The Cyclone became a signature attraction. Operating still, it was declared a New York City designated landmark in 1988 and was placed on the National Register of Historic Places in 1991.

    source

    #ConeyIsland #culture #Cyclone #future #history #planning #predeterminedElements #rollerCoaster #scenarioPlanning #TheCyclone #uncertainties #uncertainty
  10. 💁🏻‍♀️ TIL: 🧵🌐 The hairy ball #theorem says you can’t comb a #sphere smooth without a cowlick somewhere.

    The same rule explains why #Earth always has a #cyclone spinning, why #fusion reactors use #doughnut shapes, and why omnidirectional antennas can’t exist. #Wind patterns over the #Arctic and #Antarctic circles illustrate the proof.

    👉 scientificamerican.com/article

    #topology #math #weather #hurricane #nuclearfusion #tokamak #plasma #science #hair

  11. Spider v1.0.0 released.

    Spider is not just another web crawler -- it is a purpose-built wordlist and ngram processor for hash cracking workflows.

    URL Mode:
    Point it at a URL and Spider crawls the target, extracts words, and generates frequency-sorted wordlists and/or ngrams.

    But, Spider does not stop at web crawling...

    File Mode:
    Feed it local files and it brings the same word-processing engine to your own datasets, scraped content, notes, dumps, configs, or any other plaintext source you want to turn into a targeted wordlist or ngram set.

    More info:
    forum.hashpwn.net/post/52

    #spider #webcrawler #wordlist #generator #sort #ngram #cyclone #hashpwn #hashcracking

  12. "The dangers posed by the tropical cyclone are being significantly increased by human-caused global warming. In fact, one of the more confident predictions about how climate change will affect these great storms is that the winds of the strongest ones will get stronger."

    yaleclimateconnections.org/202

    #Weather #Ocean #Climate #ClimateDiary #ClimateChange #GlobalWarming #CO2 #MH4 #Cyclone #Hurricane #Typhoon #Sinlaku

  13. Explaining the Swirl of Wildfire Smoke

    In recent years, smoke from powerful wildfires has raised questions among atmospheric scientists by always swirling in the same direction. The confounding structures were observed in the stratosphere, where smoke injected at around 15 kilometers in altitude absorbed sunlight and rose further, up to about 35 kilometers of altitude. The rising column of fluid would stretch, causing any residual rotation to get stronger and form vortices.

    None of this was a surprise. What was surprising is that all of the observed vortices were anticyclones, when theory–at least for a heat-driven vortex from a stationary heating source–called for a cyclone-anticyclone pair.

    Researchers looked at how a self-heating (and, therefore, moving) source would rotate. They concluded that this, too, would create a pair of vortices–one cyclonic and one anticyclonic–but the anticyclone would be stronger than the cyclone that trailed behind it. By further considering the vertical shear the vortex pair would encounter, the researchers found that the trailing cyclone could get stripped away, leaving behind only the anticyclone–matching our wildfire observations. (Image credit: J. Stevens/NASA Earth Observatory; research credit: K. Shah and P. Haynes 1, 2; via APS)

    #anticyclone #atmosphericScience #cyclone #fluidDynamics #physics #science #vortices #vorticity #wildfires
  14. Blood red sky ahead of tropical cyclone in #Australia.

    Maybe some are beginning to wonder if it is the time of God's judgment on unrepentant man.

    #apocalypse #cyclone #storm #Jesus