Thank you! this is from the NOAA RAP weather model (so its not collected from actual ground observations like NOHRSC but rather predictions generated across a 14km grid)

idk that’s just like your opinion man

oh true!

nice will do! hopefully they don’t roast me like dataisbeautiful lmao

I did and a lot of people hated on me! Even though it was my first ever post lol

here is Utah https://www.reddit.com/r/Utah/comments/122qnjb/utah_snow_depth_winter_2223/?utm_source=share&utm_medium=web2x&context=3

Thank you! Yeah it's definitely a trade-off with the 3d plot blocking some of the points from view, I just think its worth it to see the snow height as an actual height that's rising

here is Washington: https://www.reddit.com/r/Washington/comments/122qfo8/wa_snow_depth_winter_2223/?utm_source=share&utm_medium=web2x&context=3

For sure thank you! And yea I did not expect that type of reaction lol, there are a lot of things that could be improved though. I can definitely do WA, I rewrote the script as a class so its really easy to do any state now

That is a great idea! will implement for sure

haha thank you 😘 it’s the 3d viewing angle - could definitely be done as 2d contour plot i just think it’s neat looking this way.

yeah other people have been saying that as well. I’m gonna try another state with a custom color scale with more range at the 0-5ft level

Will do!

Thanks for your feedback, I actually have contour plots I just liked how this looked better

bless your heart

if you look closely at the beginning of march, you can see the socal storms roll through - I think they don't show up as strongly due to the color scale being shifted way up by the Sierra snowfall. one way to address it would be to make a custom color scale that has more range in the lower end of the spectrum, but I am just using the built in 'inferno' colormap from matplotlib

implemented a colorbar scale here if interested:
https://imgur.com/a/tRm3iEn

That is some good feedback - I mainly just liked seeing the snow fall and melt a little and then fall some more

This is my first post here! Data source was NOAA Rapid Refresh model Grid 130, processed with XArray, Numpy, Pandas, and Matplotlib in Python

thanks so much for these resources! ill be sure to write to them

I saw them turn into the bike lane not weave through the temporary cones that are there. there needs to be concrete barrier along the road as well as a bollard at each intersection to keep cars from turning into the bike lane

I know the cones are temporary and will be replaced, but this was a car turning right onto Brattle from Mason St - if there was an obstruction in between the two bike lanes cars would not be able to enter there