<![CDATA[GFS temperature VS Weatheronline]]>The rendering effect of Weatheronline（https://www.weatheronline.co.uk/cgi-bin/expertcharts?LANG=en&MENU=0000000000&CONT=asie&MODELL=gfs25&MODELLTYP=1&BASE=202410101200&VAR=tmp2&HH=12&ZOOM=1&ARCHIV=0&RES=0&WMO=&PERIOD=） has many details, while Windy rendering is very smooth. Has Windy's data been smoothed

cc33292e-82b3-4636-a5be-2fcbd2a01e6f-image.png
2b53a60d-aa73-4944-ab90-164a3208f0a2-image.png

]]>https://community.windy.com/topic/37226/gfs-temperature-vs-weatheronlineRSS for NodeThu, 16 Apr 2026 05:34:04 GMTThu, 17 Oct 2024 05:59:22 GMT60<![CDATA[Reply to GFS temperature VS Weatheronline on Fri, 18 Oct 2024 06:42:53 GMT]]>@zhaoy
You already posted the same screenshots.
You can guess what you want.
End

]]>https://community.windy.com/post/201997https://community.windy.com/post/201997Fri, 18 Oct 2024 06:42:53 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Fri, 18 Oct 2024 02:06:01 GMT]]>@idefix37 I guess it's not a color rendering issue, Did Windy lose a lot of details in smoothing the source data(GFS 0.25°)

[[245,[136,136,136,255]],[246.4,[136,136,136,255]],[246.5,[176,176,176,255]],[247.9,[176,176,176,255]],[248,[204,204,204,255]],[249.4,[204,204,204,255]],[249.5,[228,228,228,255]],[250.9,[228,228,228,255]],[251,[119,51,119,255]],[253.3,[119,51,119,255]],[253.4,[170,51,170,255]],[255.7,[170,51,170,255]],[255.8,[204,51,204,255]],[258.1,[204,51,204,255]],[258.2,[255,51,255,255]],[260.5,[255,51,255,255]],[260.6,[255,153,255,255]],[262.9,[255,153,255,255]],[263,[21,0,204,255]],[264.9,[21,0,204,255]],[265,[51,102,255,255]],[266.9,[51,102,255,255]],[267,[51,153,255,255]],[268.9,[51,153,255,255]],[269,[51,204,255,255]],[270.9,[51,204,255,255]],[271,[51,255,255,255]],[272.9,[51,255,255,255]],[273,[0,119,0,255]],[275.3,[0,119,0,255]],[275.4,[0,153,0,255]],[277.7,[0,153,0,255]],[277.8,[0,187,0,255]],[280.1,[0,187,0,255]],[280.2,[0,221,0,255]],[282.5,[0,221,0,255]],[282.6,[0,255,0,255]],[284.9,[0,255,0,255]],[285,[255,255,51,255]],[286.65,[255,255,51,255]],[286.75,[255,238,51,255]],[288.4,[255,238,51,255]],[288.5,[255,221,51,255]],[290.15,[255,221,51,255]],[290.25,[255,204,51,255]],[291.9,[255,204,51,255]],[292,[255,187,51,255]],[293.65,[255,187,51,255]],[293.75,[255,170,0,255]],[295.4,[255,170,0,255]],[295.5,[255,153,0,255]],[297.15,[255,153,0,255]],[297.25,[255,119,0,255]],[298.9,[255,119,0,255]],[299,[255,0,0,255]],[300.9,[255,0,0,255]],[301,[238,0,0,255]],[302.9,[238,0,0,255]],[303,[204,0,0,255]],[304.9,[204,0,0,255]],[305,[187,0,0,255]],[306.9,[187,0,0,255]],[307,[170,0,0,255]],[308.9,[170,0,0,255]],[309,[153,0,0,255]],[310.9,[153,0,0,255]],[311,[136,0,0,255]],[313.4,[136,0,0,255]],[313.5,[114,0,0,255]],[315.9,[114,0,0,255]],[316,[91,0,0,255]],[318.4,[91,0,0,255]],[318.5,[66,0,0,255]],[320.9,[66,0,0,255]],[321,[29,0,0,255]]]

Windy (GFS 0.25°):
cd7deff2-9664-424a-acd1-9caa5ff2d2fc-image.png

Meteoblue (GFS 0.5°):
9f875cfe-b173-4213-b8df-f234db48a6e6-image.png

WeatherOnline (GFS 0.25°):
1bf39bd8-cb58-47dd-b151-abbd5c25f554-image.png

]]>https://community.windy.com/post/201987https://community.windy.com/post/201987Fri, 18 Oct 2024 02:06:01 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 12:55:18 GMT]]>@zhaoy
I didn't realize you didn't apply the correct coding.

