An ensemble of AMIP simulations with prescribed land surface temperatures

<p>General circulation models (GCMs) are routinely run under Atmospheric Modelling Intercomparison Project (AMIP) conditions with prescribed sea surface temperatures (SSTs) and sea ice concentrations (SICs) from observations. These AMIP simulations are often used to evaluate the role of th...

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Main Authors: D. Ackerley, R. Chadwick, D. Dommenget, P. Petrelli
Format: Article
Language:English
Published: Copernicus Publications 2018-09-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/11/3865/2018/gmd-11-3865-2018.pdf
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spelling doaj-d41fd5a3b5574d3b95ee42d81986ddf72020-11-25T02:45:36ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032018-09-01113865388110.5194/gmd-11-3865-2018An ensemble of AMIP simulations with prescribed land surface temperaturesD. Ackerley0D. Ackerley1R. Chadwick2D. Dommenget3P. Petrelli4ARC Centre of Excellence for Climate System Science, School of Earth Atmosphere and Environment, Monash University, Clayton, Victoria, AustraliaMet Office, Exeter, UKMet Office Hadley Centre, Exeter, UKARC Centre of Excellence for Climate System Science, School of Earth Atmosphere and Environment, Monash University, Clayton, Victoria, AustraliaARC Centre of Excellence for Climate System Science, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia<p>General circulation models (GCMs) are routinely run under Atmospheric Modelling Intercomparison Project (AMIP) conditions with prescribed sea surface temperatures (SSTs) and sea ice concentrations (SICs) from observations. These AMIP simulations are often used to evaluate the role of the land and/or atmosphere in causing the development of systematic errors in such GCMs. Extensions to the original AMIP experiment have also been developed to evaluate the response of the global climate to increased SSTs (prescribed) and carbon dioxide (CO<sub>2</sub>) as part of the Cloud Feedback Model Intercomparison Project (CFMIP). None of these international modelling initiatives has undertaken a set of experiments where the land conditions are also 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 different configurations (AMIP, AMIP with uniform 4&thinsp;K added to SSTs, AMIP SST with quadrupled CO<sub>2</sub>, AMIP SST and quadrupled CO<sub>2</sub> without the plant stomata response, and increasing the solar constant by 3.3&thinsp;%). Then, the land surface temperatures from the free land experiments are used to perform a set of <q>AMIP prescribed land</q> (PL) simulations, which are evaluated against their free land counterparts. The PL simulations agree well with the free land experiments, which indicates that the land surface is prescribed in a way that is consistent with the original free land configuration. Further experiments are also performed with different combinations of SSTs, CO<sub>2</sub> concentrations, solar constant and land conditions. For example, SST and land conditions are used from the AMIP simulation with quadrupled CO<sub>2</sub> in order to simulate the atmospheric response to increased CO<sub>2</sub> concentrations without the surface temperature changing. The results of all these experiments have been made publicly available for further analysis. The main aims of this paper are to provide a description of the method used and an initial validation of these AMIP prescribed land experiments.</p>https://www.geosci-model-dev.net/11/3865/2018/gmd-11-3865-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Ackerley
D. Ackerley
R. Chadwick
D. Dommenget
P. Petrelli
spellingShingle D. Ackerley
D. Ackerley
R. Chadwick
D. Dommenget
P. Petrelli
An ensemble of AMIP simulations with prescribed land surface temperatures
Geoscientific Model Development
author_facet D. Ackerley
D. Ackerley
R. Chadwick
D. Dommenget
P. Petrelli
author_sort D. Ackerley
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 Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2018-09-01
description <p>General circulation models (GCMs) are routinely run under Atmospheric Modelling Intercomparison Project (AMIP) conditions with prescribed sea surface temperatures (SSTs) and sea ice concentrations (SICs) from observations. These AMIP simulations are often used to evaluate the role of the land and/or atmosphere in causing the development of systematic errors in such GCMs. Extensions to the original AMIP experiment have also been developed to evaluate the response of the global climate to increased SSTs (prescribed) and carbon dioxide (CO<sub>2</sub>) as part of the Cloud Feedback Model Intercomparison Project (CFMIP). None of these international modelling initiatives has undertaken a set of experiments where the land conditions are also 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 different configurations (AMIP, AMIP with uniform 4&thinsp;K added to SSTs, AMIP SST with quadrupled CO<sub>2</sub>, AMIP SST and quadrupled CO<sub>2</sub> without the plant stomata response, and increasing the solar constant by 3.3&thinsp;%). Then, the land surface temperatures from the free land experiments are used to perform a set of <q>AMIP prescribed land</q> (PL) simulations, which are evaluated against their free land counterparts. The PL simulations agree well with the free land experiments, which indicates that the land surface is prescribed in a way that is consistent with the original free land configuration. Further experiments are also performed with different combinations of SSTs, CO<sub>2</sub> concentrations, solar constant and land conditions. For example, SST and land conditions are used from the AMIP simulation with quadrupled CO<sub>2</sub> in order to simulate the atmospheric response to increased CO<sub>2</sub> concentrations without the surface temperature changing. The results of all these experiments have been made publicly available for further analysis. The main aims of this paper are to provide a description of the method used and an initial validation of these AMIP prescribed land experiments.</p>
url https://www.geosci-model-dev.net/11/3865/2018/gmd-11-3865-2018.pdf
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