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Ventusky – Weather data visualization

ventusky.com

61–70 of 117 posts

Re: Ventusky – Weather data visualization

#62

Looks very similar to Windytv ( https://www.windytv.com/ ). Are these websites somehow related?

They are not, the only common thing is that they are Czech companies. Windytv provides ECMWF model (for free), which beats Ventusky in big way.

Can you explain the significance of that

Re: Ventusky – Weather data visualization

#66

Offshoot topic. How can I find the windiest places in the us? I'm looking to move somewhere warmer and I was thinking a strong consistent wind would mitigate the hot summers.

I live in a windy place, in Europe, and I suggest you to reconsider your decision.

Re: Ventusky – Weather data visualization

#68
Cool! This reminds me a bit of weatherspark, which used to have a fantastic tool for visualizing long term trends. What were the 10th/50th/90th percentile temps for a given day over the last 30 years, etc. I wonder if the data sets here could be used to build something similar.

Re: Ventusky – Weather data visualization

#69
post #13

Earlier quoted context omitted.

Also Celsius for me, seems likely to be region/locale based (as it should be, I'd say).

Call me weird, but I hate when a program or service uses regions or locales to determine stuff like temperatures or languages. First of all, it often does it wrong - especially when using geographical location, which is one of the dumbest idea I've seen in computing. GPS fails when people are traveling (just because I'm in Germany right now, doesn't mean I want to see websites in German, etc.). GeoIP fails for variou…

To generalize this: when programs try to be clever, they often wind up being stupid.

I'd personally prefer that programs just acknowledge they're stupid and give me, the user, more control.

Re: Ventusky – Weather data visualization

#70

This is a great visualization of free data, although not the first in this style, but it's usefulness in actual forecasting or nowcasting is rather limited. Interpolation between sparse grid points can result in missing fine details, like the subtle boundaries that kick off the most violent storms in the central Plains. Limiting to just GFS and GEM make sense from a proof of concept level, however these are long rang…

Will GOES-16 improve the existing models? Or is the plan to create new models? I'm really curious to know how the higher resolution images will be used.
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