GFS temperature VS Weatheronline
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@zhaoy
Could you show your code. -
@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]]] -
@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.
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@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:
so,I guess Windy did some smoothing on the data, I don't know if it's appropriate.
such as this picture
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@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 ? -
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
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@idefix37 I'm just guessing if Windy smoothed the source data to make it look better
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@zhaoy
I didn't realize you didn't apply the correct coding.
As already said, your coding should be like this theoretical diagram
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@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°):
Meteoblue (GFS 0.5°):
WeatherOnline (GFS 0.25°):
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@zhaoy
You already posted the same screenshots.
You can guess what you want.
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