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 range models that play in the 10-16 day range. GFS in particular uses a 13km spaced grid that isn't convection allowing, meaning it can't model individual storms well. GFS is typically only output every 6 hours as well so it can easily get out of sync on forecasts for the day of.
It would be great to see these types of visualizations incorporate something fast and higher resolution like the HRRR or even one of the NAM/WRF 4km variants, but that is a lot more data than what is currently being ingested.
The best weather information (for US citizens) hands down is still your local NWS office. I'd recommend everyone bookmarking their site and following them on social media.
Windytv created new version where you can see fine details for many different overlays.
these winds change fast and seem unpredictable and although the connection between general weather and wind is somehow limited it seems clear to me that it must be hard to make any accurate predictions.
In my region (Portugal) their predictions regarding rain on 2-3 days are correct enough to make people come and ask me.. and the temperatures are optimized towards 'mildy'. E.g: You see 30C, count with 32-33C; 5C expect 3C. Note that only their GFS 27km model is updated and trustable on free mode.
Indeed, it reminds me of this, which has been around for years:
IMO (as an amateur) the bigger impact is for convective meteorologists that are continually watching satellite imagery and the work that places like CIMSS are doing in analyzing satellite imagery and detecting patterns indicative of severe weather. These detection algorithms will have a higher degree of confidence and can be triggered several minutes earlier now - possibly providing earlier warning for tornadoes.
CIMSS proving ground: https://cimss.ssec.wisc.edu/goes_r/proving-ground/SPC/SPC.ht...
Physically in Canada
Possibly the locale detection is limited/imperfect, with °F as a fallback.
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 various reasons, including VPNs and weird ISP shenanigans.
Second of all, as a person fluent in English, I especially don't want to see a translation of your originally English site. Most software and website translations suck hard. My most common gripe: using the same word in translated language for things named by different words in original, or vice versa.
I'd personally prefer that programs just acknowledge they're stupid and give me, the user, more control.
I like the idea of visiting Google Maps, for example, and being able to toggle snippets of this kind of weather data onto the map itself. Other useful, one-click, toggles could include:
1. Real Estate Listings for a given area
3. Forecasts & Historical weather info
4. Crime data
5. Local Events
6. Low-bandwidth settings
7. Access to publicly available real-time streaming cameras
Real estate would be a little easier via the MLS (I suspect the cost is prohibitive though) and demographic data is easily available.
If anyone is interested, IEM has a site that is rather easy to use once you find your local station ID and know how to plug it in: http://www.meteor.iastate.edu/~ckarsten/bufkit/image_loader....
I'm fan of Windytv. They also offer free API: http://api.windyty.com/
So I made tracker for around the world sailing race (Vendee Globe): https://gis.ee/vg/
It makes so much easier to follow big weather patterns.
On a side note, you can see the Himalayas doing their job: https://www.ventusky.com/?p=32.15;78.51;6&l=pressure
Ventusky is no weatherspark replacement and I don't think the models they're drawing their data from would work for one.
Warning: Sound is on by default. Disable by clicking Sound in the menu on the lower left.
Is it even possible?
edit: at 10m above the ground. at higher altitudes, it's quite faster and with a different shape
Just by looking at the NASA satellite images you could roughly predict the cloud movements for the next day and though next sunshine :)
EDIT: link https://worldview.earthdata.nasa.gov
No geoip, but a lot of information, right from the source.
The NWS radar pages are also pretty good (and again straight from the source):
There's 4 different display options for each radar, I usually use the simple loop one:
They also have regional overview pages:
Click to zoom to a local radar page.
I use this for backpacking and astrophotography to figure out precipitation and cloud patterns (as to not waste a drive out). Very helpful!
It was you, Minnesota.
I'm looking to move somewhere warmer and I was thinking a strong consistent wind would mitigate the hot summers.
Strong winds and heat are not that pleasant - look up areas that experience the Foehn wind (https://en.wikipedia.org/wiki/Foehn_wind), known as the Chinook Winds (https://en.wikipedia.org/wiki/Chinook_wind) in North America.
Wind, when it is strong enough, can be very uncomfortable, even dangerous.
I guess that what you are looking for are places with a sustained sea breeze in summer. However, these places tend to have high relative humidity, which is not comfortable.
reference to Brussels was a weak attempt at a joke:
Go to Menu > Settings > Language > English [en]
That will give you °C, mm, etc
There is a play button in the bottom left to animated the currently selected heat map over time.
i won't switch from meteoblue which has more features, a similar ui and more and much better models, at least for europe.