Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM)
<p>ESMs (Earth system models) are important tools that help scientists understand the complexities of the Earth's climate. Advances in computing power have permitted the development of increasingly complex ESMs and the introduction of better, more accurate parameterizations of processe...
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doaj-527f2c9b82a0471ab0fc5e20be5dca942020-11-24T21:17:49ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872018-08-0191045106210.5194/esd-9-1045-2018Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM)A. Navarro0R. Moreno1F. J. Tapiador2Institute of Environmental Sciences (ICAM), University of Castilla–La Mancha, 45004 Toledo, SpainInstitute of Environmental Sciences (ICAM), University of Castilla–La Mancha, 45004 Toledo, SpainInstitute of Environmental Sciences (ICAM), University of Castilla–La Mancha, 45004 Toledo, Spain<p>ESMs (Earth system models) are important tools that help scientists understand the complexities of the Earth's climate. Advances in computing power have permitted the development of increasingly complex ESMs and the introduction of better, more accurate parameterizations of processes that are too complex to be described in detail. One of the least well-controlled parameterizations involves human activities and their direct impact at local and regional scales. In order to improve the direct representation of human activities and climate, we have developed a simple, scalable approach that we have named the POPEM module (POpulation Parameterization for Earth Models). This module computes monthly fossil fuel emissions at grid-point scale using the modeled population projections. This paper shows how integrating POPEM parameterization into the CESM (Community Earth System Model) enhances the realism of global climate modeling, improving this beyond simpler approaches. The results show that it is indeed advantageous to model CO<sub>2</sub> emissions and pollutants directly at model grid points rather than using the same mean value globally. A major bonus of this approach is the increased capacity to understand the potential effects of localized pollutant emissions on long-term global climate statistics, thus assisting adaptation and mitigation policies.</p>https://www.earth-syst-dynam.net/9/1045/2018/esd-9-1045-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Navarro R. Moreno F. J. Tapiador |
spellingShingle |
A. Navarro R. Moreno F. J. Tapiador Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) Earth System Dynamics |
author_facet |
A. Navarro R. Moreno F. J. Tapiador |
author_sort |
A. Navarro |
title |
Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) |
title_short |
Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) |
title_full |
Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) |
title_fullStr |
Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) |
title_full_unstemmed |
Improving the representation of anthropogenic CO<sub>2</sub> emissions in climate models: impact of a new parameterization for the Community Earth System Model (CESM) |
title_sort |
improving the representation of anthropogenic co<sub>2</sub> emissions in climate models: impact of a new parameterization for the community earth system model (cesm) |
publisher |
Copernicus Publications |
series |
Earth System Dynamics |
issn |
2190-4979 2190-4987 |
publishDate |
2018-08-01 |
description |
<p>ESMs (Earth system models) are important tools that help scientists
understand the complexities of the Earth's climate. Advances in computing
power have permitted the development of increasingly complex ESMs and the
introduction of better, more accurate parameterizations of processes that are
too complex to be described in detail. One of the least well-controlled
parameterizations involves human activities and their direct impact at local
and regional scales. In order to improve the direct representation of human
activities and climate, we have developed a simple, scalable approach that we
have named the POPEM module (POpulation Parameterization for Earth Models). This
module computes monthly fossil fuel emissions at grid-point scale using the
modeled population projections. This paper shows how integrating POPEM
parameterization into the CESM (Community Earth
System Model) enhances the realism of global climate
modeling, improving this beyond simpler approaches. The results show that it
is indeed advantageous to model CO<sub>2</sub> emissions and pollutants
directly at model grid points rather than using the same mean value globally.
A major bonus of this approach is the increased capacity to understand the
potential effects of localized pollutant emissions on long-term global
climate statistics, thus assisting adaptation and mitigation policies.</p> |
url |
https://www.earth-syst-dynam.net/9/1045/2018/esd-9-1045-2018.pdf |
work_keys_str_mv |
AT anavarro improvingtherepresentationofanthropogeniccosub2subemissionsinclimatemodelsimpactofanewparameterizationforthecommunityearthsystemmodelcesm AT rmoreno improvingtherepresentationofanthropogeniccosub2subemissionsinclimatemodelsimpactofanewparameterizationforthecommunityearthsystemmodelcesm AT fjtapiador improvingtherepresentationofanthropogeniccosub2subemissionsinclimatemodelsimpactofanewparameterizationforthecommunityearthsystemmodelcesm |
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1726011892514684928 |