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Activity Number:
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419
- Quantifying the Anthropogenic Fingerprint in Climate Change
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Type:
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Invited
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Date/Time:
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Thursday, August 12, 2021 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #315513
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Title:
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What Drives Temperature Anomalies? A Functional SVAR Approach
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Author(s):
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J. Isaac Miller* and Yoosoon Chang and Joon Y. Park
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Companies:
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University of Missouri and Indiana University and Indiana University
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Keywords:
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structural vector autoregression;
climate system;
functional time series
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Abstract:
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We propose a functional structural vector autoregression to model feedbacks in the climate system. Specifically, the VAR employs aggregate time series for exogenous solar and volcanic activity and for endogenous economic production and climate forcings from greenhouse gases and tropospheric aerosols, but functional time series for the global distribution of temperature anomalies. The mixture of VAR and functional VAR is novel, as is its use in modeling the climate system.
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Authors who are presenting talks have a * after their name.