0309D9EB-32EC-4880-A2C3-C31569678643.jpeg

As already said, your coding should be like this theoretical diagram

97BA89E3-6C5F-4AD8-8D53-12FE10EC7482.jpeg

]]>https://community.windy.com/post/201952https://community.windy.com/post/201952Thu, 17 Oct 2024 12:55:18 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 10:42:34 GMT]]>@idefix37 I'm just guessing if Windy smoothed the source data to make it look better

]]>https://community.windy.com/post/201945https://community.windy.com/post/201945Thu, 17 Oct 2024 10:42:34 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 10:39:02 GMT]]>The temperature data(GFS 0.5°) render result on meteoblue,which also has many small patches,and the boundary is quite
https://www.meteoblue.com/en/weather/maps/#coords=5.65/37.766/99.822&map=temperature~hourly~GFS05~2 m above gnd~none

81ea7421-afcc-4397-b2d3-90c1d660f96a-image.png

]]>https://community.windy.com/post/201943https://community.windy.com/post/201943Thu, 17 Oct 2024 10:39:02 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 10:35:45 GMT]]>@zhaoy
You are being picky. I find the granularity to be pretty good.
At boundary between the value ranges the limit is jagged. Can you try taking a screenshot of the Icing layer of the same device.
Then could you explain the 2 squares with numbers. How did you make them ?

]]>https://community.windy.com/post/201942https://community.windy.com/post/201942Thu, 17 Oct 2024 10:35:45 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 10:14:50 GMT]]>@idefix37 thank you! the result is not yet which I wanted,I think the same data source (GFS 0.25°) should render the same results,but the Weatheronline image has many small patches,and the boundary is quite sharp.
WeatherOnline Result:
b72829d3-5ee7-4021-9530-460ec2eabf15-image.png

so,I guess Windy did some smoothing on the data, I don't know if it's appropriate.
such as this picture
4ee3e094-1cd8-46ce-9f5d-f21d881d3be8-image.png

]]>https://community.windy.com/post/201939https://community.windy.com/post/201939Thu, 17 Oct 2024 10:14:50 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 09:36:44 GMT]]>@zhaoy
Thank you.
Could you try

[[245,[136,136,136,255]],[247.9,[176,176,176,255]],[248,[204,204,204,255]],[250.9,[228,228,228,255]], [251,[119,51,119,255]], …etc

It should improve the scale, but not sure you get exactly what you want.

]]>https://community.windy.com/post/201938https://community.windy.com/post/201938Thu, 17 Oct 2024 09:36:44 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 08:20:06 GMT]]>@idefix37 I picked up steps with numerical values on color legend, and other steps were interpolated by numerical values
[[245,[136,136,136,255]],[246.5,[176,176,176,255]],[248,[204,204,204,255]],[249.5,[228,228,228,255]],[251,[119,51,119,255]],[253.4,[170,51,170,255]],[255.8,[204,51,204,255]],[258.2,[255,51,255,255]],[260.6,[255,153,255,255]],[263,[21,0,204,255]],[265,[51,102,255,255]],[267,[51,153,255,255]],[269,[51,204,255,255]],[271,[51,255,255,255]],[273,[0,119,0,255]],[275.4,[0,153,0,255]],[277.8,[0,187,0,255]],[280.2,[0,221,0,255]],[282.6,[0,255,0,255]],[285,[255,255,51,255]],[286.75,[255,238,51,255]],[288.5,[255,221,51,255]],[290.25,[255,204,51,255]],[292,[255,187,51,255]],[293.75,[255,170,0,255]],[295.5,[255,153,0,255]],[297.25,[255,119,0,255]],[299,[255,0,0,255]],[301,[238,0,0,255]],[303,[204,0,0,255]],[305,[187,0,0,255]],[307,[170,0,0,255]],[309,[153,0,0,255]],[311,[136,0,0,255]],[313.5,[114,0,0,255]],[316,[91,0,0,255]],[318.5,[66,0,0,255]],[321,[29,0,0,255]]]

]]>https://community.windy.com/post/201933https://community.windy.com/post/201933Thu, 17 Oct 2024 08:20:06 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 07:51:07 GMT]]>@zhaoy
Could you show your code.

]]>https://community.windy.com/post/201929https://community.windy.com/post/201929Thu, 17 Oct 2024 07:51:07 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 06:58:48 GMT]]>@idefix37 There are 38 color classifications in the temperature legend of Weatheronline,I have modified the color according to legend on Windy, but there are still differences between the two images. So I guess Windy's data may have been processed.
069b8a07-1e3f-48e1-aa41-984294bc58d4-image.png

]]>https://community.windy.com/post/201927https://community.windy.com/post/201927Thu, 17 Oct 2024 06:58:48 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 06:38:13 GMT]]>@zhaoy
Did you read the article I mentioned here above ? At the end I show how to make a non-smoothed color scale if you prefer it.

]]>https://community.windy.com/post/201924https://community.windy.com/post/201924Thu, 17 Oct 2024 06:38:13 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 06:33:04 GMT]]>@idefix37 still smooth,There are many small patches on Weatheronlie and connected areas on Windy
ca47fba5-5ba4-4e81-b5bc-ad8a392f4534-image.png

]]>https://community.windy.com/post/201921https://community.windy.com/post/201921Thu, 17 Oct 2024 06:33:04 GMT<![CDATA[Reply to GFS temperature VS Weatheronline on Thu, 17 Oct 2024 06:24:49 GMT]]>@zhaoy
You can change the color scale yourself for most of layers in Windy.
See this article
The color scale in Windy is smoothed but the way how the colors are staggered in your example gives more contrast between the temperature steps.
And as explained in the article you can design a non-smoothed color scale.

]]>https://community.windy.com/post/201920https://community.windy.com/post/201920Thu, 17 Oct 2024 06:24:49 GMT