Which model should Windy implement next? Please vote.
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Vote number 1: HIRLAM
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Vote number 2: HRRR😍
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Vote Number 2
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@Robinzony said in Which model should Windy implement next? Please vote.:
Vote 2: AROME
Vote 2: AROME
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would love get harmonie model implemented from fmi, but i guess hirlam would be fine too
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Any options to get HIRLAM SKA data? Should significantly improve the resolution. If no I vote 2.
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@ivo HRRR #3 DEFINITELY
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#2 AROME please
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The Candian model is actually very good, and just as free and available as GFS. It outranked GFS in accuracy, at least in the last article I read. I'd love to find a better source of accuracy-ranking for NWP models if anyone knows of one. Also, the UK Met Office have now started putting the output of their Unified Model on AWS. The UM ranks just behind ECMWF, it's a great model. The data on AWS is 24 hours behind, but this shows their progress in data dissemination. Not sure what costs would be involved but check out this as an FYI:
https://github.com/MetOffice/aws-earth-examples/blob/master/README.md
As far as AROME vs HIRLAM, I'd say AROME is the way to go :)
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Hello!
Do you have some info about Arome model for the locations I showed on the map above? I thought it was the same data source? (caribbean, pacific, tahiti...)Thx :)
Gabriel -
HRRR would be a fantastic addition for North American users!
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Well, seeing as I'm in continental US...
#3 HRRR is my vote
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HRRR would be great!
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Vote #1: HIRLAM
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I vote for VOTE 3
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Je préférerais AROME
MERCI.
Antoine à Versailles -
@du-Chazaud
AROME est déjà disponible sur Windy !!
AROME is already available on Windy. -
Vote number 2: AROME
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I vote for number 3. Thanks for everything. The app is great. My go to app for additional information when voyage planning.
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@ivo Vote 3
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HRRR with a write-in for ICON
