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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Published in:Geoscientific Model Development
Main Authors: Ackerley, D, Chadwick, R, Dommenget, D, Petrelli, P
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2018
Subjects:
Online Access:https://doi.org/10.5194/gmd-11-3865-2018
http://ecite.utas.edu.au/131922
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spelling 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
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Earth Sciences
Atmospheric Sciences
Atmospheric Sciences not elsewhere classified
spellingShingle 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
container_volume 11
container_issue 9
container_start_page 3865
op_container_end_page 3881
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