Kennedy predicts hot and dry conditions from the west will shift eastward later this week, allowing for a noticeable warm-up and shift towards spring-like conditions.
"It feels like we skipped spring this year and dropped straight into a summer heatwave. What should have been a gradual snowmelt happened suddenly weeks ago. To me, this is another reminder that aging water systems need to be retrofitted for more volatile precipitation patterns."
While humans have assembled a lot of weather data, flash floods are too short-lived and localized to be measured comprehensively, the way the temperature or even river flows are monitored over time. That data gap means that deep learning models, which are increasingly capable of forecasting the weather, aren't able to predict flash floods.
Google tasked Gemini with sorting through 5 million news articles from around the world and isolating flood reports. It transformed this data into a geo-tagged series of chronological events. Next, researchers trained a model to ingest current weather forecasts and leverage the Groundsource data to determine the likelihood of a flash flood in a given area.
The input planning calculator is a robust tool that can help farmers and agronomists better understand on-farm finances while helping uncover which crops make the most sense to plant from a cost perspective. By inputting key on-farm financial and agronomic data, including seed and agronomy service costs, growers can compare each crop on their farm and explore their true cost of production.
At its core, GrainFox really helps producers and agri businesses make clear, more confident grain marketing decisions. Instead of reacting to the hot headlines of the day or relying on that gut feel, they have a structured plan that really helps guide them throughout the whole sales year.
Whole Foods shelves sit empty after a data breach shut down its wholesale distributor. Meat packers working for JBS Foods are paralyzed as an $11 million ransomware attack takes out their processing facilities. Some 2.2 million workers at Stop & Shop and Hannaford have their personal data exposed as the result of a cyberattack on parent company Ahold Delhaize USA. These scenarios, straight from a William Gibson novel, are becoming increasingly common in supply chains across the world.
Weather impacts sales. Every retailer knows it. But for most, the likelihood that it might rain, snow, or sleet on the third of March somewhere in the Midwest is rarely used. Vendors such as Weather Trends have offered accurate, long-range forecasts for more than 20 years. But the opportunity is not predicting the weather; it's knowing what to do with the data. AI might change that.
"So whenever people think about hot weather, they always talk about the temperature," he says. "There's two issues with that. First of all, most people don't realise that the temperature is measured in the shade. So if you're in direct solar radiation, the amount of heat stress you're exposed to is much greater as it will stress your body out a lot more."
While product features certainly lead consumers to purchase products, it's really how advertisers tap into a consumer's mindset, motivation and emotional state at a given moment that moves the needle. And one signal that universally drives behavior, impacting what people try, buy and how they feel is weather. From weather comes weather data, which can then power weather targeting predicting the moments when weather shifts a consumer's mindset toward purchase, delivering deeper emotional resonance that drives both immediate sales and long-term brand growth.
To live in time is to wonder what will happen next. In every human society, there are people who obsess over the world's patterns to predict the future. In antiquity, they told kings which stars would appear at nightfall. Today they build the quantitative models that nudge governments into opening spigots of capital. They pick winners on Wall Street. They estimate the likelihood of earthquakes for insurance companies. They tell commodities traders at hedge funds about the next month's weather.
WeatherA multi-day storm cycle targets the Alps this week, then reloads with colder air next weekend while snow chances continue into midweek. The western Alps look like the main winners overall, with frequent snowfall pulses and the deepest totals at higher elevations. Snow levels run high enough at times midweek to keep lower villages on the edge of wet snow or rain, then they drop sharply heading into the weekend.
Growing up outside Manchester, I spent countless summer holidays at my grandparents' farm in the Yorkshire Dales. My grandfather would step outside each morning, scan the sky, and announce with absolute certainty what the weather would do that day. No smartphone apps, no weather channel, just decades of observation. I used to think it was nonsense. How could watching birds or looking at clouds possibly compete with satellite technology? But here's the thing: he was almost always right.
Yaghi describes AI not as a silver bullet, but as an advanced form of statistical pattern recognition-tools that can identify trends in data that may be difficult or time-consuming for people to uncover on their own. The real opportunity, he says, depends heavily on what farms are already doing. Operations that are consistently collecting and digitizing high-quality data are better positioned to benefit, whether the goal is lowering per-cow costs in a dairy, improving financial analysis, or identifying operational efficiencies.
It's turned into an unusually dry winter for Northern California, and that pattern, thanks to a ridge of high pressure, is going to continue for at least the first 10 days of February. As the Chronicle meteorology team tells us, the dry and balmy conditions will be with us through Super Bowl Weekend and beyond, continuing a pattern that has left the Sierra snowpack mighty low.
Warwick, N., Griffiths, P., Keeble, J., Archibald, A., & Pyle, J. Atmospheric implications of increased Hydrogen use. GOV.UK https://www.gov.uk/government/publications/atmospheric-implications-of-increased-hydrogen-use (2022).
Wildfire prevention has traditionally relied on blunt tools, such as rigid inspection cycles and emergency power shutoffs. Now a new generation of technology start-ups is pitching a more targeted approach: using artificial intelligence to help utility companies decide what to inspectand where to intervenebefore a spark becomes a blaze. The stakes are rising. In 2025 more than 77,000 wildfires were reported in the U.S.significantly more than the past decade's averageand burned more than five million acres.