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A new Windy update is here 👀 and we know you’ve been waiting for this one. 

Rolling out now, update in the App Store, or it’ll reach you shortly. Swipe through to see what’s new. 👉

meteoblue AI blends dozens of weather models with live observations and machine learning, check out our latest article linked in bio to learn more about it. 🔎

You see a number, you put on shorts and then you step outside and it’s colder than you thought. With the Feels like temperature you get a number which incorporates other factors like wind and humidity and gives you a much better idea about the conditions outside 🌤️ especially in changing temperatures. 

The atmosphere is always changing and forecast predictability is exactly that one tool you need to know just how much it’s changing and how much you can trust today’s forecast. ⚡️ 

Comparing different forecast models is a great feature to spot uncertainty or sureness in the forecast, now we went one step further and created separate comparison views for Clouds & Rain and also Waves (yes we heard you, ocean lovers 🌊) 

That’s not all, enjoy a few extra features and tweaks for fire fighters, pilots, Android and Garmin users. ⛅️ by @windy_forecast
9
2 months ago
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Where do you check your forecast on Windy? 📍

Most people search a location but you can also right-click any point on the map and open “Forecast for this location.” 

In the app 📲 the home button is the fastest route.

The detailed forecast shows temperature, rain, wind, wind direction and gusts. 

You can also switch to see Pollen & Air Quality, Wind, Meteogram or Airgram for more detailed forecasts for different purposes. 📊

Premium users get an hourly forecast for up to 15 days ahead and (if you’re into ocean-related activities) a detailed wave and tide forecast. 🌊 
Worth knowing if you sail, surf, or plan anything on the water. by @windy_forecast
13
3 months ago
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Not all forecast models are created equal ❄️

On Windy, models like ECMWF cover massive areas of the globe, that's a global model. Models like ICON-EU, HRRR or MSM only cover a specific region, that's a local model. They'll appear depending on where you're looking on the map.

Not sure which is which? Here's the easiest way to tell:
→ Zoom out. The coverage area makes it obvious.
→ See that distance figure next to the model name? Smaller = more local. Bigger = more global.

🌍 Global models (ECMWF) → big picture, large-scale systems moving across continents
🏔 Local models (ICON-EU, AROME) → finer resolution, better at reading complex terrain like mountains, valleys and coastlines

For snow depth in the mountains, global models can smooth over sharp elevation changes. Local models fill in those gaps — and the difference can be significant.

So next time you're planning a ski trip or a summit push, try switching between models.

Which model do you check the most? 👀 by @windy_forecast
6
7 months ago
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We know, we know, we keep saying that sounding is such a great forecasting tool, but for someone seeing it for the first time, it might not be clear why. 💡

Swipe to understand what you’re looking at, why you’re looking at it and how it can help you spot storm potential, precipitation type or a morning fog. 🌫️ by @windy_forecast
3
11 days ago
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🌩️ CAPE is the storm fuel stored in the atmosphere, in joules per kilogram (J/kg). The warmer the rising air is than the air around it, the more energy it has.

0–300 → fair weather 🌤️
300–1,000 → showers, ordinary storms 🌦️
1,000–2,500 → a proper thunderstorm day ⛈️
2,500–4,000 → severe: hail, damaging winds 🌩️
4,000+ → extreme, rare in Europe ⚡️

But fuel isn’t ignition. The energy just sits there until something lifts the air; a front, hills, or strong heating.

Want to look for yourself? Check the CAPE index layer on Windy.com and combine it with other layers like Wind, Temperature to spot a cold front and zoom in on the map for terrain detail. 

Pro tip 💡
Open Sounding on Windy for your location and look for a short stretch where the red line leans towards the warmer side instead of away from it. That’s a warm layer sitting on the atmosphere like a lid. High CAPE under a lid means nothing happens until something breaks it. 💨 by @windy_forecast
8
17 days ago
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Knowing how to spot a low pressure system can tell you way more about what’s coming than a swell forecast alone. Context is everything. Know what’s building, where it’s headed and what’s happening around you.

And the best thing you can do? Go back after a session and compare what you actually surfed to what the forecast said. 

That’s how you start to really read your spot. 🌊 by @windy_forecast
8
19 days ago
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Every forecast is a simulation. But Windy also shows you what’s actually being measured, right now, by real instruments in real places.

Weather stations. Ships and buoys. Radiosondes in the upper atmosphere. Webcams.

Swipe to learn where the measured data lives, what the four station types mean, and why a private station on someone’s roof isn’t the same as an airport reading. 📍 by @windy_forecast
0
a month ago
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Some forecasts are more reliable than others. Long-range forecasting isn’t easy, and it’s not necessarily a technology problem, it’s just the way our atmosphere works. ☁️

An unstable system or a fragile storm can make different models disagree on the forecast. 

That’s why we’ve added a predictability dot next to each day: it shows You how much to trust the forecast for that day, with any model selected. 🛰️

Swipe to see which colour to watch out for 👀 by @windy_forecast
7
a month ago
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We know that you open the app to check the weather five times a day, but if you’re not looking at these three, you might be missing out on some useful data for your forecasting. 👀 

Swipe through for a quick guide on how to read a Meteogram, Airgram and Sounding and save it for the next time you check the forecast. 💾

💡Pro tip: Check radiosonde measurements near you to see what’s actually been measured instead of calculated. How cool is it that there are balloons flying around in the sky telling you how the atmosphere is feeling today. ☁️ by @windy_forecast
5
a month ago
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Our point forecast just got an upgrade with meteoblue AI, officially the meteoblue Learning MultiModel (mLM), from our Swiss partner meteoblue 🤝

It isn’t a weather model itself. It blends existing models with live station, radar and other observations, applying weights and corrections learned from historical data.

On Windy it covers 2 m temperature and dew point, cloud cover, precipitation and its type, wind speed and gusts, and forecast predictability.

Monthly checks against global models show it comes out most accurate: its five-day temperature forecast is about as good as the best single model’s next-day forecast, and its precipitation forecasts are over 20% more accurate. 🌧️

Because it’s computed in real time per location, it’s available only as a point forecast, not as a map layer.📍

Find out more in the link below 🔗 by @windy_forecast
6
2 months ago
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Sometimes you see 26°C in the forecast, you put on shorts and then you actually feel cold for the rest of the day. We can help you avoid that now. 👀

We’ve added a small yet significant detail into the point forecast in our latest update, Feels-Like temperature. 🌡️

It’s calculated by combining the heat index for temperatures above 26°C and wind chill for anything below 11°C. Between those, the effect of wind and relative humidity are not included, so the Feels-Like temperature is the same as the forecasted air temperature. 

Read our latest article about the Feels-Like temperature linked in our bio. 🔗 by @windy_forecast
4
2 months ago
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Welcome to the team, Koen Darras. 

Nobody has crossed the Atlantic by kite. Koen wants to be the first.
In January he leaves the Canary Islands for the Caribbean via Cape Verde, around 3,000 nautical miles with no engine and no hull. Just a kite, a board, and roughly ten hours a day on the water for over a month.

Before that, Koen was in the mountains: the first person to climb the ten highest peaks of South America and Africa back to back, and Mont Blanc, Matterhorn and Eiger in nine days.

We’re proud to be supporting him on this one. Follow along. 🌊 by @windy_forecast
10
2 months ago
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