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Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa

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dc.contributor.author Tozuka, T
dc.contributor.author Abiodun, BJ
dc.contributor.author Engelbrecht, FA
dc.date.accessioned 2014-06-17T10:26:49Z
dc.date.available 2014-06-17T10:26:49Z
dc.date.issued 2013-03
dc.identifier.citation Tozuka, T, Abiodun, B.J and Engelbrecht, F.A. 2013. Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa. Climate Dynamics, vol. 42(1-2), pp 433-451 en_US
dc.identifier.issn 0930-7575
dc.identifier.uri http://link.springer.com/article/10.1007%2Fs00382-013-1738-4
dc.identifier.uri http://hdl.handle.net/10204/7456
dc.description Copyright: 2013 Springer. This is an ABSTRACT ONLY. The definitive version is published in Climate Dynamics, vol. 42(1-2), pp 433-451 en_US
dc.description.abstract This study examines southern African summer rainfall and tropical temperate troughs (TTTs) simulated with three versions of an atmospheric general circulation model differing only in the convection scheme. All three versions provide realistic simulations of key aspects of the summer (November–February) rainfall, such as the spatial distribution of total rainfall and the percentage of rainfall associated with TTTs. However, one version has a large bias in the onset of the rainy season. Results from selforganizing map (SOM) analysis on simulated daily precipitation data reveals that this is because the occurrence of TTTs is underestimated in November. This model bias is not related to westerly wind shear that provides favorable conditions for the development of TTTs. Rather, it is related to excessive upper level convergence and associated subsidence over southern Africa. Furthermore, the model versions are shown to be successful in capturing the observed drier (wetter) conditions over the southern African region during El Nino (La Nina) years. The SOM analysis reveals that nodes associated with TTTs in the southern (northern) part of the domain are observed less (more) often during El Nino years, while nodes associated with TTTs occur more frequently during La Nina years. Also, nodes associated with dry conditions over southern Africa are more (less) frequently observed during El Nino (La Nina) years. The models tend to perform better for La Nina events, because they are more successful in representing the observed frequency of different synoptic patterns. en_US
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartofseries Workflow;12786
dc.subject Climate models en_US
dc.subject Convection schemes en_US
dc.subject Tropical temperate troughs en_US
dc.title Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa en_US
dc.type Article en_US
dc.identifier.apacitation Tozuka, T., Abiodun, B., & Engelbrecht, F. (2013). Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa. http://hdl.handle.net/10204/7456 en_ZA
dc.identifier.chicagocitation Tozuka, T, BJ Abiodun, and FA Engelbrecht "Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa." (2013) http://hdl.handle.net/10204/7456 en_ZA
dc.identifier.vancouvercitation Tozuka T, Abiodun B, Engelbrecht F. Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa. 2013; http://hdl.handle.net/10204/7456. en_ZA
dc.identifier.ris TY - Article AU - Tozuka, T AU - Abiodun, BJ AU - Engelbrecht, FA AB - This study examines southern African summer rainfall and tropical temperate troughs (TTTs) simulated with three versions of an atmospheric general circulation model differing only in the convection scheme. All three versions provide realistic simulations of key aspects of the summer (November–February) rainfall, such as the spatial distribution of total rainfall and the percentage of rainfall associated with TTTs. However, one version has a large bias in the onset of the rainy season. Results from selforganizing map (SOM) analysis on simulated daily precipitation data reveals that this is because the occurrence of TTTs is underestimated in November. This model bias is not related to westerly wind shear that provides favorable conditions for the development of TTTs. Rather, it is related to excessive upper level convergence and associated subsidence over southern Africa. Furthermore, the model versions are shown to be successful in capturing the observed drier (wetter) conditions over the southern African region during El Nino (La Nina) years. The SOM analysis reveals that nodes associated with TTTs in the southern (northern) part of the domain are observed less (more) often during El Nino years, while nodes associated with TTTs occur more frequently during La Nina years. Also, nodes associated with dry conditions over southern Africa are more (less) frequently observed during El Nino (La Nina) years. The models tend to perform better for La Nina events, because they are more successful in representing the observed frequency of different synoptic patterns. DA - 2013-03 DB - ResearchSpace DP - CSIR KW - Climate models KW - Convection schemes KW - Tropical temperate troughs LK - https://researchspace.csir.co.za PY - 2013 SM - 0930-7575 T1 - Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa TI - Impacts of convection schemes on simulating tropical-temperate troughs over southern Africa UR - http://hdl.handle.net/10204/7456 ER - en_ZA


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