Evaluating climate model performance with various parameter sets using observations over the recent past
Abstract. Many sources of uncertainty limit the accuracy of climate projections. Among them, we focus here on the parameter uncertainty, i.e. the imperfect knowledge of the values of many physical parameters in a climate model. Therefore, we use LOVECLIM, a global three-dimensional Earth system mode...
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ftunivbruxelles:oai:dipot.ulb.ac.be:2013/305514 2023-05-15T17:36:16+02:00 Evaluating climate model performance with various parameter sets using observations over the recent past Loutre, Marie-France Mouchet, Anne Fichefet, Thierry Goosse, Hugues Goelzer, Heiko Huybrechts, Philippe 2011-05 1 full-text file(s): application/pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/305514 https://dipot.ulb.ac.be/dspace/bitstream/2013/305514/1/doi_289158.pdf en eng uri/info:doi/10.5194/cp-7-511-2011 https://dipot.ulb.ac.be/dspace/bitstream/2013/305514/1/doi_289158.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/305514 1 full-text file(s): info:eu-repo/semantics/openAccess Climate of the past, 7 (2 Climatologie Océanographie physique et chimique info:eu-repo/semantics/article info:ulb-repo/semantics/articlePeerReview info:ulb-repo/semantics/openurl/article 2011 ftunivbruxelles 2022-06-12T21:56:32Z Abstract. Many sources of uncertainty limit the accuracy of climate projections. Among them, we focus here on the parameter uncertainty, i.e. the imperfect knowledge of the values of many physical parameters in a climate model. Therefore, we use LOVECLIM, a global three-dimensional Earth system model of intermediate complexity and vary several parameters within a range based on the expert judgement of model developers. Nine climatic parameter sets and three carbon cycle parameter sets are selected because they yield present-day climate simulations coherent with observations and they cover a wide range of climate responses to doubled atmospheric CO2 concentration and freshwater flux perturbation in the North Atlantic. Moreover, they also lead to a large range of atmospheric CO2 concentrations in response to prescribed emissions. Consequently, we have at our disposal 27 alternative versions of LOVECLIM (each corresponding to one parameter set) that provide very different responses to some climate forcings. The 27 model versions are then used to illustrate the range of responses provided over the recent past, to compare the time evolution of climate variables over the time interval for which they are available (the last few decades up to more than one century) and to identify the outliers and the "best" versions over that particular time span. For example, between 1979 and 2005, the simulated global annual mean surface temperature increase ranges from 0.24 °C to 0.64 °C, while the simulated increase in atmospheric CO2 concentration varies between 40 and 50 ppmv. Measurements over the same period indicate an increase in global annual mean surface temperature of 0.45 °C (Brohan et al. 2006) and an increase in atmospheric CO2 concentration of 44 ppmv (Enting et al. 1994; GLOBALVIEW-CO2, 2006). Only a few parameter sets yield simulations that reproduce the observed key variables of the climate system over the last decades. Furthermore, our results show that the model response, including its ocean component, is strongly ... Article in Journal/Newspaper North Atlantic DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) |
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Open Polar |
collection |
DI-fusion : dépôt institutionnel de l'Université libre de Bruxelles (ULB) |
op_collection_id |
ftunivbruxelles |
language |
English |
topic |
Climatologie Océanographie physique et chimique |
spellingShingle |
Climatologie Océanographie physique et chimique Loutre, Marie-France Mouchet, Anne Fichefet, Thierry Goosse, Hugues Goelzer, Heiko Huybrechts, Philippe Evaluating climate model performance with various parameter sets using observations over the recent past |
topic_facet |
Climatologie Océanographie physique et chimique |
description |
Abstract. Many sources of uncertainty limit the accuracy of climate projections. Among them, we focus here on the parameter uncertainty, i.e. the imperfect knowledge of the values of many physical parameters in a climate model. Therefore, we use LOVECLIM, a global three-dimensional Earth system model of intermediate complexity and vary several parameters within a range based on the expert judgement of model developers. Nine climatic parameter sets and three carbon cycle parameter sets are selected because they yield present-day climate simulations coherent with observations and they cover a wide range of climate responses to doubled atmospheric CO2 concentration and freshwater flux perturbation in the North Atlantic. Moreover, they also lead to a large range of atmospheric CO2 concentrations in response to prescribed emissions. Consequently, we have at our disposal 27 alternative versions of LOVECLIM (each corresponding to one parameter set) that provide very different responses to some climate forcings. The 27 model versions are then used to illustrate the range of responses provided over the recent past, to compare the time evolution of climate variables over the time interval for which they are available (the last few decades up to more than one century) and to identify the outliers and the "best" versions over that particular time span. For example, between 1979 and 2005, the simulated global annual mean surface temperature increase ranges from 0.24 °C to 0.64 °C, while the simulated increase in atmospheric CO2 concentration varies between 40 and 50 ppmv. Measurements over the same period indicate an increase in global annual mean surface temperature of 0.45 °C (Brohan et al. 2006) and an increase in atmospheric CO2 concentration of 44 ppmv (Enting et al. 1994; GLOBALVIEW-CO2, 2006). Only a few parameter sets yield simulations that reproduce the observed key variables of the climate system over the last decades. Furthermore, our results show that the model response, including its ocean component, is strongly ... |
format |
Article in Journal/Newspaper |
author |
Loutre, Marie-France Mouchet, Anne Fichefet, Thierry Goosse, Hugues Goelzer, Heiko Huybrechts, Philippe |
author_facet |
Loutre, Marie-France Mouchet, Anne Fichefet, Thierry Goosse, Hugues Goelzer, Heiko Huybrechts, Philippe |
author_sort |
Loutre, Marie-France |
title |
Evaluating climate model performance with various parameter sets using observations over the recent past |
title_short |
Evaluating climate model performance with various parameter sets using observations over the recent past |
title_full |
Evaluating climate model performance with various parameter sets using observations over the recent past |
title_fullStr |
Evaluating climate model performance with various parameter sets using observations over the recent past |
title_full_unstemmed |
Evaluating climate model performance with various parameter sets using observations over the recent past |
title_sort |
evaluating climate model performance with various parameter sets using observations over the recent past |
publishDate |
2011 |
url |
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/305514 https://dipot.ulb.ac.be/dspace/bitstream/2013/305514/1/doi_289158.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Climate of the past, 7 (2 |
op_relation |
uri/info:doi/10.5194/cp-7-511-2011 https://dipot.ulb.ac.be/dspace/bitstream/2013/305514/1/doi_289158.pdf http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/305514 |
op_rights |
1 full-text file(s): info:eu-repo/semantics/openAccess |
_version_ |
1766135705312952320 |