FME: Weather/Climate Model Emulation
This package contains code to train and evaluate weather/climate model emulators as seen in "ACE: A fast, skillful learned global atmospheric model for climate prediction" (arxiv:2310.02074) and "Application of the Ai2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity" (JGR-ML).
Installation
The package can be installed via PyPI using:
pip install fme
Quickstart
A quickstart guide may be found here.
Documentation
See complete documentation here.
Release files for fme 2026.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fme-2026.8.1.tar.gz | 4.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fme-2026.8.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.1 MB
Release files / fme-2026.8.1.tar.gz
| Download URL | fme-2026.8.1.tar.gz |
|---|---|
| Size | 4.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / fme-2026.8.1-py3-none-any.whl
| Download URL | fme-2026.8.1-py3-none-any.whl |
|---|---|
| Size | 4.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
