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Computer Research and Modeling, 2015, Volume 7, Issue 5, Pages 1097–1108
DOI: https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108
(Mi crm282)
 

This article is cited in 1 scientific paper (total in 1 paper)

MODELS IN PHYSICS AND TECHNOLOGY

Pareto optimal analysis of global warming prevention by geoengineering methods

V. P. Parkhomenko

Dorodnicyn Computing Centre of RAS, 40 Vavilov st., Moscow, 119333, Russia
Full-text PDF (600 kB) Citations (1)
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Abstract: 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.
Keywords: climate modelling, geoengineering, climate stabilization.
Funding agency Grant number
Russian Foundation for Basic Research 14-01-00308
14-07-00037
Received: 11.06.2015
Document Type: Article
UDC: 551.5, 517
Language: Russian
Citation: V. P. Parkhomenko, “Pareto optimal analysis of global warming prevention by geoengineering methods”, Computer Research and Modeling, 7:5 (2015), 1097–1108
Citation in format AMSBIB
\Bibitem{Par15}
\by V.~P.~Parkhomenko
\paper Pareto optimal analysis of global warming prevention by geoengineering methods
\jour Computer Research and Modeling
\yr 2015
\vol 7
\issue 5
\pages 1097--1108
\mathnet{http://mi.mathnet.ru/crm282}
\crossref{https://doi.org/10.20537/2076-7633-2015-7-5-1097-1108}
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  • https://www.mathnet.ru/eng/crm/v7/i5/p1097
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:115
    Full-text PDF :150
    References:24
     
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