Skip to main content

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)

Source distribution for diffusion-weather 0.0.1
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

Release history Release notifications | RSS feed

This release

0.0.1 This release

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page