PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 13, 20250 citationsOpen Access

Emerging Effective Radiative Forcing in the Radiative Imbalance since 2010

View Full Paper
SYSeiji YukimotoHKHideaki KawaiNONaga Oshima

Key Points

  • Effective radiative forcing trends are approximately 1.0 W m⁻² per decade since 2010, greatly exceeding earlier projections.
  • The largest increases in radiative forcing are linked to shortwave fluxes, particularly over northern midlatitude oceans.
  • Findings indicate a significant gap between observed radiative imbalance and model predictions, emphasizing the need for better aerosol representation.
  • This study uses observed and simulated interannual variability to separate TOA flux changes into forcing and response components.

Abstract

Satellite observations indicate a substantial increase in Earth's top-of-atmosphere (TOA) radiative imbalance since 2010. We estimate trends in effective radiative forcing (ERF) by separating TOA flux changes into forcing and response components, using feedback parameters from observed and simulated interannual variability and the CO₂-forced response. From 2010 to 2024, ERF trends are ~1.0 W m⁻² per decade for both net and shortwave fluxes, exceeding those for 2001–2024 and far higher than projections from state-of-the-art models. This discrepancy is consistent across climate sensitivities and forcing scenarios and shows little dependence on feedback assumptions. The largest contribution arises from the shortwave component, with spatial patterns highlighting strong forcing increases over northern midlatitude oceans. These findings reveal a widening gap between observations and models, underscoring limitations in current representations of aerosol forcing.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yukimoto et al. (2025) studied this question.

synapsesocial.com/papers/68ed3352c8c3d6f5ff5dda72https://doi.org/10.22541/essoar.176031308.80881297/v1
Ask AI
Helpful
Bookmark
Share
View Full Paper