Skip to main content

An ai-models plugin to run FourCastNet

Project description

ai-models-fourcastnet-gfs

:warning: This plugin is now deprecated. Please use the newer version that can be found at https://github.com/jacob-radford/ai-models-gfs-fourcastnetv2

ai-models-fourcastnet-gfs is an extension of the ai-models-fourcastnet package, which itself is a plugin to run Nvidia's spherical harmonics tranformer with ai-models.

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators https://arxiv.org/abs/2202.11214

The FourCastNet code was developed by the authors of the preprint: Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar.

Version 0.1 of FourCastNet is used as default in ai-models. https://portal.nersc.gov/project/m4134/FCN_weights_v0.1/

FourCastNet is released under BSD 3-Clause License, see LICENSE_fourcastnet for more details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ai_models_fourcastnet_gfs-0.0.2.tar.gz (16.1 kB view details)

Uploaded Source

Built Distribution

ai_models_fourcastnet_gfs-0.0.2-py3-none-any.whl (17.6 kB view details)

Uploaded Python 3

File details

Details for the file ai_models_fourcastnet_gfs-0.0.2.tar.gz.

File metadata

File hashes

Hashes for ai_models_fourcastnet_gfs-0.0.2.tar.gz
Algorithm Hash digest
SHA256 d494486ee036cc59c291cf612c9aeb1a6f3d47065daa04ffa2071e7f866a8d6e
MD5 71c8986c47384369c8839cb202d8171a
BLAKE2b-256 0adf25e79a1a8e63ec8d7bd4d53f545f9b99d98f91218e9e01ded3fc08290da7

See more details on using hashes here.

File details

Details for the file ai_models_fourcastnet_gfs-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_models_fourcastnet_gfs-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 47d1eab9d769fcb157d69e50644ddb4453a5a46edc01ade9620a336b41438b40
MD5 1339cfc73c0ab2b6fa6cea501c298082
BLAKE2b-256 5519ffa53f7fcd7bd3bc3571f531ba4be9849ed8439db01b721f5b169871f030

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page