Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea
Sea-to-air fluxes of marine biogenic aerosols have the potential to modify cloud microphysics and regional radiative budgets, and thus moderate Earth's warming. Polar regions play a critical role in the evolution of global climate. In this work, we use a well-established biogeochemical model to...
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ftgriffithuniv:oai:research-repository.griffith.edu.au:10072/351545 2023-05-15T15:06:26+02:00 Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea Qu, Bo Gabric, Albert Zeng, Meifang Xi, Jiaojiao Jiang, Limei Zhao, Li 2017 http://hdl.handle.net/10072/351545 https://doi.org/10.1016/j.polar.2017.07.001 English eng Elsevier Polar Science Chemical Oceanography Journal article 2017 ftgriffithuniv https://doi.org/10.1016/j.polar.2017.07.001 2018-07-30T10:57:53Z Sea-to-air fluxes of marine biogenic aerosols have the potential to modify cloud microphysics and regional radiative budgets, and thus moderate Earth's warming. Polar regions play a critical role in the evolution of global climate. In this work, we use a well-established biogeochemical model to simulate the DMS flux from the Greenland Sea (20°W–10°E and 70°N–80°N) for the period 2003–2004. Parameter sensitivity analysis is employed to identify the most sensitive parameters in the model. A genetic algorithm (GA) technique is used for DMS model parameter calibration. Data from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are used to drive the DMS model under 4 × CO2 conditions. DMS flux under quadrupled CO2 levels increases more than 300% compared with late 20th century levels (1 × CO2). Reasons for the increase in DMS flux include changes in the ocean state—namely an increase in sea surface temperature (SST) and loss of sea ice—and an increase in DMS transfer velocity, especially in spring and summer. Such a large increase in DMS flux could slow the rate of warming in the Arctic via radiative budget changes associated with DMS-derived aerosols. No Full Text Article in Journal/Newspaper Arctic Greenland Greenland Sea Polar Science Polar Science Sea ice Griffith University: Griffith Research Online Arctic Greenland Polar Science 13 13 22 |
institution |
Open Polar |
collection |
Griffith University: Griffith Research Online |
op_collection_id |
ftgriffithuniv |
language |
English |
topic |
Chemical Oceanography |
spellingShingle |
Chemical Oceanography Qu, Bo Gabric, Albert Zeng, Meifang Xi, Jiaojiao Jiang, Limei Zhao, Li Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea |
topic_facet |
Chemical Oceanography |
description |
Sea-to-air fluxes of marine biogenic aerosols have the potential to modify cloud microphysics and regional radiative budgets, and thus moderate Earth's warming. Polar regions play a critical role in the evolution of global climate. In this work, we use a well-established biogeochemical model to simulate the DMS flux from the Greenland Sea (20°W–10°E and 70°N–80°N) for the period 2003–2004. Parameter sensitivity analysis is employed to identify the most sensitive parameters in the model. A genetic algorithm (GA) technique is used for DMS model parameter calibration. Data from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are used to drive the DMS model under 4 × CO2 conditions. DMS flux under quadrupled CO2 levels increases more than 300% compared with late 20th century levels (1 × CO2). Reasons for the increase in DMS flux include changes in the ocean state—namely an increase in sea surface temperature (SST) and loss of sea ice—and an increase in DMS transfer velocity, especially in spring and summer. Such a large increase in DMS flux could slow the rate of warming in the Arctic via radiative budget changes associated with DMS-derived aerosols. No Full Text |
format |
Article in Journal/Newspaper |
author |
Qu, Bo Gabric, Albert Zeng, Meifang Xi, Jiaojiao Jiang, Limei Zhao, Li |
author_facet |
Qu, Bo Gabric, Albert Zeng, Meifang Xi, Jiaojiao Jiang, Limei Zhao, Li |
author_sort |
Qu, Bo |
title |
Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea |
title_short |
Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea |
title_full |
Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea |
title_fullStr |
Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea |
title_full_unstemmed |
Dimethylsulfide model calibration and parametric sensitivity analysis for the Greenland Sea |
title_sort |
dimethylsulfide model calibration and parametric sensitivity analysis for the greenland sea |
publisher |
Elsevier |
publishDate |
2017 |
url |
http://hdl.handle.net/10072/351545 https://doi.org/10.1016/j.polar.2017.07.001 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Greenland Sea Polar Science Polar Science Sea ice |
genre_facet |
Arctic Greenland Greenland Sea Polar Science Polar Science Sea ice |
op_relation |
Polar Science |
op_doi |
https://doi.org/10.1016/j.polar.2017.07.001 |
container_title |
Polar Science |
container_volume |
13 |
container_start_page |
13 |
op_container_end_page |
22 |
_version_ |
1766338031463170048 |