Extension of the GAINS model to include short-lived climate forcers

This paper presents a first implementation of a new module to calculate the impacts of emission reductions of air pollutants on radiative forcing into IIASA’s GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model. The approach extends the multi-pollutant/multi-effect approach of th...

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Main Authors: Heyes, C., Klimont, Z., Wagner, F., Amann, M.
Format: Book
Language:English
Published: IIASA, Laxenburg, Austria 2011
Subjects:
Online Access:http://pure.iiasa.ac.at/id/eprint/9757/
http://pure.iiasa.ac.at/id/eprint/9757/1/XO-11-052.pdf
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spelling ftiiasalaxendare:oai:pure.iiasa.ac.at:9757 2023-05-15T15:06:52+02:00 Extension of the GAINS model to include short-lived climate forcers Heyes, C. Klimont, Z. Wagner, F. Amann, M. 2011-01 text http://pure.iiasa.ac.at/id/eprint/9757/ http://pure.iiasa.ac.at/id/eprint/9757/1/XO-11-052.pdf en eng IIASA, Laxenburg, Austria http://pure.iiasa.ac.at/id/eprint/9757/1/XO-11-052.pdf Heyes, C. <http://pure.iiasa.ac.at/view/iiasa/123.html> orcid:0000-0001-5254-493X , Klimont, Z. <http://pure.iiasa.ac.at/view/iiasa/159.html> orcid:0000-0003-2630-198X , Wagner, F. <http://pure.iiasa.ac.at/view/iiasa/321.html> orcid:0000-0003-3429-2374 , & Amann, M. <http://pure.iiasa.ac.at/view/iiasa/15.html> orcid:0000-0002-1963-0972 (2011). Extension of the GAINS model to include short-lived climate forcers. IIASA Report. IIASA, Laxenburg, Austria Monograph NonPeerReviewed 2011 ftiiasalaxendare 2022-04-15T12:33:52Z This paper presents a first implementation of a new module to calculate the impacts of emission reductions of air pollutants on radiative forcing into IIASA’s GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model. The approach extends the multi-pollutant/multi-effect approach of the GAINS model that has been used for air pollution impacts (i.e., human health and ecosystems impacts) to also consider impacts on near-term climate change from emissions of five short-lived substances. For the initial implementation presented in this report source-receptor relationships have been developed that quantify the impacts of reductions of the various emission substances in each European country on instantaneous radiative forcing, calculated over the northern Hemisphere, the EMEP model domain, the Arctic and Alpine glaciers. These source-receptor relationships have been derived from calculations of the EMEP Eulerian atmospheric dispersion model, and employed normalized radiative forcing in each grid cell as estimated by CICERO. The GAINS optimization module has been extended such that (a) radiative forcing for different target regions resulting from emission reductions that are optimized for health and environmental impacts of air pollutants can be calculated, (b) radiative forcing can be introduced as a separate constraint in the optimization (replacing targets for health and environmental impacts of air pollutants), and (c) combined strategies that meet constraints on radiative forcing as well as on health and environmental impacts at least costs can be identified. A sample of initial calculations is presented in this report, illustrating the relations between different environmental targets and radiative forcing. It turns out that in general cost-effective improvements of health impacts from PM2.5 and of acidification will increase radiative forcing by up to 150-200 mWm-2 in the EMEP region. In contrast, improvements in eutrophication will hardly affect radiative forcing. Furthermore, there are cheap ways to avoid some of the trade-offs between health effect and radiative forcing targets. This initial analysis focuses on instantaneous radiative forcing over the EMEP domain. Input data and optimization routines have also been developed for carbon deposition on the Arctic and on Alpine glaciers. Analysis of the impacts of alternative emission control scenarios on these receptor regions, and optimization for such targets, will require additional work. It needs to be emphasized that the current analysis is based on an initial data set of the impacts of radiative forcing, which only considers the direct effects of aerosols on radiative forcing. It does not include indirect effects of aerosols (for which an accurate quantification is burdened with significant uncertainties), and ignores changes in radiative forcing that result from changes in ozone burdens in the atmosphere caused by cuts of NOx and VOC emissions. Book Arctic Climate change Human health IIASA DARE (Data Repository of the International Institute of Applied Systems Analysis) Arctic
