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Quantifying the impact of internal variability on the CESM2 control algorithm for stratospheric aerosol injection dataset

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DataONE2024-03-29 更新2024-06-08 收录
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Earth system models are a powerful tool to simulate the response to hypothetical climate intervention strategies, such as stratospheric aerosol injection (SAI). Recent simulations of SAI implement tools from control theory, called “controllers”, to determine the quantity of aerosol to inject into the stratosphere to reach or maintain specified global temperature targets, such as limiting global warming to 1.5C above pre-industrial temperatures. This work explores how internal (unforced) climate variability can impact controller-determined injection amounts using the Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection (ARISE-SAI) simulations. Since the ARISE-SAI controller determines injection amounts by comparing global annual-mean surface temperature to predetermined temperature targets, internal variability that impacts temperature can impact the total injection amount as well. Using an offline version of the ARISE-SAI..., , , # Data from: Quantifying the impact of internal variability on the CESM2 control algorithm for stratospheric aerosol injection dataset (Connolly et al. 2024) TREFHT_Basestates_SSP45: ensemble mean calculated from the ARISE-SAI 10 member ensemble and smoothed by fitting a 3rd order polynomial to the time series at each grid point. TREFHT_anomalies_SSP45.nc: anomalies from the ARISE-SAI control simulation which is used when making composites based off the modes of internal variability. TREFHT_anomalies_LE.nc: anomalies from the CESM Large Ensemble which is used when making composites based off the modes of internal variability. ENSO_anomalies_LE.nc: contains the ENSO index calculated from the CESM Large Ensemble. ENSO_anomalies_SSP45:contains the ENSO index calculated from the ARISE-SAI control simulations. NAO_anomalies_LE.nc: contains the NAO index calculated from the CESM Large Ensemble. NAO_anomalies_SSP45:contains the NAO index calculated from the ARISE-SAI control simulation...
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2025-07-29
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