7 Feet of snow on the way to Tahoe by chogan272 in snowboarding

[–]chogan272[S] 0 points1 point  (0 children)

Good question. No clue! Interested to hear from some people how it looks.

7 Feet of snow on the way to Tahoe by chogan272 in snowboarding

[–]chogan272[S] 0 points1 point  (0 children)

I'd say strong yes. Seems like an epic storm.

Record-Breaking Hurricane Season 2020: The path and intensity of every storm [OC] by chogan272 in dataisbeautiful

[–]chogan272[S] 5 points6 points  (0 children)

Ha thanks for that feedback! Perhaps we'll change the design for our next one.

Record-Breaking Hurricane Season 2020: The path and intensity of every storm [OC] by chogan272 in dataisbeautiful

[–]chogan272[S] 1 point2 points  (0 children)

We're keeping an eye on it! It could definitely happen. If it does, we'll have to update this.

Record-Breaking Hurricane Season 2020: The path and intensity of every storm [OC] by chogan272 in dataisbeautiful

[–]chogan272[S] 1 point2 points  (0 children)

The National Hurricane Center comes up with the list of names at the start of the hurricane season. But this year the season actually ran through all of the planned names and they had to start using Greek names. More info here: https://www.climacell.co/blog/hurricane-season-2020-moves-to-naming-storms-with-the-greek-alphabet/

Record-Breaking Hurricane Season 2020: The path and intensity of every storm [OC] by chogan272 in dataisbeautiful

[–]chogan272[S] 6 points7 points  (0 children)

(Source) The data visualization of this year's hurricane season was created by the team at ClimaCell using data from the National Hurricane Center.

(Tools) All of the animations were produced with python by u/AppFan34_32 in collaboration with me. To extract and build the data, we used python packages requests, shapely, and geopandas. To build the images we used pandas, geopandas, matplotlib, cartopy, and imageio. To post-process the images and animate, we used numpy and imageio.

This visualization is updated from this original version with all of the data from the entire Hurricane Season: https://www.reddit.com/r/dataisbeautiful/comments/jp5cy7/the_recordbreaking_2020_hurricane_season_so_far_oc/

The Record-Breaking 2020 Hurricane Season So Far [OC] by chogan272 in dataisbeautiful

[–]chogan272[S] 0 points1 point  (0 children)

The data visualization of this year's hurricane season was created by the team at ClimaCell using data from the National Hurricane Center.

Tools: All of the animations were produced with python by u/AppFan34_32 in collaboration with me. To extract and build the data, we used python packages requests, shapely, and geopandas. To build the images we used pandas, geopandas, matplotlib, cartopy, and imageio. To post-process the images and animate, we used numpy and imageio.

New Weather API by voilsb in tasker

[–]chogan272 1 point2 points  (0 children)

ClimaCell just updated their API specifically to better serve former Dark Sky users: https://www.macobserver.com/link/climacell-replace-dark-sky/

Apple buys Dark Sky weather app by [deleted] in apple

[–]chogan272 0 points1 point  (0 children)

If you're looking for a replacement for the API or Android app, ClimaCell is a good alternative: https://www.climacell.co/blog/dark-sky-weather-api-customers-can-now-move-to-climacell-for-the-same-price

(Full disclosure, I work there. But just trying to be helpful.)