The study assesses the impact of climate change on surface water using an ensemble of five global climate models (GCMs)– regional climate models (RCMs) and two hydrological simulation models (HBV-light and GR4J) in the Dano catchment (Burkina Faso). The exploited GCM-RCM ensemble comes from the Coordinated Regional Climate Downscaling Experiment (CORDEX-Africa) project and the dataset was not bias corrected. The two hydrological models were successfully calibrated and validated (NSE > 0.7) and good agreements between simulated and observed discharges were observed for both models. Compared to the reference period (1976-2005), the projected temperature consistently shows an increase for the future periods 2021-2050 and 2071-2100. As for the projected precipitation change signal, the trend is mixed for the GCM-RCM ensemble for the same future periods. The combined trends (increasing temperature and mixed precipitation signal) yielded projected surface water changes very similar to the projected precipitation change signal, i.e. increasing and decreasing discharge for the GCM-RCM ensemble.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The study assesses the impact of climate change on surface water using an ensemble of five global climate models (GCMs)- regional climate models (RCMs) and two hydrological simulation models (HBV-light and GR4J) in the Dano catchment (Burkina Faso). The exploited GCM-RCM ensemble comes from the Coordinated Regional Climate Downscaling Experiment (CORDEX-Africa) project and the dataset was not bias corrected. The two hydrological models were successfully calibrated and validated (NSE 0.7) and good agreements between simulated and observed discharges were observed for both models. Compared to the reference period (1976-2005), the projected temperature consistently shows an increase for the future periods 2021-2050 and 2071-2100. As for the projected precipitation change signal, the trend is mixed for the GCM-RCM ensemble for the same future periods. The combined trends (increasing temperature and mixed precipitation signal) yielded projected surface water changes very similar to the projected precipitation change signal, i.e. increasing and decreasing discharge for the GCM-RCM ensemble. 88 pp. Englisch. N° de réf. du vendeur 9786200100023
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26400946930
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 395462957
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18400946936
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hisseine GANDA NGAGUEA hydraulic engineer by training, NGAGUE Hisseine GANDA is a Young Professional who is certified as an Expert in sludge management by UNESCO-IHE and 2iE. Since 2014, he has been involved in the cause of water and. N° de réf. du vendeur 301186641
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. N° de réf. du vendeur zk6200100020
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study assesses the impact of climate change on surface water using an ensemble of five global climate models (GCMs)- regional climate models (RCMs) and two hydrological simulation models (HBV-light and GR4J) in the Dano catchment (Burkina Faso). The exploited GCM-RCM ensemble comes from the Coordinated Regional Climate Downscaling Experiment (CORDEX-Africa) project and the dataset was not bias corrected. The two hydrological models were successfully calibrated and validated (NSE 0.7) and good agreements between simulated and observed discharges were observed for both models. Compared to the reference period (1976-2005), the projected temperature consistently shows an increase for the future periods 2021-2050 and 2071-2100. As for the projected precipitation change signal, the trend is mixed for the GCM-RCM ensemble for the same future periods. The combined trends (increasing temperature and mixed precipitation signal) yielded projected surface water changes very similar to the projected precipitation change signal, i.e. increasing and decreasing discharge for the GCM-RCM ensemble. N° de réf. du vendeur 9786200100023
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The study assesses the impact of climate change on surface water using an ensemble of five global climate models (GCMs)- regional climate models (RCMs) and two hydrological simulation models (HBV-light and GR4J) in the Dano catchment (Burkina Faso). The exploited GCM-RCM ensemble comes from the Coordinated Regional Climate Downscaling Experiment (CORDEX-Africa) project and the dataset was not bias corrected. The two hydrological models were successfully calibrated and validated (NSE > 0.7) and good agreements between simulated and observed discharges were observed for both models. Compared to the reference period (1976-2005), the projected temperature consistently shows an increase for the future periods 2021-2050 and 2071-2100. As for the projected precipitation change signal, the trend is mixed for the GCM-RCM ensemble for the same future periods. The combined trends (increasing temperature and mixed precipitation signal) yielded projected surface water changes very similar to the projected precipitation change signal, i.e. increasing and decreasing discharge for the GCM-RCM ensemble.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786200100023
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Hydrological modelling in the climate change context | Ngague Hisseine GANDA | Taschenbuch | 88 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200100023 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 116948346
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