ResearchSpace

The CCAM as operational seasonal forecast system

Show simple item record

dc.contributor.author Landman, WA
dc.contributor.author Engelbrecht, F
dc.contributor.author Park, R
dc.date.accessioned 2012-05-29T13:11:46Z
dc.date.available 2012-05-29T13:11:46Z
dc.date.issued 2011-10
dc.identifier.citation Landman, WA, Engelbrecht, F and Park, R. The CCAM as operational seasonal forecast system. SATREPS Symposium on Climate Prediction and Its Application in the Southern African Region, The University of Tokyo, 20-21 October 2011 en_US
dc.identifier.uri http://hdl.handle.net/10204/5882
dc.description SATREPS Symposium on Climate Prediction and Its Application in the Southern African Region, The University of Tokyo, 20-21 October 2011 en_US
dc.description.abstract The procedure to build an optimised seasonal prediction system that includes the prediction of global SST to force the CCAM is explained. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;8654
dc.subject CCAM en_US
dc.subject Seasonal prediction en_US
dc.title The CCAM as operational seasonal forecast system en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Landman, W., Engelbrecht, F., & Park, R. (2011). The CCAM as operational seasonal forecast system. http://hdl.handle.net/10204/5882 en_ZA
dc.identifier.chicagocitation Landman, WA, F Engelbrecht, and R Park. "The CCAM as operational seasonal forecast system." (2011): http://hdl.handle.net/10204/5882 en_ZA
dc.identifier.vancouvercitation Landman W, Engelbrecht F, Park R, The CCAM as operational seasonal forecast system; 2011. http://hdl.handle.net/10204/5882 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Landman, WA AU - Engelbrecht, F AU - Park, R AB - The procedure to build an optimised seasonal prediction system that includes the prediction of global SST to force the CCAM is explained. DA - 2011-10 DB - ResearchSpace DP - CSIR KW - CCAM KW - Seasonal prediction LK - https://researchspace.csir.co.za PY - 2011 T1 - The CCAM as operational seasonal forecast system TI - The CCAM as operational seasonal forecast system UR - http://hdl.handle.net/10204/5882 ER - en_ZA


Files in this item

Icon
Name: Landman1_2011.ppsx
Size: 6.208Mb
Format: Microsoft PowerPoint
View/Open

This item appears in the following Collection(s)

Show simple item record