CHAMPIONS. #RockChalk

Finally, something promising in the forecast for California... my downscaled precipitation model shows quite a few members in the 3-7" range along the Sierra Crest. My snow model even has three members above 100"! Fingers crossed, we need this! #CAwx

More promising news for us California snow lovers. My downscaled model mean is now at 50" of snow at Palisades Tahoe. Still a lot of variability and time for the forecast to change, but I'm certainly optimistic! #CAwx

I will allow it. #CAwx

Forecast continues to trend in the right direction for California. My new downscaled forecast trend product at clamalo.github.io/model/pointfor…. #CAwx

Let’s talk about the weather 🌤️ It turns out it’s a drastically underutilized tool in tackling climate change. But weather prediction hasn’t experienced a step-change transformation in decades. Yet we talk about it all the time – hurricanes 🌀, wildfires 🔥, extreme heat 🥵,

Stay safe in the heat on this particularly hot Fourth of July week. 🇺🇸 About a fifth of the country is under heat alerts, as a spell of extreme heat passes from the Mid-Atlantic through the Southeast and back to Texas. ☀️ Excessive-heat warnings are in place for much of

As weather becomes more extreme, AI-driven tech could improve forecasts. Katie Fehrenbacher explains how one startup is using smart weather balloons to make a difference. Go deeper: axios.com/pro/climate-de…

Our weather balloon constellation has been busy monitoring atmospheric data across the Atlantic and around the coast of West Africa for this year’s hurricane season. 🌎 Check out a real-time snapshot of balloons launched from our permanent site on Cabo Verde, an archipelago in

The The Wall Street Journal's Eric Niiler covers how WindBorne, Google, Microsoft , and NVIDIA are leading the way in using AI to revolutionize weather prediction, making forecasts thousands of times faster and significantly more accurate. 🌥️ Niiler notes that the U.S. Air Force, U.S. Navy, and others

Most global weather models aren’t able to forecast beyond 0.1 and 0.5 degree resolution, which makes it challenging to offer useful forecasts in areas with variable terrain like bodies of water, mountains, and other forms of elevation. ⛰️ Today, conventional (physics-based)