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Title: Future warming patterns linked to today’s climate variability

Abstract

The reliability of model projections of greenhouse gas (GHG)-induced future climate change is often assessed based on models’ ability to simulate the current climate, but there has been little evidence that connects the two. In fact, this practice has been questioned because the GHG-induced future climate change may involve additional physical processes that are not important for the current climate. Here I show that the spatial patterns of the GHG-induced future warming in the 21st century is highly correlated with the patterns of the year-to-year variations of surface air temperature for today’s climate, with areas of larger variations during 1950–1979 having more GHG-induced warming in the 21st century in all climate models. Such a relationship also exists in other climate fields such as atmospheric water vapor, and it is evident in observed temperatures from 1950–2010. The results suggest that many physical processes may work similarly in producing the year-to-year climate variations in the current climate and the GHG-induced long-term changes in the 21st century in models and in the real world. Furthermore, they support the notion that models that simulate present-day climate variability better are likely to make more reliable predictions of future climate change.

Authors:
 [1]
  1. Univ. at Albany, SUNY, Albany, NY (United States)
Publication Date:
Research Org.:
State Univ. of New York, Albany, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1238786
Grant/Contract Number:  
SC0012602
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 6; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; climate and Earth system modelling; projection and prediction

Citation Formats

Dai, Aiguo. Future warming patterns linked to today’s climate variability. United States: N. p., 2016. Web. doi:10.1038/srep19110.
Dai, Aiguo. Future warming patterns linked to today’s climate variability. United States. doi:https://doi.org/10.1038/srep19110
Dai, Aiguo. Mon . "Future warming patterns linked to today’s climate variability". United States. doi:https://doi.org/10.1038/srep19110. https://www.osti.gov/servlets/purl/1238786.
@article{osti_1238786,
title = {Future warming patterns linked to today’s climate variability},
author = {Dai, Aiguo},
abstractNote = {The reliability of model projections of greenhouse gas (GHG)-induced future climate change is often assessed based on models’ ability to simulate the current climate, but there has been little evidence that connects the two. In fact, this practice has been questioned because the GHG-induced future climate change may involve additional physical processes that are not important for the current climate. Here I show that the spatial patterns of the GHG-induced future warming in the 21st century is highly correlated with the patterns of the year-to-year variations of surface air temperature for today’s climate, with areas of larger variations during 1950–1979 having more GHG-induced warming in the 21st century in all climate models. Such a relationship also exists in other climate fields such as atmospheric water vapor, and it is evident in observed temperatures from 1950–2010. The results suggest that many physical processes may work similarly in producing the year-to-year climate variations in the current climate and the GHG-induced long-term changes in the 21st century in models and in the real world. Furthermore, they support the notion that models that simulate present-day climate variability better are likely to make more reliable predictions of future climate change.},
doi = {10.1038/srep19110},
journal = {Scientific Reports},
number = ,
volume = 6,
place = {United States},
year = {2016},
month = {1}
}

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