Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one
<p>Much has been written about the so-called hiatus or pause in global warming, also known as the stasis period, the start of which is typically dated to 1998. HadCRUT4 global mean temperatures slightly decreased over the 1998–2013 period, although a simple statistical model predicts that they...
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doaj-91b06fcc3e7d42d9ade4b3ef3a31d0ef2020-12-11T07:54:55ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872020-12-01111123113210.5194/esd-11-1123-2020Dating hiatuses: a statistical model of the recent slowdown in global warming and the next oneJ. I. Miller0K. Nam1K. Nam2Department of Economics, University of Missouri, Missouri, USADepartment of Economics, University of Missouri, Missouri, USAnow at: Energy Industry Research Group, Korea Energy Economics Institute, Ulsan, Republic of Korea<p>Much has been written about the so-called hiatus or pause in global warming, also known as the stasis period, the start of which is typically dated to 1998. HadCRUT4 global mean temperatures slightly decreased over the 1998–2013 period, although a simple statistical model predicts that they should have grown by 0.016 <span class="inline-formula"><sup>∘</sup></span>C/yr, in proportion to the increases in the concentrations of well-mixed greenhouse gases (WMGHGs) and ozone. We employ a statistical approach to assess the contributions of model forcings and natural variability to the hiatus. Our point estimates suggest that none of the model forcings explain more than one-third of the missing heat, accounting for the upper bound of the confidence interval on the effect of tropospheric aerosols, which is the most prominent yet most uncertainly measured of the model forcings that could explain the missing heat. The El Niño–Southern Oscillation (ENSO) explains up to about one-third of the missing heat, and two-thirds and possibly up to 81 % is explained by the unusually high temperature of 1998. Looking forward, the simple model also fails to explain the large increases since then (0.087 <span class="inline-formula"><sup>∘</sup></span>C/yr from 2013 to 2016). This period coincides with another El Niño, but the ENSO fails to satisfactorily account for the increase. Instead, we propose a semiparametric cointegrating statistical model that augments an energy balance model with a novel multi-basin measure of the oceans' multidecadal temperature cycles. The model partially explains the recent slowdown and explains all of the subsequent warming. The natural cycle suggests the possibility – depending in part on the rate of increase of WMGHG concentrations – of a much longer hiatus over the period from roughly 2023 to 2061, with potentially important implications for policy evaluation.</p>https://esd.copernicus.org/articles/11/1123/2020/esd-11-1123-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. I. Miller K. Nam K. Nam |
spellingShingle |
J. I. Miller K. Nam K. Nam Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one Earth System Dynamics |
author_facet |
J. I. Miller K. Nam K. Nam |
author_sort |
J. I. Miller |
title |
Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one |
title_short |
Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one |
title_full |
Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one |
title_fullStr |
Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one |
title_full_unstemmed |
Dating hiatuses: a statistical model of the recent slowdown in global warming and the next one |
title_sort |
dating hiatuses: a statistical model of the recent slowdown in global warming and the next one |
publisher |
Copernicus Publications |
series |
Earth System Dynamics |
issn |
2190-4979 2190-4987 |
publishDate |
2020-12-01 |
description |
<p>Much has been written about the so-called hiatus or pause in global warming,
also known as the stasis period, the start of which is typically dated to
1998. HadCRUT4 global mean temperatures slightly decreased over the 1998–2013 period,
although a simple statistical model predicts that they should have grown by
0.016 <span class="inline-formula"><sup>∘</sup></span>C/yr, in proportion to the increases in the concentrations of well-mixed
greenhouse gases (WMGHGs) and ozone. We employ a statistical approach to assess the
contributions of model forcings and natural variability to the hiatus. Our
point estimates suggest that none of the model forcings explain more than one-third of the missing heat, accounting for the upper bound of the confidence
interval on the effect of tropospheric aerosols, which is the most prominent
yet most uncertainly measured of the model forcings that could explain the
missing heat. The El Niño–Southern Oscillation (ENSO) explains up to about
one-third of the missing heat, and two-thirds and possibly up to 81 % is
explained by the unusually high temperature of 1998. Looking forward, the
simple model also fails to explain the large increases since then
(0.087 <span class="inline-formula"><sup>∘</sup></span>C/yr from 2013 to 2016).
This period coincides with another El Niño, but
the ENSO fails to satisfactorily account for the increase. Instead, we propose
a semiparametric cointegrating statistical model that augments an energy
balance model with a novel multi-basin measure of the oceans' multidecadal
temperature cycles. The model partially explains the recent slowdown and
explains all of the subsequent warming. The natural cycle suggests the
possibility – depending in part on the rate of increase of WMGHG
concentrations – of a much longer hiatus over the period from roughly 2023 to 2061, with
potentially important implications for policy evaluation.</p> |
url |
https://esd.copernicus.org/articles/11/1123/2020/esd-11-1123-2020.pdf |
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