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WeatherNext 3

deepmind.google

21–30 of 115 posts

Re: WeatherNext 3

#21
post #8

Earlier quoted context omitted.

I'm not seeing that kind of demo. I just see a video, a bunch of future-tense words about what could be done by someone, and the requisite hype. Link? edit: The link for the demo is as thus, https://deepmind.google.com/science/weatherlab

Click on "Explore Weather Lab" at the bottom of the page

After signing in I get a 404.

404. That’s an error.

The requested URL was not found on this server. That’s all we know.

Re: WeatherNext 3

#22
There's reduced data available for initial conditions, so I wonder how that will effect things:

* https://apnews.com/article/weather-forecasts-worsen-doge-tru...

* https://www.independent.co.uk/news/world/americas/us-politic...

A good book on the history of forecasting, The Weather Machine: A Journey Inside the Forecast:

* https://www.andrewblum.net/the-weather-machine-2

Re: WeatherNext 3

#23
The online viewer could really, really use Wind Direction as a compass bearing. Its super important considering wildfire/bushfire, air quality, ocean-going conditions, and a myriad of other things. It is produced as a set of vectors during model creation, so would be very useful to see.

Re: WeatherNext 3

#24

Earlier quoted context omitted.

A few weather forecast sites in Europe have them on their websites. It's just another forecast you can select and compare in an ensemble. Problem is that the WN3 grid is still quite rough (5km) - but a that's a brutal improvement for many places compared to many other global models. Quite a few country-scale models go down to a 1-2km grid nowadays. This is very helpful in complex geography like mountains and alleys.

You could use this model as another input into the country-scale models.

This would not likely be a great idea since you reduce your ability to understand inputs except for a few parameters. Explainable inputs become very important for many down the line processes used by government and industry alike, because said inputs and their predictive certainty can be quite informative, even critical, for accurate mesoscale prediction.

If model members were available, with all the usual measures, thats a fantastic place to start looking at serious inclusion. It doesnt seem thats the case, however.

Re: WeatherNext 3

#25
post #19

Earlier quoted context omitted.

It's literally right below that-- the "Explore Weather Lab" button.

The button label is "Explore Weather Lab", isn't it? (I'm not trying to be pedantic, but if someone is having trouble finding the button, the exact text is helpful.) Also, here's where the button takes you: https://deepmind.google.com/science/weatherlab

Apologies, was walking and distracted. Corrected my comment.

Re: WeatherNext 3

#26

The online viewer could really, really use Wind Direction as a compass bearing. Its super important considering wildfire/bushfire, air quality, ocean-going conditions, and a myriad of other things. It is produced as a set of vectors during model creation, so would be very useful to see.

I agree but this seems like a demo for the underlying data set. The data is the product and they want to sell or use it downstream.

Re: WeatherNext 3

#27
It's great that they're working on this, but I am puzzled at how absolutely awful the forecasts are in the Google weather app for my area. The forecast will show no rain, the radar view shows nothing, meanwhile it's pouring outside and every other app I check shows it. I know I can't expect it to be perfect, but being terribly wrong even one in ten times is enough to tarnish its reputation permanently.

Re: WeatherNext 3

#28
post #17

Earlier quoted context omitted.

Clicking "Try WeatherNext 3" at the top of the page takes you to the section with different ways to use it.

Negative. Clicking on any appearance of "Try WeatherNext 3" brings me to this nonsense: WeatherNext 3 is being integrated into the Google products and tools that billions of people rely on – like Search, Maps, and Gemini. The model is also available for enterprise use, across a range of different applications. Gain access to high-resolution forecasts, without model setup. Including real-time operational data and hist…

You're saying these buttons took you to different pages than what was described?

https://i.imgur.com/IVv4y0n.png

Keep in mind both button are "the demo". One is for trying out the API yourself, the other is for seeing a pre-made dashboard.

Re: WeatherNext 3

#29

It's great that they're working on this, but I am puzzled at how absolutely awful the forecasts are in the Google weather app for my area. The forecast will show no rain, the radar view shows nothing, meanwhile it's pouring outside and every other app I check shows it. I know I can't expect it to be perfect, but being terribly wrong even one in ten times is enough to tarnish its reputation permanently.

Same experience. I moved to Windy and I just look at the weather radar and make my own prediction.

I guesstimate that it has less than 50% accuracy for my area

Re: WeatherNext 3

#30

The exploration page is really easy to use. Having more reliable weather predictions is a genuinely useful product.

I disagree.. Feels very sloppy to me:

- Time is UTC rather than local by default.

- Units are imperial rather than metric (i.e. not basing it on users locale)

- The concept of init time is not initially clear at all, so it's confusing when you click the calendar icon to see the weather forecast for a future date only to see it isn't an option, you have to use the slider.

- When changing the sidebar to the "detailed" view, most of the hovering element is cut off by the container so you can't actually read it.

And it took longer to write this comment than it did to find these issues. It's fine since it's clearly marked as experimental, but I disagree that it's "really easy to use" :p

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