Skip to main content

AMOC collapse early warning — GenesisAeon Package 18 (UTAC/CREP dynamical system)

Project description

amoc-utac

GenesisAeon Package 18 — Atlantic Meridional Overturning Circulation as UTAC System

DOI (GenesisAeon Whitepaper) MIT License CC BY 4.0 Part of genesis-os Package 18

AMOC modelled as UTAC dynamical system with physics-based early-warning from van Westen et al. (2024).

Key result: Γ_AMOC ≈ 0.251 (medium-CREP) → same universality point as neural criticality (η = 50 %).

Installation

pip install amoc-utac

For development:

pip install -e ".[dev]"

Quickstart

amoc-utac run --duration 120
amoc-utac tipping-estimate
amoc-utac zenodo-export

Integration in genesis-os

from genesis_os import GenesisOS
os = GenesisOS()
amoc = os.load_package(18)
results = amoc.run_cycle(duration_years=120)

Benchmark

Validated against RAPID array, van Westen 2024 & Ditlevsen 2023.

Falsifiable Prediction

AMOC crosses 50 % weakening (H* = 0.5 K) between 2045–2065.

Role in the GenesisAeon Ecosystem

amoc-utac is P18 in the GenesisAeon ecosystem, covering the oceanography / AMOC tipping domain. It applies the UTAC-Logistic ODE and CREP metrics to the Atlantic Meridional Overturning Circulation, sharing its criticality framework (Γ ≈ 0.251) with sibling packages across other domains (e.g. neuroscience, heliophysics).

Citation

DOI

DOI will be assigned automatically on first GitHub Release once Zenodo–GitHub integration is enabled for this repo.

License

Code: MIT • Docs & Data: CC BY 4.0

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

amoc_utac-1.1.1.tar.gz (201.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amoc_utac-1.1.1-py3-none-any.whl (23.9 kB view details)

Uploaded Python 3

File details

Details for the file amoc_utac-1.1.1.tar.gz.

File metadata

  • Download URL: amoc_utac-1.1.1.tar.gz
  • Upload date:
  • Size: 201.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for amoc_utac-1.1.1.tar.gz
Algorithm Hash digest
SHA256 bb919623faaf94ec9a88f2ae4d5921362d6d411a946bf867897649870021fa20
MD5 45843f1ad2aef1311bd962ba8b9e8f4b
BLAKE2b-256 5a308e4f9012dcbb340f2c80b3339050df3d6a698ec4a9f26de9579bf7ed0cb1

See more details on using hashes here.

File details

Details for the file amoc_utac-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: amoc_utac-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 23.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for amoc_utac-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 983c9fc89eb218af877d6ea23a81144326c2e4070014a8b98f2a7a70c33c749c
MD5 2dc750c2d544dad40f20364783b3a68c
BLAKE2b-256 0017d7db064b9d3e4bd3fc13dfd8855416d650f3670b1ce768509fb8fe29d34c

See more details on using hashes here.

Supported by

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