Dynamic Harmonic Regression (DHR) model of Lancaster University has been used to capture the cycles (seasonal and inter-annual) and trends in rainfall and riverflow across the latitudinal gradient of Ghana. The model explicitly calculates uncertainty in the estimated cycles and trends and thereby ensures that the data are not over-interpreted. Consequently, the model robustly quantifies a range of differences in the rainfall and riverflow regime within-and-between the humid tropical regions of southern Ghana and semi-arid northern Ghana. Some of these regional characteristics propagate through to the riverflow regime, though local climatic phenomena and catchment characteristics can also be seen to impact. These findings have implications for climate simulation studies and for forecasting the incidence of floods and droughts in Ghana, a country so reliant on predictable rainfall and riverflow dynamics for its agricultural economy
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Dynamic Harmonic Regression (DHR) model of Lancaster University has been used to capture the cycles (seasonal and inter-annual) and trends in rainfall and riverflow across the latitudinal gradient of Ghana. The model explicitly calculates uncertainty in the estimated cycles and trends and thereby ensures that the data are not over-interpreted. Consequently, the model robustly quantifies a range of differences in the rainfall and riverflow regime within-and-between the humid tropical regions of southern Ghana and semi-arid northern Ghana. Some of these regional characteristics propagate through to the riverflow regime, though local climatic phenomena and catchment characteristics can also be seen to impact. These findings have implications for climate simulation studies and for forecasting the incidence of floods and droughts in Ghana, a country so reliant on predictable rainfall and riverflow dynamics for its agricultural economy
Dr. Boateng Ampadu is a Hydrologist and a Lecturer at the University for Development Studies in the Department of Earth and Environmental Science, Ghana. He teaches Environmental Modelling, Hydrological Processes, Catchment Hydrology, Environmental Physics among others. His research interest is in rainfall-riverflow modelling.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dynamic Harmonic Regression (DHR) model of Lancaster University has been used to capture the cycles (seasonal and inter-annual) and trends in rainfall and riverflow across the latitudinal gradient of Ghana. The model explicitly calculates uncertainty in the estimated cycles and trends and thereby ensures that the data are not over-interpreted. Consequently, the model robustly quantifies a range of differences in the rainfall and riverflow regime within-and-between the humid tropical regions of southern Ghana and semi-arid northern Ghana. Some of these regional characteristics propagate through to the riverflow regime, though local climatic phenomena and catchment characteristics can also be seen to impact. These findings have implications for climate simulation studies and for forecasting the incidence of floods and droughts in Ghana, a country so reliant on predictable rainfall and riverflow dynamics for its agricultural economy 116 pp. Englisch. N° de réf. du vendeur 9783659495151
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ampadu BoatengDr. Boateng Ampadu is a Hydrologist and a Lecturer at the University for Development Studies in the Department of Earth and Environmental Science, Ghana. He teaches Environmental Modelling, Hydrological Processes, Catch. N° de réf. du vendeur 5159927
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dynamic Harmonic Regression (DHR) model of Lancaster University has been used to capture the cycles (seasonal and inter-annual) and trends in rainfall and riverflow across the latitudinal gradient of Ghana. The model explicitly calculates uncertainty in the estimated cycles and trends and thereby ensures that the data are not over-interpreted. Consequently, the model robustly quantifies a range of differences in the rainfall and riverflow regime within-and-between the humid tropical regions of southern Ghana and semi-arid northern Ghana. Some of these regional characteristics propagate through to the riverflow regime, though local climatic phenomena and catchment characteristics can also be seen to impact. These findings have implications for climate simulation studies and for forecasting the incidence of floods and droughts in Ghana, a country so reliant on predictable rainfall and riverflow dynamics for its agricultural economyBooks on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. N° de réf. du vendeur 9783659495151
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dynamic Harmonic Regression (DHR) model of Lancaster University has been used to capture the cycles (seasonal and inter-annual) and trends in rainfall and riverflow across the latitudinal gradient of Ghana. The model explicitly calculates uncertainty in the estimated cycles and trends and thereby ensures that the data are not over-interpreted. Consequently, the model robustly quantifies a range of differences in the rainfall and riverflow regime within-and-between the humid tropical regions of southern Ghana and semi-arid northern Ghana. Some of these regional characteristics propagate through to the riverflow regime, though local climatic phenomena and catchment characteristics can also be seen to impact. These findings have implications for climate simulation studies and for forecasting the incidence of floods and droughts in Ghana, a country so reliant on predictable rainfall and riverflow dynamics for its agricultural economy. N° de réf. du vendeur 9783659495151
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Taschenbuch. Etat : Neu. DHR Modelling of Cycles in Rainfall and Riverflow across Ghana | Boateng Ampadu (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659495151 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105465384
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