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

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-...

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Bibliographic Details
Other Authors: ARC Centre of Excellence for Climate System Science Data Manager (isManagedBy), ARC Centre of Excellence for Climate System Science (Owner of)
Format: Dataset
Language:unknown
Published: ARC Centre of Excellence for Climate System Science
Subjects:
DMS
aerosol
Cloud Physics
EARTH SCIENCES
ATMOSPHERIC SCIENCES
Atmospheric Aerosols
Climate Change Processes
DIMETHYL SULFIDE
EARTH SCIENCE
ATMOSPHERE
ATMOSPHERIC CHEMISTRY
SULFUR COMPOUNDS
Sea ice
Online Access:https://researchdata.edu.au/effects-dimethyl-sulfide-v1-0/1332000
https://doi.org/10.4225/41/5b35c03d52de9
https://doi.org/10.5194/acp-12-4449-2012
https://doi.org/10.1029/2010GB003850
https://saga.pmel.noaa.gov/dms/select.php
https://doi.org/10.5194/acp-18-10177-2018
Description
Summary: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. 2011 oceanic 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".

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