dc.contributor.author |
Landman, WA
|
|
dc.date.accessioned |
2012-07-25T06:35:24Z |
|
dc.date.available |
2012-07-25T06:35:24Z |
|
dc.date.issued |
2012-06 |
|
dc.identifier.citation |
Landman, WA. Seasonal prediction for Southern Africa: Maximising the skill from forecast systems. June 2012. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/6005
|
|
dc.description |
Presentation, June 2012. |
en_US |
dc.description.abstract |
The development of seasonal forecast systems for southern Africa is presented, followed by the justification why certain model configurations have been selected in order to optimise seasonal forecast performance. The skill of the HadGEM3 coupled model of the UK Met Office as seasonal forecast system for SADC and for the global oceans is also presented, as well as examples of application forecasts of crop yield and streamflow. |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
Workflow;9215 |
|
dc.subject |
Seasonal forecasting |
en_US |
dc.subject |
Multi-model systems |
en_US |
dc.subject |
Coupled models |
en_US |
dc.subject |
HadGEM3 coupled model |
en_US |
dc.subject |
Climate research |
en_US |
dc.title |
Seasonal prediction for Southern Africa: Maximising the skill from forecast systems |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Landman, W. (2012). Seasonal prediction for Southern Africa: Maximising the skill from forecast systems. http://hdl.handle.net/10204/6005 |
en_ZA |
dc.identifier.chicagocitation |
Landman, WA. "Seasonal prediction for Southern Africa: Maximising the skill from forecast systems." (2012): http://hdl.handle.net/10204/6005 |
en_ZA |
dc.identifier.vancouvercitation |
Landman W, Seasonal prediction for Southern Africa: Maximising the skill from forecast systems; 2012. http://hdl.handle.net/10204/6005 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Landman, WA
AB - The development of seasonal forecast systems for southern Africa is presented, followed by the justification why certain model configurations have been selected in order to optimise seasonal forecast performance. The skill of the HadGEM3 coupled model of the UK Met Office as seasonal forecast system for SADC and for the global oceans is also presented, as well as examples of application forecasts of crop yield and streamflow.
DA - 2012-06
DB - ResearchSpace
DP - CSIR
KW - Seasonal forecasting
KW - Multi-model systems
KW - Coupled models
KW - HadGEM3 coupled model
KW - Climate research
LK - https://researchspace.csir.co.za
PY - 2012
T1 - Seasonal prediction for Southern Africa: Maximising the skill from forecast systems
TI - Seasonal prediction for Southern Africa: Maximising the skill from forecast systems
UR - http://hdl.handle.net/10204/6005
ER -
|
en_ZA |