Linking Radiative‐Advective Equilibrium Regime Transition to Arctic Amplification
Abstract Emission of anthropogenic greenhouse gases has resulted in greater Arctic warming compared to global warming, known as Arctic amplification (AA). From an energy‐balance perspective, the current Arctic climate is in radiative‐advective equilibrium (RAE) regime, in which radiative cooling is balanced by advective heat flux convergence. Exploiting a suite of climate model simulations with varying carbon dioxide () concentrations, we link the northern high‐latitude regime variation and transition to AA. The dominance of RAE regime in northern high‐latitudes under reduction relates to stronger AA, whereas the RAE regime transition to non‐RAE regime under increase corresponds to a weaker AA. Examinations on the spatial and seasonal structures reveal that lapse‐rate and sea‐ice processes are crucial mechanisms. Our findings suggest that if concentration continues to rise, the Arctic could transition into a non‐RAE regime accompanied with a weaker AA.
Authors
- Ivan Mitevski (ORCID: https://orcid.org/0000-0001-9172-3236)
- Osamu Miyawaki (ORCID: https://orcid.org/0000-0002-9696-4220)
- Yu‐Chiao Liang (ORCID: https://orcid.org/0000-0002-9347-2466)
- Yen‐Ting Hwang (ORCID: https://orcid.org/0000-0002-4084-1408)
- Tiffany A. Shaw (ORCID: https://orcid.org/0000-0002-0551-6810)
- Lorenzo M. Polvani (ORCID: https://orcid.org/0000-0003-4775-8110)
Institutions
- NSF National Center for Atmospheric Research (US)
- Lamont-Doherty Earth Observatory (US)
- National Taiwan University (TW)
- Union College (US)
- Princeton University (US)
- University of Chicago (US)
- NSF NCAR Climate and Global Dynamics Laboratory (US)
- Columbia University (US)
Publication Details
- Journal
- Geophysical Research Letters
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1029/2024gl113417
- Citations
- 1
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Science Foundation
- Computational and Information Systems Laboratory
- National Science and Technology Council
- Directorate for Geosciences