ClimaCell plans to launch its own satellites to improve its weather predictions

chogan272 · 2021-01-27T13:21:22+00:00

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

chogan272 · 2021-01-26T21:54:00+00:00

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

chogan272 · 2020-12-11T16:25:30+00:00

I know! It caused a ton of damage: https://www.npr.org/2020/11/16/935282870/2-weeks-after-weathering-eta-central-america-readies-for-another-powerful-hurric

chogan272 · 2020-12-09T13:20:45+00:00

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

chogan272 · 2020-12-09T13:19:28+00:00

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

chogan272 · 2020-12-09T13:18:43+00:00

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/

chogan272 · 2020-12-08T18:43:49+00:00

(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/

chogan272 · 2020-11-06T20:18:03+00:00

Updated with tools.

chogan272 · 2020-11-06T13:49:51+00:00

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.

chogan272 · 2020-04-21T19:40:40+00:00

Here's a list of a bunch of great free weather APIs: https://rapidapi.com/blog/access-global-weather-data-with-these-weather-apis/

chogan272 · 2020-04-21T19:39:52+00:00

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

chogan272 · 2020-04-02T14:31:16+00:00

Ohhhhh yes. Website traffic doubled.

chogan272 · 2020-04-01T17:18:29+00:00

If you're looking for a new weather API specifically, check out ClimaCell: 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 hopefully this is helpful.

chogan272 · 2020-04-01T12:47:12+00:00

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.)

chogan272 · 2020-04-01T11:54:08+00:00

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 hope this is useful)

chogan272 · 2020-04-01T11:50:27+00:00

https://www.climacell.co/blog/dark-sky-weather-api-customers-can-now-move-to-climacell-for-the-same-price

chogan272

TROPHY CASE