Weatherlings, the time has come for our first non-demo release. Weighing in at 115TB compressed and 815TB (!) uncompressed, GEFS ain’t messing around.
Last year, we launched dynamical.org into the world and watched as hundreds of weather data nerds emerged (sublimated?) from the woodwork. Our community has been growing steadily, united by a shared mission to make weather data Spark Joy.
I am thrilled to announce the latest addition to Dynamical’s catalog: NOAA's Global Ensemble Forecast System (GEFS) 35-day forecasts!
The Specs:
Parameter | Details |
---|---|
Spatial Domain | Global |
Spatial Resolution | 0-240 hours: 0.25 degrees (~20km), 243-840 hours: 0.5 degrees (~40km) |
Time Domain | Forecasts initialized 2020-10-01 00:00:00 UTC to Present |
Time Resolution | Forecasts initialized every 24 hours |
Forecast Domain | Forecast lead time 0-840 hours (0-35 days) ahead |
Forecast Resolution | Forecast step 0-240 hours: 3-hourly, 243-840 hours: 6-hourly |
Best of all, it's operationally updated with minimal latency and available in the Zarr v3 format that plants crave:
import xarray as xr
ds = xr.open_dataset("https://data.dynamical.org/noaa/gefs/forecast-35-day/[email protected]")
We are already using this new dataset for R&D at Upstream Tech, and we can’t wait to hear how you use it! We've included documentation and example notebooks in the catalog entry to get you started. If you hit snags or have feedback, drop us a line at [email protected].
We’ll be holding our first dynamical.org office hours Thursday Mar 20, 2025 at 10-11am PDT / 1-2pm EDT / 5-6pm UTC. Join this Google Meet to ask questions or give feedback.
We're excited to announce the formation of the dynamical.org Steering Committee! This dream team will:
Current Members:
By bringing together this collective expertise, we're ensuring that Dynamical.org remains relevant, impactful, and true to its mission.
Shine on (lol),
MM