Impacts of internal variability on climate trends in large ensemble simulations by two climate models

Internal climate variability (ICV) can influence trends in observations and model simulations over periods spanning decades, making it difficult to quantify the response of the climate system to external forcing. We analyze two large ensembles of climate simulations from 1950-2100 by two fully coupl...

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Main Author: Bloecker, Christine
Format: Text
Language:English
Published: Scholars Archive 2017
Subjects:
Online Access:https://scholarsarchive.library.albany.edu/legacy-etd/1786
https://scholarsarchive.library.albany.edu/context/legacy-etd/article/2785/viewcontent/Bloecker_m5pyYw7ZhH86rDCFEGaxLF.pdf
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spelling ftunivalbany:oai:scholarsarchive.library.albany.edu:legacy-etd-2785 2024-05-19T07:36:37+00:00 Impacts of internal variability on climate trends in large ensemble simulations by two climate models Bloecker, Christine 2017-01-01T08:00:00Z application/pdf https://scholarsarchive.library.albany.edu/legacy-etd/1786 https://scholarsarchive.library.albany.edu/context/legacy-etd/article/2785/viewcontent/Bloecker_m5pyYw7ZhH86rDCFEGaxLF.pdf English eng Scholars Archive https://scholarsarchive.library.albany.edu/legacy-etd/1786 https://scholarsarchive.library.albany.edu/context/legacy-etd/article/2785/viewcontent/Bloecker_m5pyYw7ZhH86rDCFEGaxLF.pdf Legacy Theses & Dissertations (2009 - 2024) CanESM2 CESM1 climate ensemble trends variability Climatic changes Climatology Atmospheric Sciences text 2017 ftunivalbany 2024-04-24T00:23:52Z Internal climate variability (ICV) can influence trends in observations and model simulations over periods spanning decades, making it difficult to quantify the response of the climate system to external forcing. We analyze two large ensembles of climate simulations from 1950-2100 by two fully coupled climate models, namely the CanESM2 and CESM1, to quantify the effects of ICV on apparent trends in annual surface air temperature (T) and precipitation (P) over different time periods and regions. In comparison with observations, the CanESM2 overestimates the global T and P trends during 1979-2014 while they fall within the ICV-induced range of the CESM1. The ICV induces large trend spreads for global-mean T and P over shorter periods, but these spreads decrease rapidly as the length of the period is extended through the historical period; thereafter, the spreads decrease gradually. In individual realizations, local P trends may still be dominated by ICV during the first half of the 21st century over many regions, while the externally-forced T trends are already significant (compared with ICV) over many low-latitude regions and will become statistically significant everywhere before the mid-21st century. The largest contributors to ICV for T and P are the Interdecadal Pacific Oscillation (IPO) and Arctic sea-ice variability. Furthermore, the evolution of the T response to external forcing is found to be similar everywhere, while the evolution of the P response can be similar (opposite) to the T response in the high latitudes and tropics (subtropics). The ICV in a control run is found to be similar to that from the forced runs for T, but the internal P variability in the forced runs is larger than that in the control run. Text Arctic Sea ice University at Albany, State University of New York (SUNY): Scholars Archive
institution Open Polar
collection University at Albany, State University of New York (SUNY): Scholars Archive
op_collection_id ftunivalbany
language English
topic CanESM2
CESM1
climate
ensemble
trends
variability
Climatic changes
Climatology
Atmospheric Sciences
spellingShingle CanESM2
CESM1
climate
ensemble
trends
variability
Climatic changes
Climatology
Atmospheric Sciences
Bloecker, Christine
Impacts of internal variability on climate trends in large ensemble simulations by two climate models
topic_facet CanESM2
CESM1
climate
ensemble
trends
variability
Climatic changes
Climatology
Atmospheric Sciences
description Internal climate variability (ICV) can influence trends in observations and model simulations over periods spanning decades, making it difficult to quantify the response of the climate system to external forcing. We analyze two large ensembles of climate simulations from 1950-2100 by two fully coupled climate models, namely the CanESM2 and CESM1, to quantify the effects of ICV on apparent trends in annual surface air temperature (T) and precipitation (P) over different time periods and regions. In comparison with observations, the CanESM2 overestimates the global T and P trends during 1979-2014 while they fall within the ICV-induced range of the CESM1. The ICV induces large trend spreads for global-mean T and P over shorter periods, but these spreads decrease rapidly as the length of the period is extended through the historical period; thereafter, the spreads decrease gradually. In individual realizations, local P trends may still be dominated by ICV during the first half of the 21st century over many regions, while the externally-forced T trends are already significant (compared with ICV) over many low-latitude regions and will become statistically significant everywhere before the mid-21st century. The largest contributors to ICV for T and P are the Interdecadal Pacific Oscillation (IPO) and Arctic sea-ice variability. Furthermore, the evolution of the T response to external forcing is found to be similar everywhere, while the evolution of the P response can be similar (opposite) to the T response in the high latitudes and tropics (subtropics). The ICV in a control run is found to be similar to that from the forced runs for T, but the internal P variability in the forced runs is larger than that in the control run.
format Text
author Bloecker, Christine
author_facet Bloecker, Christine
author_sort Bloecker, Christine
title Impacts of internal variability on climate trends in large ensemble simulations by two climate models
title_short Impacts of internal variability on climate trends in large ensemble simulations by two climate models
title_full Impacts of internal variability on climate trends in large ensemble simulations by two climate models
title_fullStr Impacts of internal variability on climate trends in large ensemble simulations by two climate models
title_full_unstemmed Impacts of internal variability on climate trends in large ensemble simulations by two climate models
title_sort impacts of internal variability on climate trends in large ensemble simulations by two climate models
publisher Scholars Archive
publishDate 2017
url https://scholarsarchive.library.albany.edu/legacy-etd/1786
https://scholarsarchive.library.albany.edu/context/legacy-etd/article/2785/viewcontent/Bloecker_m5pyYw7ZhH86rDCFEGaxLF.pdf
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Legacy Theses & Dissertations (2009 - 2024)
op_relation https://scholarsarchive.library.albany.edu/legacy-etd/1786
https://scholarsarchive.library.albany.edu/context/legacy-etd/article/2785/viewcontent/Bloecker_m5pyYw7ZhH86rDCFEGaxLF.pdf
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