Skip to main navigation Skip to search Skip to main content

Opposing transient and equilibrium effective radiative forcing from aerosol-cloud interactions

  • Guy Dagan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Aerosols influence clouds, and therefore Earth’s radiation budget, through processes that operate across multiple and interacting time scales, making aerosol-cloud interactions (ACI) a persistent source of uncertainty in estimates of effective radiative forcing (ERF). Here we examine the time-dependent response of the local, convection-focused ERFACI using an ensemble of high-resolution simulations initialized from different atmospheric states and subjected to an instantaneous aerosol perturbation, together with simulations in which aerosol concentration changes with prescribed periods. We find that the transient ERFACI during the first ~ 2 days is positive, driven by rapid microphysical invigoration, enhanced high-cloud fraction, and increased longwave trapping. In contrast, the equilibrium ERFACI becomes negative as upper-tropospheric warming increases static stability and reduces anvil cloud fraction. As a result, the time-mean forcing depends on the ratio between the environmental adjustment time scale (τadj) and the aerosol-perturbation time scale (τaer). For intermediate regimes, where τaer is only moderately longer than τadj, the system exhibits pronounced hysteresis: ERFACI depends not only on the instantaneous aerosol loading but also on its recent history. These results imply that snapshot-based observational constraints and near-instantaneous-equilibrium convective parameterizations may systematically misestimate ERFACI.

Original languageEnglish
Article number6349
JournalNature Communications
Volume17
Issue number1
DOIs
StatePublished - Dec 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2026.

Fingerprint

Dive into the research topics of 'Opposing transient and equilibrium effective radiative forcing from aerosol-cloud interactions'. Together they form a unique fingerprint.

Cite this