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Antarctic stratospheric ozone and seasonal predictability over southern Africa

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dc.contributor.author Engelbrecht, FA
dc.contributor.author Ndarana, T
dc.contributor.author Morioka, Y
dc.contributor.author Behera, S
dc.contributor.author Thatcher, M
dc.contributor.author McGregor, JL
dc.date.accessioned 2016-10-13T13:40:26Z
dc.date.available 2016-10-13T13:40:26Z
dc.date.issued 2015-09
dc.identifier.citation Engelbrecht, F.A., Ndarana, T., Morioka, Y., Behera, S., Thatcher, M. and McGregor, J.L. 2015. Antarctic stratospheric ozone and seasonal predictability over southern Africa. In: 31st Conference of the South African Society for Atmospheric Science: Applying the weather, Hennops River Valley, Centurion, South Africa, 21-22 September 2015, 20-22 en_US
dc.identifier.isbn 978-0-620-67825-4
dc.identifier.uri http://hdl.handle.net/10204/8829
dc.description 31st Conference of the South African Society for Atmospheric Science: Applying the weather, Hennops River Valley, Centurion, South Africa, 21-22 September 2015 en_US
dc.description.abstract The impact of time-varying Antarctic stratospheric ozone on southern African summer climate variability is explored through atmospheric global circulation model (AGCM) sensitivity experiments. A control experiment following the design of the Atmospheric Model Intercomparison project (AMIP) was performed first, generating different ensemble members using a lagged-average forecasting approach. These simulations are shown to be skilful in representing southern African summer-season inter-annual variability. This skill can be improved upon, over the entire southern African region, by replacing the climatological ozone distributions in the AMIP experiment by realistic time-varying ozone concentrations. en_US
dc.language.iso en en_US
dc.publisher SASAS en_US
dc.relation.ispartofseries Workflow;16857
dc.subject Antarctic stratospheric ozone en_US
dc.subject Global atmospheric model en_US
dc.subject Seasonal predictability en_US
dc.subject Southern Africa en_US
dc.title Antarctic stratospheric ozone and seasonal predictability over southern Africa en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Engelbrecht, F., Ndarana, T., Morioka, Y., Behera, S., Thatcher, M., & McGregor, J. (2015). Antarctic stratospheric ozone and seasonal predictability over southern Africa. SASAS. http://hdl.handle.net/10204/8829 en_ZA
dc.identifier.chicagocitation Engelbrecht, FA, T Ndarana, Y Morioka, S Behera, M Thatcher, and JL McGregor. "Antarctic stratospheric ozone and seasonal predictability over southern Africa." (2015): http://hdl.handle.net/10204/8829 en_ZA
dc.identifier.vancouvercitation Engelbrecht F, Ndarana T, Morioka Y, Behera S, Thatcher M, McGregor J, Antarctic stratospheric ozone and seasonal predictability over southern Africa; SASAS; 2015. http://hdl.handle.net/10204/8829 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Engelbrecht, FA AU - Ndarana, T AU - Morioka, Y AU - Behera, S AU - Thatcher, M AU - McGregor, JL AB - The impact of time-varying Antarctic stratospheric ozone on southern African summer climate variability is explored through atmospheric global circulation model (AGCM) sensitivity experiments. A control experiment following the design of the Atmospheric Model Intercomparison project (AMIP) was performed first, generating different ensemble members using a lagged-average forecasting approach. These simulations are shown to be skilful in representing southern African summer-season inter-annual variability. This skill can be improved upon, over the entire southern African region, by replacing the climatological ozone distributions in the AMIP experiment by realistic time-varying ozone concentrations. DA - 2015-09 DB - ResearchSpace DP - CSIR KW - Antarctic stratospheric ozone KW - Global atmospheric model KW - Seasonal predictability KW - Southern Africa LK - https://researchspace.csir.co.za PY - 2015 SM - 978-0-620-67825-4 T1 - Antarctic stratospheric ozone and seasonal predictability over southern Africa TI - Antarctic stratospheric ozone and seasonal predictability over southern Africa UR - http://hdl.handle.net/10204/8829 ER - en_ZA


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