What got updated in the 7.21 version this time?
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@idefix37 But sometimes when I look at the 500hPa level, especially in winter, analyzing the positions of troughs and ridges isn't very convenient. I can only judge them through the winds at the 500hPa level, and the Windy 500hPa contour lines aren't fixed, which makes weather pattern analysis difficult. So I have to rely on other numerical websites. I think meteoblue does a good job with the 500hPa level; meteoblue combines the 500hPa height field with surface pressure.
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@admin1031
Yes I like this useful map and requested it several times to Windy. Without success. -
@idefix37 But I don't know why it didn't work. I had previously suggested that the Windy program could add temperature changes at the 2m and 850hPa levels, which is very useful in winter. I didn't receive any response, but other users have also made similar suggestions, and it seems the feedback is that there is no specific plan.
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@Suty Yes, yes, yes, please reinstate the cloud, rain/snow in the airgram, it's essential for mountain weather. You could also include freezing level and snow levels to make it even better!
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@idefix37 It is said that the product with the perceived temperature came out on July 21st, but I can't seem to find it in the product list on the web version.
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@admin1031
This temperature is displayed in Basic table.
Personally, I don't see the point of showing "feels-like" temperature maps of merely subjective temperature.
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@idefix37 The perceived temperature needs to be checked for a specific location, it doesn't seem as intuitive as showing it on a map.
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@idefix37 On meteoblue, you can select the feels-like temperature and display it on a map, then click on a specific location to see the feels-like temperature value. This way of displaying is more intuitive than just choosing a single location.
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@admin1031 Right now, we offer this Feels like temp. for the first time so we decided to display this dataset in our forecast detail. If there will be any more significant feedback about this, we can implement the map with this dataset as well, but it is not planned for now.
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@Suty I have another question. Currently, China has a global weather model called CMA-GFS with a data resolution of 12.5 km. Will this model be added to the Windy program?
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@admin1031 Hello, as far as I am aware, this model is not planned now. We have general trouble with access in China, we have many reports about disfunction of our whole app there, since the local network is trying a lot to block our app. So from this perspective, we are not planning any local model now.
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@Suty As a user, I don't seem to have encountered this situation. Nowadays, many people in China use Windy, and it works fine. Plus, domestic network technology in China has already been upgraded to 5G, so the internet speed is pretty fast now.
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@Suty As a Chinese user, I can normally access the mobile app and desktop website, but the Windy web version on my phone is very slow and basically won't open. I wonder if using a VPN would make it a bit faster.
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@admin1031 Can you please test this VPN usage for us?
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@admin1031 Hi, yes, we try to let our Chinese users to access Windy.com even though there are some restrictions on Chinese government's side. That means that access from China is unfortunately much slower than we'd like it to be. VPNs should make it faster, as long as their exit nodes are (obviously) outside of the PRC.
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@Suty I basically don't use VPN software anymore. The Windy website and app can open normally, but there are occasional fluctuations. Just refreshing the program or webpage usually solves it, so it mostly works fine.
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@Suty I used to use VPN software mainly to access foreign weather numerical model websites. Loading images or opening web pages would be relatively slow, so I had to choose nodes with low foreign latency to optimize access speed. But compared to Windy, I think Windy’s access speed is still pretty good—the website and app open in just a few seconds.
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@selverob I think it's okay, not particularly slow, at least it's usable.
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@idefix37 What are the % beside the dates?
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@jast
This % shows the predictability calculated by Meteoblue based on their multi-model. It is considered valid for every model as stated in this related thread and particularly in the article from Meteoblue quoted in this thread. -
I idefix37 referenced this topic on
