Detectable global temperature responses to wildfires and volcanic eruptions

• 成果类型: Article
• 署名作者: Li, Yaowei; Santer, Benjamin D.; Solomon, Susan; Thompson, David W. J.; Fu, Qiang
• 署名单位: Massachusetts Institute of Technology (MIT); University of East Anglia; Colorado State University System; Colorado State University Fort Collins; University of Washington; University of Washington Seattle
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.2525500123
• 发表日期: 2026-03-10
• 页码: e2525500123
• 关键词: atmospheric temperature; climate forcing; satellite and model data; wildfires; volcanic eruptions; mount-pinatubo; IMPACT; stratosphere; methodology; INJECTION; mystery; record

摘要

Large volcanic eruptions and intense wildfires perturb Earth's atmospheric temperature. Understanding the climate response to such natural forcings is essential for obtaining reliable estimates of its response to anthropogenic greenhouse gas emissions. While the climate impacts of volcanic sulfate aerosols are well documented, other natural forcings-including wildfire smoke reaching the stratosphere and water vapor injections from a submarine eruption-pose new challenges for detecting and attributing their atmospheric temperature impacts. Here, we demonstrate robust detection of statistically significant temperature anomalies in the troposphere and stratosphere using multidecadal satellite observations and internal variability estimates from a climate model ensemble and from observations. We analyze three landmark events: the 1991 Pinatubo eruption, the 2019-2020 Australian wildfires, and the 2022 Hunga Tonga eruption. Each leaves a fingerprint with distinct altitudinal, geographical, and temporal structure. The global-mean stratospheric signal from Australian wildfires is detectable even in time averages extending beyond 10 mo, despite injecting only similar to 5% of Pinatubo's aerosol mass. For Hunga Tonga, we detect significant and prolonged stratospheric cooling, but no robust tropospheric signal in the first 2 y. These findings show that both sulfate and nonsulfate stratospheric perturbations produce distinct, statistically identifiable global temperature signals. Accounting for such forcings in climate model simulations is therefore essential for improving comparisons of simulated and observed variability.