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Nonlinear Cointegrating Regression of the Earth’s Surface Mean Temperature Anomalies on Total Radiative Forcing

Energy Industry Research Group, Korea Energy Economics Institute, 405-11, Jongga-ro, Jung-gu, Ulsan 44543, Korea
Econometrics 2021, 9(1), 6; https://doi.org/10.3390/econometrics9010006
Received: 20 September 2020 / Revised: 30 January 2021 / Accepted: 2 February 2021 / Published: 8 February 2021
(This article belongs to the Special Issue Econometric Analysis of Climate Change)
This study proposes a nonlinear cointegrating regression model based on the well-known energy balance climate model. Specifically, I investigate the nonlinear cointegrating regression of the mean of temperature anomaly distributions on total radiative forcing using estimated spatial distributions of temperature anomalies for the Globe, Northern Hemisphere, and Southern Hemisphere. Further, I provide two types of nonlinear response functions that map the total radiative forcing level to mean temperature anomalies. The proposed statistical model provides a climatological implication that spatially heterogenous warming effects play a significant role in identifying nonlinear climate sensitivity. Cointegration and specification tests are provided that support the existence of nonlinear effects of total radiative forcing. View Full-Text
Keywords: climate change; climate sensitivity; cointegration; distributional time series; energy balance climate model climate change; climate sensitivity; cointegration; distributional time series; energy balance climate model
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MDPI and ACS Style

Nam, K. Nonlinear Cointegrating Regression of the Earth’s Surface Mean Temperature Anomalies on Total Radiative Forcing. Econometrics 2021, 9, 6. https://0-doi-org.brum.beds.ac.uk/10.3390/econometrics9010006

AMA Style

Nam K. Nonlinear Cointegrating Regression of the Earth’s Surface Mean Temperature Anomalies on Total Radiative Forcing. Econometrics. 2021; 9(1):6. https://0-doi-org.brum.beds.ac.uk/10.3390/econometrics9010006

Chicago/Turabian Style

Nam, Kyungsik. 2021. "Nonlinear Cointegrating Regression of the Earth’s Surface Mean Temperature Anomalies on Total Radiative Forcing" Econometrics 9, no. 1: 6. https://0-doi-org.brum.beds.ac.uk/10.3390/econometrics9010006

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