Diffusion Weather
Installation
This library can be installed through
pip install diffusion-weather
Example Usage
Pretrained Weights
Coming soon! We plan to train a model on GFS 0.25 degree operational forecasts, as well as MetOffice NWP forecasts. We also plan trying out adaptive meshes, and predicting future satellite imagery as well.
Training Data
Training data will be available through HuggingFace Datasets for the GFS forecasts. The initial set of data is available for GFSv16 forecasts, raw observations, and FNL Analysis files from 2016 to 2022, and for ERA5 Reanlaysis. MetOffice NWP forecasts we cannot redistribute, but can be accessed through CEDA.
Metadata
Release files for diffusion-weather 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| diffusion_weather-0.0.1.tar.gz | 2.5 kB | Details |
Release files / diffusion_weather-0.0.1.tar.gz
| Download URL | diffusion_weather-0.0.1.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
06e41ffa202dd158483b9220b1fd7c06c8c067db3087fb768012d05944855089
|
|
BLAKE2b-256 checksum How to use checksums |
cba6602602b11136b16adea133ef0808e3839ed2f445a7b52fc7c579e0302f29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|