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- PP11A-05: Coupled Seasonal Data Assimilation of Sea Ice, Ocean, and Atmospheric Dynamics over the Last Millennium
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NOLA CC
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Zilu Meng, University of Washington (First Author, Presenting Author)
Gregory Hakim, University of Washington
Eric Steig, University of Washington
Understanding how Earth’s climate has changed over the past thousand years can help us better predict future changes. However, direct observations are only available for the past 150 years, and proxy (indirect) climate records—such as tree rings and ice cores—are often limited in location and only reflect certain seasons. In this study, we create a new climate reconstruction that combines these proxy records with a physics-based model emulator to estimate past climate conditions in the ocean, atmosphere, and sea ice for each season going over the last 1,200 years. Our reconstruction captures seasonal climate variability and it verifies well with modern observations. It also accurately captures major climate features like El Niño patterns and the long-term cooling from the Medieval Climate Anomaly to the Little Ice Age. This work shows that combining models with limited proxy data at seasonal resolution can provide greater insight into changes of the coupled climate system than methods that use the annual mean or forgo combinations with model simulations.
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