An ensemble of AMIP simulations with prescribed land surface temperatures
General circulation models (GCMs) are routinely run underAtmospheric Modelling Intercomparison Project (AMIP) conditions withprescribed sea surface temperatures (SSTs) and sea ice concentrations (SICs)from observations. These AMIP simulations are often used to evaluate the roleof the land and/or atm...
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Online Access: | https://doi.org/10.5194/gmd-11-3865-2018 http://ecite.utas.edu.au/131922 |
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ftunivtasecite:oai:ecite.utas.edu.au:131922 2023-05-15T18:18:52+02:00 An ensemble of AMIP simulations with prescribed land surface temperatures Ackerley, D Chadwick, R Dommenget, D Petrelli, P 2018 application/pdf https://doi.org/10.5194/gmd-11-3865-2018 http://ecite.utas.edu.au/131922 en eng Copernicus GmbH http://ecite.utas.edu.au/131922/1/131922 - An ensemble of AMIP simulations with prescribed land surface temperatures.pdf http://dx.doi.org/10.5194/gmd-11-3865-2018 Ackerley, D and Chadwick, R and Dommenget, D and Petrelli, P, An ensemble of AMIP simulations with prescribed land surface temperatures, Geoscientific Model Development, 11, (9) pp. 3865-3881. ISSN 1991-959X (2018) [Refereed Article] http://ecite.utas.edu.au/131922 Earth Sciences Atmospheric Sciences Atmospheric Sciences not elsewhere classified Refereed Article PeerReviewed 2018 ftunivtasecite https://doi.org/10.5194/gmd-11-3865-2018 2019-12-13T22:29:47Z General circulation models (GCMs) are routinely run underAtmospheric Modelling Intercomparison Project (AMIP) conditions withprescribed sea surface temperatures (SSTs) and sea ice concentrations (SICs)from observations. These AMIP simulations are often used to evaluate the roleof the land and/or atmosphere in causing the development of systematic errorsin such GCMs. Extensions to the original AMIP experiment have also beendeveloped to evaluate the response of the global climate to increased SSTs(prescribed) and carbon dioxide ( CO 2 ) as part of the Cloud FeedbackModel Intercomparison Project (CFMIP). None of these international modellinginitiatives has undertaken a set of experiments where the land conditions arealso prescribed, which is the focus of the work presented in this paper.Experiments are performed initially with freely varying land conditions(surface temperature, and soil temperature and moisture) under five differentconfigurations (AMIP, AMIP with uniform 4 K added to SSTs, AMIP SST withquadrupled CO 2 , AMIP SST and quadrupled CO 2 without the plantstomata response, and increasing the solar constant by 3.3 %). Then, theland surface temperatures from the free land experiments are used to performa set of AMIP prescribed land (PL) simulations, which are evaluatedagainst their free land counterparts. The PL simulations agree well with thefree land experiments, which indicates that the land surface is prescribed ina way that is consistent with the original free land configuration. Furtherexperiments are also performed with different combinations of SSTs, CO 2 concentrations, solar constant and land conditions. For example,SST and land conditions are used from the AMIP simulation with quadrupled CO 2 in order to simulate the atmospheric response to increased CO 2 concentrations without the surface temperature changing. Theresults of all these experiments have been made publicly available forfurther analysis. The main aims of this paper are to provide a description ofthe method used and an initial validation of these AMIP prescribed landexperiments. Article in Journal/Newspaper Sea ice eCite UTAS (University of Tasmania) Geoscientific Model Development 11 9 3865 3881 |
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eCite UTAS (University of Tasmania) |
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English |
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Earth Sciences Atmospheric Sciences Atmospheric Sciences not elsewhere classified |
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Earth Sciences Atmospheric Sciences Atmospheric Sciences not elsewhere classified Ackerley, D Chadwick, R Dommenget, D Petrelli, P An ensemble of AMIP simulations with prescribed land surface temperatures |
topic_facet |
Earth Sciences Atmospheric Sciences Atmospheric Sciences not elsewhere classified |
description |
General circulation models (GCMs) are routinely run underAtmospheric Modelling Intercomparison Project (AMIP) conditions withprescribed sea surface temperatures (SSTs) and sea ice concentrations (SICs)from observations. These AMIP simulations are often used to evaluate the roleof the land and/or atmosphere in causing the development of systematic errorsin such GCMs. Extensions to the original AMIP experiment have also beendeveloped to evaluate the response of the global climate to increased SSTs(prescribed) and carbon dioxide ( CO 2 ) as part of the Cloud FeedbackModel Intercomparison Project (CFMIP). None of these international modellinginitiatives has undertaken a set of experiments where the land conditions arealso prescribed, which is the focus of the work presented in this paper.Experiments are performed initially with freely varying land conditions(surface temperature, and soil temperature and moisture) under five differentconfigurations (AMIP, AMIP with uniform 4 K added to SSTs, AMIP SST withquadrupled CO 2 , AMIP SST and quadrupled CO 2 without the plantstomata response, and increasing the solar constant by 3.3 %). Then, theland surface temperatures from the free land experiments are used to performa set of AMIP prescribed land (PL) simulations, which are evaluatedagainst their free land counterparts. The PL simulations agree well with thefree land experiments, which indicates that the land surface is prescribed ina way that is consistent with the original free land configuration. Furtherexperiments are also performed with different combinations of SSTs, CO 2 concentrations, solar constant and land conditions. For example,SST and land conditions are used from the AMIP simulation with quadrupled CO 2 in order to simulate the atmospheric response to increased CO 2 concentrations without the surface temperature changing. Theresults of all these experiments have been made publicly available forfurther analysis. The main aims of this paper are to provide a description ofthe method used and an initial validation of these AMIP prescribed landexperiments. |
format |
Article in Journal/Newspaper |
author |
Ackerley, D Chadwick, R Dommenget, D Petrelli, P |
author_facet |
Ackerley, D Chadwick, R Dommenget, D Petrelli, P |
author_sort |
Ackerley, D |
title |
An ensemble of AMIP simulations with prescribed land surface temperatures |
title_short |
An ensemble of AMIP simulations with prescribed land surface temperatures |
title_full |
An ensemble of AMIP simulations with prescribed land surface temperatures |
title_fullStr |
An ensemble of AMIP simulations with prescribed land surface temperatures |
title_full_unstemmed |
An ensemble of AMIP simulations with prescribed land surface temperatures |
title_sort |
ensemble of amip simulations with prescribed land surface temperatures |
publisher |
Copernicus GmbH |
publishDate |
2018 |
url |
https://doi.org/10.5194/gmd-11-3865-2018 http://ecite.utas.edu.au/131922 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://ecite.utas.edu.au/131922/1/131922 - An ensemble of AMIP simulations with prescribed land surface temperatures.pdf http://dx.doi.org/10.5194/gmd-11-3865-2018 Ackerley, D and Chadwick, R and Dommenget, D and Petrelli, P, An ensemble of AMIP simulations with prescribed land surface temperatures, Geoscientific Model Development, 11, (9) pp. 3865-3881. ISSN 1991-959X (2018) [Refereed Article] http://ecite.utas.edu.au/131922 |
op_doi |
https://doi.org/10.5194/gmd-11-3865-2018 |
container_title |
Geoscientific Model Development |
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11 |
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9 |
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3865 |
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