Model Evaluation for Seasonal Forecasting over Southern Africa: Model Evaluation for Seasonal Forecasting - Couverture souple

Browne, Nana Ama Kum ; Abiodun, Babatunde Joseph ; Hewitson, Bruce

9783848405992: Model Evaluation for Seasonal Forecasting over Southern Africa: Model Evaluation for Seasonal Forecasting

Couverture souple

ISBN 10 : 3848405997 ISBN 13 : 9783848405992

Editeur : LAP LAMBERT Academic Publishing, 2012

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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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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3848405997
ISBN 13: 9783848405992
Reliure: Broch�
Nombre de pages: 124
Coordonn�es du fabricant: non disponible
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Model Evaluation for Seasonal Forecasting over Southern Africa

Nana Ama Kum Browne

Edit� par LAP LAMBERT Academic Publishing Feb 2012, 2012

ISBN 10 : 3848405997 ISBN 13 : 9783848405992

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783848405992

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Model Evaluation for Seasonal Forecasting over Southern Africa

Nana Ama Kum Browne|Babatunde Joseph Abiodun|Bruce Hewitson

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3848405997 ISBN 13 : 9783848405992

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Etat : 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. N� de r�f. du vendeur 5519901

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Model Evaluation for Seasonal Forecasting over Southern Africa

Nana Ama Kum Browne

Edit� par LAP LAMBERT Academic Publishing Feb 2012, 2012

ISBN 10 : 3848405997 ISBN 13 : 9783848405992

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Taschenbuch. Etat : 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 Landstra�e 99, 66123 Saarbr�cken 124 pp. Englisch. N� de r�f. du vendeur 9783848405992

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Model Evaluation for Seasonal Forecasting over Southern Africa : Model Evaluation for Seasonal Forecasting

Nana Ama Kum Browne

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3848405997 ISBN 13 : 9783848405992

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783848405992

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