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Simulating Temperature in a Soil Incubation Experiment
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Detectable global temperature responses to wildfires and volcanic eruptions.

Yaowei Li1, Benjamin D Santer2, Susan Solomon1

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Large volcanic eruptions and intense wildfires significantly alter Earth's atmospheric temperature. This study identifies distinct climate fingerprints from these natural events, improving climate model accuracy.

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Area of Science:

  • Atmospheric Science
  • Climate Science
  • Earth System Science

Background:

  • Volcanic eruptions and wildfires are major natural forcings impacting Earth's atmospheric temperature.
  • While sulfate aerosols from volcanoes are well-studied, the climate effects of wildfire smoke and water vapor from submarine eruptions are less understood.
  • Accurate climate response assessment requires understanding all natural forcings, including less-studied ones.

Purpose of the Study:

  • To detect and attribute atmospheric temperature impacts from natural forcings like volcanic eruptions and wildfires.
  • To analyze the distinct climate fingerprints of landmark events: Pinatubo eruption (1991), Australian wildfires (2019-2020), and Hunga Tonga eruption (2022).
  • To improve climate model simulations by accounting for diverse natural forcings.

Main Methods:

  • Utilizing multidecadal satellite observations.
  • Employing climate model ensembles for internal variability estimation.
  • Analyzing temperature anomalies in the troposphere and stratosphere.

Main Results:

  • Robust detection of statistically significant temperature anomalies in both troposphere and stratosphere.
  • Australian wildfires left a detectable stratospheric signal despite lower aerosol mass compared to Pinatubo.
  • Hunga Tonga eruption caused significant, prolonged stratospheric cooling but no robust tropospheric signal in the first two years.

Conclusions:

  • Both sulfate and non-sulfate stratospheric perturbations create distinct, identifiable global temperature signals.
  • Wildfire smoke and water vapor injections can significantly impact atmospheric temperature.
  • Incorporating these diverse natural forcings into climate models is crucial for accurate simulations and comparisons with observations.