dc.contributor.author |
Landman, WA
|
|
dc.contributor.author |
Graham, R
|
|
dc.contributor.author |
Knight, J
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|
dc.contributor.author |
Engelbrecht, C
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|
dc.contributor.author |
Olivier, C
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|
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 -
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en_ZA |