Pareto optimal analysis of global warming prevention by geoengineering methods

The study is based on a three-dimensional hydrodynamic global climate coupled model, including ocean model with real depths and continents configuration, sea ice evolution model and energy and moisture balance atmosphere model. Aerosol concentration from the year 2010 to 2100 is calculated as a cont...

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Published in:Computer Research and Modeling
Main Author: P. V. Parkhomenko
Format: Article in Journal/Newspaper
Language:Russian
Published: Institute of Computer Science 2015
Subjects:
Online Access:https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108
https://doaj.org/article/843977b52a9f4a2381f6be109ca73482
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spelling ftdoajarticles:oai:doaj.org/article:843977b52a9f4a2381f6be109ca73482 2023-05-15T18:18:19+02:00 Pareto optimal analysis of global warming prevention by geoengineering methods P. V. Parkhomenko 2015-10-01T00:00:00Z https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108 https://doaj.org/article/843977b52a9f4a2381f6be109ca73482 RU rus Institute of Computer Science http://crm.ics.org.ru/uploads/crmissues/crm_2015_5/15.07.111.pdf https://doaj.org/toc/2076-7633 https://doaj.org/toc/2077-6853 2076-7633 2077-6853 doi:10.20537/2076-7633-2015-7-5-1097-1108 https://doaj.org/article/843977b52a9f4a2381f6be109ca73482 Компьютерные исследования и моделирование, Vol 7, Iss 5, Pp 1097-1108 (2015) climate modelling geoengineering climate stabilization Applied mathematics. Quantitative methods T57-57.97 Mathematics QA1-939 article 2015 ftdoajarticles https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108 2022-12-31T14:55:20Z The study is based on a three-dimensional hydrodynamic global climate coupled model, including ocean model with real depths and continents configuration, sea ice evolution model and energy and moisture balance atmosphere model. Aerosol concentration from the year 2010 to 2100 is calculated as a controlling parameter to stabilize mean year surface air temperature. It is shown that by this way it is impossible to achieve the space and seasonal uniform approximation to the existing climate, although it is possible significantly reduce the greenhouse warming effect. Climate will be colder at 0.1-0.2 degrees in the low and mid-latitudes and at high latitudes it will be warmer at 0.2-1.2 degrees. The Pareto frontier is investigated and visualized for two parameters - atmospheric temperature mean square deviation for the winter and summer seasons. The Pareto optimal amount of sulfur emissions would be between 23.5 and 26.5 TgS/year. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Computer Research and Modeling 7 5 1097 1108
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language Russian
topic climate modelling
geoengineering
climate stabilization
Applied mathematics. Quantitative methods
T57-57.97
Mathematics
QA1-939
spellingShingle climate modelling
geoengineering
climate stabilization
Applied mathematics. Quantitative methods
T57-57.97
Mathematics
QA1-939
P. V. Parkhomenko
Pareto optimal analysis of global warming prevention by geoengineering methods
topic_facet climate modelling
geoengineering
climate stabilization
Applied mathematics. Quantitative methods
T57-57.97
Mathematics
QA1-939
description The study is based on a three-dimensional hydrodynamic global climate coupled model, including ocean model with real depths and continents configuration, sea ice evolution model and energy and moisture balance atmosphere model. Aerosol concentration from the year 2010 to 2100 is calculated as a controlling parameter to stabilize mean year surface air temperature. It is shown that by this way it is impossible to achieve the space and seasonal uniform approximation to the existing climate, although it is possible significantly reduce the greenhouse warming effect. Climate will be colder at 0.1-0.2 degrees in the low and mid-latitudes and at high latitudes it will be warmer at 0.2-1.2 degrees. The Pareto frontier is investigated and visualized for two parameters - atmospheric temperature mean square deviation for the winter and summer seasons. The Pareto optimal amount of sulfur emissions would be between 23.5 and 26.5 TgS/year.
format Article in Journal/Newspaper
author P. V. Parkhomenko
author_facet P. V. Parkhomenko
author_sort P. V. Parkhomenko
title Pareto optimal analysis of global warming prevention by geoengineering methods
title_short Pareto optimal analysis of global warming prevention by geoengineering methods
title_full Pareto optimal analysis of global warming prevention by geoengineering methods
title_fullStr Pareto optimal analysis of global warming prevention by geoengineering methods
title_full_unstemmed Pareto optimal analysis of global warming prevention by geoengineering methods
title_sort pareto optimal analysis of global warming prevention by geoengineering methods
publisher Institute of Computer Science
publishDate 2015
url https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108
https://doaj.org/article/843977b52a9f4a2381f6be109ca73482
genre Sea ice
genre_facet Sea ice
op_source Компьютерные исследования и моделирование, Vol 7, Iss 5, Pp 1097-1108 (2015)
op_relation http://crm.ics.org.ru/uploads/crmissues/crm_2015_5/15.07.111.pdf
https://doaj.org/toc/2076-7633
https://doaj.org/toc/2077-6853
2076-7633
2077-6853
doi:10.20537/2076-7633-2015-7-5-1097-1108
https://doaj.org/article/843977b52a9f4a2381f6be109ca73482
op_doi https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108
container_title Computer Research and Modeling
container_volume 7
container_issue 5
container_start_page 1097
op_container_end_page 1108
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