9783659495151 - DHR Modelling of Cycles in Rainfall and Riverflow across Ghana de Ampadu, Boateng; Chapple, Nick A.; Tych, Wlodek (8 resultados)

Condición: New. pp. 116.

Taschenbuch. Condición: 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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: 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.

Condición: New. Print on Demand pp. 116 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: 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.

Condición: New. PRINT ON DEMAND pp. 116.

Taschenbuch. Condición: 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 economyVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Condición: 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.