Asymmetric response of day-to-day temperature variability to CO₂ forcing over Northern Hemisphere mid–high latitudes
Day-to-day temperature variability (DTDT) quantifies short-term temperature fluctuations and indicates weather-scale variability. Using idealized carbon dioxide removal (CDR) experiments, we assess the response asymmetry of DTDT over Northern Hemisphere mid-to-high latitudes under symmetric CO₂ ramp-up (RU) and ramp-down (RD) pathways. DTDT decreases with increasing CO₂ and remains strongly suppressed for about two decades after the CO₂ peak. Comparing CO₂ RU and RD periods with identical CO₂ concentrations, DTDT is systematically weaker during RD than during RU, indicating a pronounced response asymmetry to CO₂ forcing. This asymmetry is strongest in boreal winter and weaker in boreal summer. Using a decomposition of the thermodynamic energy equation, we find that the response asymmetry is primarily associated with weakened near-surface horizontal temperature advection, with additional contribution from changes in the variability of net surface radiative forcing. These results highlight the necessity of considering asymmetric and delayed recovery of short-term temperature variability in climate mitigation.
Authors
- Ruyu Gan (ORCID: https://orcid.org/0000-0001-7467-3919)
- Qi Liu
- Suqin Zhang
- Gang Huang (136671)
- Kaiming Hu
Institutions
- Yunnan Normal University (CN)
- Chinese Academy of Sciences (CN)
- Nanjing University of Information Science and Technology (CN)
- Jiangsu University of Science and Technology (CN)
- Institute of Atmospheric Physics (CN)
- University of Chinese Academy of Sciences (CN)
- Nanjing University (CN)
- Capital Normal University (CN)
Publication Details
- Journal
- npj Climate and Atmospheric Science
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1038/s41612-026-01372-1
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Nanjing University of Information Science and Technology
- Key Laboratory of Meteorological Disaster