This study contributes to a broader effort of institutions toward improving seasonal forecasts over southern Africa. The primary objective is to understand where global models show shortcomings in their simulations, and how this impacts on their seasonal forecast skill. It is proposed that the skill of a model in simulating natural climate variability is an appropriate metric for a model’s potential skill in seasonal forecasting. Thus the study investigates the performance of two global models in simulating the regional processes in relation to the processes variability, and how this is related to their forecast skill. The study significantly provides more insight into models ability to simulate the general circulation features that modulate rainfall and temperature, and the relationship of rainfall with global SST. This study therefore provides useful information for modellers, forecasters, and climate researchers on the global models used in the study.
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Nana Ama Kum Browne holds a PhD in Climatology. Her research interest is in Climate variability and Climate Change. She is a lecturer at the Department of Physics, University of Cape Coast, Ghana. She is a coordinator of Outreach programs and Education at the Ghana Space Science and Technology Center in Ghana.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study contributes to a broader effort of institutions toward improving seasonal forecasts over southern Africa. The primary objective is to understand where global models show shortcomings in their simulations, and how this impacts on their seasonal forecast skill. It is proposed that the skill of a model in simulating natural climate variability is an appropriate metric for a model s potential skill in seasonal forecasting. Thus the study investigates the performance of two global models in simulating the regional processes in relation to the processes variability, and how this is related to their forecast skill. The study significantly provides more insight into models ability to simulate the general circulation features that modulate rainfall and temperature, and the relationship of rainfall with global SST. This study therefore provides useful information for modellers, forecasters, and climate researchers on the global models used in the study. 124 pp. Englisch. Seller Inventory # 9783848405992
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Browne Nana Ama KumNana Ama Kum Browne holds a PhD in Climatology. Her research interest is in Climate variability and Climate Change. She is a lecturer at the Department of Physics, University of Cape Coast, Ghana. She is a coordina. Seller Inventory # 5519901
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This study contributes to a broader effort of institutions toward improving seasonal forecasts over southern Africa. The primary objective is to understand where global models show shortcomings in their simulations, and how this impacts on their seasonal forecast skill. It is proposed that the skill of a model in simulating natural climate variability is an appropriate metric for a model's potential skill in seasonal forecasting. Thus the study investigates the performance of two global models in simulating the regional processes in relation to the processes variability, and how this is related to their forecast skill. The study significantly provides more insight into models ability to simulate the general circulation features that modulate rainfall and temperature, and the relationship of rainfall with global SST. This study therefore provides useful information for modellers, forecasters, and climate researchers on the global models used in the study.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. Seller Inventory # 9783848405992
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study contributes to a broader effort of institutions toward improving seasonal forecasts over southern Africa. The primary objective is to understand where global models show shortcomings in their simulations, and how this impacts on their seasonal forecast skill. It is proposed that the skill of a model in simulating natural climate variability is an appropriate metric for a model s potential skill in seasonal forecasting. Thus the study investigates the performance of two global models in simulating the regional processes in relation to the processes variability, and how this is related to their forecast skill. The study significantly provides more insight into models ability to simulate the general circulation features that modulate rainfall and temperature, and the relationship of rainfall with global SST. This study therefore provides useful information for modellers, forecasters, and climate researchers on the global models used in the study. Seller Inventory # 9783848405992
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Taschenbuch. Condition: Neu. Model Evaluation for Seasonal Forecasting over Southern Africa | Model Evaluation for Seasonal Forecasting | Nana Ama Kum Browne (u. a.) | Taschenbuch | 124 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848405992 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106625758
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