institution Open Polar
collection IIASA DARE (Data Repository of the International Institute of Applied Systems Analysis)
op_collection_id ftiiasalaxendare
language English
description This paper presents a first implementation of a new module to calculate the impacts of emission reductions of air pollutants on radiative forcing into IIASA’s GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model. The approach extends the multi-pollutant/multi-effect approach of the GAINS model that has been used for air pollution impacts (i.e., human health and ecosystems impacts) to also consider impacts on near-term climate change from emissions of five short-lived substances. For the initial implementation presented in this report source-receptor relationships have been developed that quantify the impacts of reductions of the various emission substances in each European country on instantaneous radiative forcing, calculated over the northern Hemisphere, the EMEP model domain, the Arctic and Alpine glaciers. These source-receptor relationships have been derived from calculations of the EMEP Eulerian atmospheric dispersion model, and employed normalized radiative forcing in each grid cell as estimated by CICERO. The GAINS optimization module has been extended such that (a) radiative forcing for different target regions resulting from emission reductions that are optimized for health and environmental impacts of air pollutants can be calculated, (b) radiative forcing can be introduced as a separate constraint in the optimization (replacing targets for health and environmental impacts of air pollutants), and (c) combined strategies that meet constraints on radiative forcing as well as on health and environmental impacts at least costs can be identified. A sample of initial calculations is presented in this report, illustrating the relations between different environmental targets and radiative forcing. It turns out that in general cost-effective improvements of health impacts from PM2.5 and of acidification will increase radiative forcing by up to 150-200 mWm-2 in the EMEP region. In contrast, improvements in eutrophication will hardly affect radiative forcing. Furthermore, there are cheap ways to avoid some of the trade-offs between health effect and radiative forcing targets. This initial analysis focuses on instantaneous radiative forcing over the EMEP domain. Input data and optimization routines have also been developed for carbon deposition on the Arctic and on Alpine glaciers. Analysis of the impacts of alternative emission control scenarios on these receptor regions, and optimization for such targets, will require additional work. It needs to be emphasized that the current analysis is based on an initial data set of the impacts of radiative forcing, which only considers the direct effects of aerosols on radiative forcing. It does not include indirect effects of aerosols (for which an accurate quantification is burdened with significant uncertainties), and ignores changes in radiative forcing that result from changes in ozone burdens in the atmosphere caused by cuts of NOx and VOC emissions.
format Book
author Heyes, C.
Klimont, Z.
Wagner, F.
Amann, M.
spellingShingle Heyes, C.
Klimont, Z.
Wagner, F.
Amann, M.
Extension of the GAINS model to include short-lived climate forcers
author_facet Heyes, C.
Klimont, Z.
Wagner, F.
Amann, M.
author_sort Heyes, C.
title Extension of the GAINS model to include short-lived climate forcers
title_short Extension of the GAINS model to include short-lived climate forcers
title_full Extension of the GAINS model to include short-lived climate forcers
title_fullStr Extension of the GAINS model to include short-lived climate forcers
title_full_unstemmed Extension of the GAINS model to include short-lived climate forcers
title_sort extension of the gains model to include short-lived climate forcers
publisher IIASA, Laxenburg, Austria
publishDate 2011
url http://pure.iiasa.ac.at/id/eprint/9757/
http://pure.iiasa.ac.at/id/eprint/9757/1/XO-11-052.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Human health
genre_facet Arctic
Climate change
Human health
op_relation http://pure.iiasa.ac.at/id/eprint/9757/1/XO-11-052.pdf
Heyes, C. <http://pure.iiasa.ac.at/view/iiasa/123.html> orcid:0000-0001-5254-493X , Klimont, Z. <http://pure.iiasa.ac.at/view/iiasa/159.html> orcid:0000-0003-2630-198X , Wagner, F. <http://pure.iiasa.ac.at/view/iiasa/321.html> orcid:0000-0003-3429-2374 , & Amann, M. <http://pure.iiasa.ac.at/view/iiasa/15.html> orcid:0000-0002-1963-0972 (2011). Extension of the GAINS model to include short-lived climate forcers. IIASA Report. IIASA, Laxenburg, Austria
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