Surafel Abebe (7 results)

Paperback. Condition: Brand New. 192 pages. 8.66x5.91x0.44 inches. In Stock.

Taschenbuch. Condition: Neu. Modelling Hydrological Impacts of Climate Change Using Bias-Corrected | Surafel Abebe (u. a.) | Taschenbuch | 192 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659950230 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hourly rainfall data were extracted for control period (1971-2000) and future A1B scenario (2036-2065). Climate model bias corrected using quantile mapping method. The method works through matching cumulative density function of observed and climate model data. Mean monthly rainfall has increased in future scenario. Extreme rainfall has also projected to increase. Dry days increase in summer and a decrease in winter season are projected for future scenario. Precipitations were forced into a hydrological model to simulate discharge to examining the impact of bias-correction. Discharge fits well in summer season, and slightly over estimate high flows and under estimate low flows in winter season. Control scenario analyses are reasonable to examine future change in flow regime. An increase in high flow and a decrease in low flow during winter and summer half are projected for future scenario, respectively. Both peak discharge and groundwater is projected to increase. Reduction of low flow in summer season and increment of peak flow in winter season are considered as a signal of climate change impacts that increase drought propagations and flood incidences in the future. 192 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abebe SurafelI got Bachelor in Geography from Alemaya University and M. Sc. in Environmental Science from Addis Ababa University and Environmental Studies from JEMES. I am working as Federal Government Consultant in USA Dipl.-Ing.(F.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Hourly rainfall data were extracted for control period (1971-2000) and future A1B scenario (2036-2065). Climate model bias corrected using quantile mapping method. The method works through matching cumulative density function of observed and climate model data. Mean monthly rainfall has increased in future scenario. Extreme rainfall has also projected to increase. Dry days increase in summer and a decrease in winter season are projected for future scenario. Precipitations were forced into a hydrological model to simulate discharge to examining the impact of bias-correction. Discharge fits well in summer season, and slightly over estimate high flows and under estimate low flows in winter season. Control scenario analyses are reasonable to examine future change in flow regime. An increase in high flow and a decrease in low flow during winter and summer half are projected for future scenario, respectively. Both peak discharge and groundwater is projected to increase. Reduction of low flow in summer season and increment of peak flow in winter season are considered as a signal of climate change impacts that increase drought propagations and flood incidences in the future.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hourly rainfall data were extracted for control period (1971-2000) and future A1B scenario (2036-2065). Climate model bias corrected using quantile mapping method. The method works through matching cumulative density function of observed and climate model data. Mean monthly rainfall has increased in future scenario. Extreme rainfall has also projected to increase. Dry days increase in summer and a decrease in winter season are projected for future scenario. Precipitations were forced into a hydrological model to simulate discharge to examining the impact of bias-correction. Discharge fits well in summer season, and slightly over estimate high flows and under estimate low flows in winter season. Control scenario analyses are reasonable to examine future change in flow regime. An increase in high flow and a decrease in low flow during winter and summer half are projected for future scenario, respectively. Both peak discharge and groundwater is projected to increase. Reduction of low flow in summer season and increment of peak flow in winter season are considered as a signal of climate change impacts that increase drought propagations and flood incidences in the future.