Dataset

Effects of dimethyl sulfide pertubations in ACCESS-UKCA climate simulations V1-0

Also known as: DMS_ACCESS-UKCA
ARC Centre of Excellence for Climate System Science
ARC Centre of Excellence for Climate System Science Data Manager (Managed by) Sonya Fiddes (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/41/5b35c03d52de9&rft.title=Effects of dimethyl sulfide pertubations in ACCESS-UKCA climate simulations V1-0&rft.identifier=10.4225/41/5b35c03d52de9&rft.publisher=ARC Centre of Excellence for Climate System Science&rft.description=This dataset includes 10-year averages of cloud, radiation, precipitation and aerosol/chemistry fields from the Australian Community Climate and Earth System Simulator (ACCESS) United Kingdom Chemistry and Aerosol (UKCA) model. This model includes a sophisticated chemistry and aerosol scheme GLOMAP-mode. The model runs were used to evaluate cloud, radiation and precipitation of this model and to quantify the role of dimethyl sulfide in the global climate system. Simulations were run from 2000-2009, including a control run and two experimental runs that look at the climate response to large changes in oceanic dimethyl sulfide (DMS). The horizontal grid resolution is 1.25 degree latitude, 1.85 degree longitude, with 85 vertical levels, SSTs and sea ice were prescribed to AMIP SSTs and the model was nudged to ERA-Interim. Emissions were prescribed to ACCMIP pre-2000, and RCP6.0 post 2000.  Three simulations were performed where the oceanic surface concentrations of DMS were altered:  Control -- a control run (using the Lana et al. 2011oceanic DMS data set)  zero_DMS -- a run in which oceanic dimethyl sulfide is removed (set to zero)  max_DMS -- a run in which oceanic dimethyl sulfide is set to its latitudinal maximum.  A detailed description of the model and the experimental set up can be found here: Fiddes et al. 2018 The model simulations were run on the National Computing Infrastructure (NCI) facilities. Python 2.7 was used to do the analysis of model output. The simulations and analysis were performed by Sonya Fiddes as part of her PhD with the ARC Centre of Excellence for Climate System Science research program: The effects of tropical convection on Australia's climate.  &rft.creator=Sonya Fiddes&rft.date=2018&rft.relation=10.5194/acp-12-4449-2012&rft.relation=10.1029/2010GB003850&rft.relation=10.5194/acp-2017-1141&rft.coverage=-180,-90 180,-90 180,90 -180,90 -180,-90&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=Creative Commons - Attribution - Non Commercial - No Derivatives 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Dms&rft_subject=Aerosol&rft_subject=Cloud Physics&rft_subject=Earth Sciences&rft_subject=Atmospheric Sciences&rft_subject=Atmospheric Aerosols&rft_subject=Climate Change Processes&rft_subject=Dimethyl Sulfide&rft_subject=Earth Science&rft_subject=Atmosphere&rft_subject=Atmospheric Chemistry&rft_subject=Sulfur Compounds&rft.type=dataset&rft.language=English Access the data

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CC-BY-NC-SA

Creative Commons - Attribution - Non Commercial - No Derivatives 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

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Dataset is available online

Full description

This dataset includes 10-year averages of cloud, radiation, precipitation and aerosol/chemistry fields from the Australian Community Climate and Earth System Simulator (ACCESS) United Kingdom Chemistry and Aerosol (UKCA) model. This model includes a sophisticated chemistry and aerosol scheme GLOMAP-mode. The model runs were used to evaluate cloud, radiation and precipitation of this model and to quantify the role of dimethyl sulfide in the global climate system.

Simulations were run from 2000-2009, including a control run and two experimental runs that look at the climate response to large changes in oceanic dimethyl sulfide (DMS).

The horizontal grid resolution is 1.25 degree latitude, 1.85 degree longitude, with 85 vertical levels, SSTs and sea ice were prescribed to AMIP SSTs and the model was nudged to ERA-Interim. Emissions were prescribed to ACCMIP pre-2000, and RCP6.0 post 2000. 

Three simulations were performed where the oceanic surface concentrations of DMS were altered:

 Control -- a control run (using the Lana et al. 2011oceanic DMS data set)

 zero_DMS -- a run in which oceanic dimethyl sulfide is removed (set to zero)

 max_DMS -- a run in which oceanic dimethyl sulfide is set to its latitudinal maximum.

 A detailed description of the model and the experimental set up can be found here: Fiddes et al. 2018

The model simulations were run on the National Computing Infrastructure (NCI) facilities. Python 2.7 was used to do the analysis of model output.

The simulations and analysis were performed by Sonya Fiddes as part of her PhD with the ARC Centre of Excellence for Climate System Science research program: "The effects of tropical convection on Australia's climate".

 

Created: 2018-06-01

Data time period: 2000 to 31 12 2009

-180,-90 0,-90 180,-90 180,90 0,90 -180,90 -180,-90

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