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Assessment of GloseA4 seasonal forecasts for SADC and the global oceans

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dc.contributor.author Landman, WA
dc.contributor.author Graham, R
dc.contributor.author Knight, J
dc.contributor.author Engelbrecht, C
dc.contributor.author Olivier, C
dc.date.accessioned 2013-02-04T07:58:37Z
dc.date.available 2013-02-04T07:58:37Z
dc.date.issued 2012-09
dc.identifier.citation Landman, WA, Graham, R, Knight, J, Engelbrecht, C and Olivier, C. 2012. Assessment of GloseA4 seasonal forecasts for SADC and the global oceans. 28th Annual Conference of the South African Society of Atmospheric Sciences, Breakwater Protea Hotel, Cape Town, 26-27 September 2012 en_US
dc.identifier.isbn 978-0-620-50849-0
dc.identifier.uri http://www.researchgate.net/publication/232743295_Assessment_of_GloSea4_seasonal_forecasts_for_SADC_and_the_global_oceans
dc.identifier.uri http://hdl.handle.net/10204/6523
dc.description 28th Annual Conference of the South African Society of Atmospheric Sciences, Breakwater Protea Hotel, Cape Town, 26-27 September 2012 en_US
dc.description.abstract Seasonal forecast skill over southern Africa may improve through the combination of forecasts. In the southern African region, however, only a small number of institutions have the capability to run global models operationally which can feed into multi-models. Moreover, coupled ocean-atmosphere models have the ability to outscore atmospheric models, also for southern Africa (Landman et al., 2012). The main objective of this paper is to demonstrate the skill of the UK Met Office Hadley Centre’s coupled global seasonal forecasting system (GloSea4: Arribas et al., 2011) as a seasonal forecasting tool for SADC and for the global oceans. In addition, the value of including GloSea4 forecasts into multi-model systems is tested. These investigations are conducted by testing the model’s ability to predict seasonal rainfall totals during the austral spring (SON), mid-summer (DJF) and autumn (MAM) seasons over the region, and for monthly sea-surface temperature anomalies during mid-summer. The model’s ability to simulate SADC’s intra-seasonal rainfall and low-level circulation characteristics is also investigated. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;10214
dc.subject Southern African seasonal forecast en_US
dc.subject GloSea4 forecasts en_US
dc.subject Model output statistics en_US
dc.subject Rainfall variability en_US
dc.title Assessment of GloseA4 seasonal forecasts for SADC and the global oceans en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Landman, W., Graham, R., Knight, J., Engelbrecht, C., & Olivier, C. (2012). Assessment of GloseA4 seasonal forecasts for SADC and the global oceans. http://hdl.handle.net/10204/6523 en_ZA
dc.identifier.chicagocitation Landman, WA, R Graham, J Knight, C Engelbrecht, and C Olivier. "Assessment of GloseA4 seasonal forecasts for SADC and the global oceans." (2012): http://hdl.handle.net/10204/6523 en_ZA
dc.identifier.vancouvercitation Landman W, Graham R, Knight J, Engelbrecht C, Olivier C, Assessment of GloseA4 seasonal forecasts for SADC and the global oceans; 2012. http://hdl.handle.net/10204/6523 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Landman, WA AU - Graham, R AU - Knight, J AU - Engelbrecht, C AU - Olivier, C AB - Seasonal forecast skill over southern Africa may improve through the combination of forecasts. In the southern African region, however, only a small number of institutions have the capability to run global models operationally which can feed into multi-models. Moreover, coupled ocean-atmosphere models have the ability to outscore atmospheric models, also for southern Africa (Landman et al., 2012). The main objective of this paper is to demonstrate the skill of the UK Met Office Hadley Centre’s coupled global seasonal forecasting system (GloSea4: Arribas et al., 2011) as a seasonal forecasting tool for SADC and for the global oceans. In addition, the value of including GloSea4 forecasts into multi-model systems is tested. These investigations are conducted by testing the model’s ability to predict seasonal rainfall totals during the austral spring (SON), mid-summer (DJF) and autumn (MAM) seasons over the region, and for monthly sea-surface temperature anomalies during mid-summer. The model’s ability to simulate SADC’s intra-seasonal rainfall and low-level circulation characteristics is also investigated. DA - 2012-09 DB - ResearchSpace DP - CSIR KW - Southern African seasonal forecast KW - GloSea4 forecasts KW - Model output statistics KW - Rainfall variability LK - https://researchspace.csir.co.za PY - 2012 SM - 978-0-620-50849-0 T1 - Assessment of GloseA4 seasonal forecasts for SADC and the global oceans TI - Assessment of GloseA4 seasonal forecasts for SADC and the global oceans UR - http://hdl.handle.net/10204/6523 ER - en_ZA


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