Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model

The uncertainties and biases associated with Global Climate Models (GCMs) ascend from global to regional and local scales which delimits the applicability and suitability of GCMs in site-specific impact assessment research. The study downscaled two GCMs to evaluate effects of climate change (CC) in...

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Autores principales: Siabi, E. K., Phuong, D. N. D., Kabobah, A. T., Akpoti, Komlavi, Anornu, G., Incoom, A. B. M., Nyantakyi, E. K., Yeboah, K. A., Siabi, S. E., Vuu, C., Domfeh, M. K., Mortey, E. M., Wemegah, C. S., Kudjoe, F., Opoku, P. D., Asare, A., Mensah, S. K., Donkor, P., Opoku, E. K., Ouattara, Z. A., Obeng-Ahenkora, N. K., Adusu, D., Quansah, A.
Formato: Journal Article
Lenguaje:Inglés
Publicado: IWA Publishing 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/130838
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author Siabi, E. K.
Phuong, D. N. D.
Kabobah, A. T.
Akpoti, Komlavi
Anornu, G.
Incoom, A. B. M.
Nyantakyi, E. K.
Yeboah, K. A.
Siabi, S. E.
Vuu, C.
Domfeh, M. K.
Mortey, E. M.
Wemegah, C. S.
Kudjoe, F.
Opoku, P. D.
Asare, A.
Mensah, S. K.
Donkor, P.
Opoku, E. K.
Ouattara, Z. A.
Obeng-Ahenkora, N. K.
Adusu, D.
Quansah, A.
author_browse Adusu, D.
Akpoti, Komlavi
Anornu, G.
Asare, A.
Domfeh, M. K.
Donkor, P.
Incoom, A. B. M.
Kabobah, A. T.
Kudjoe, F.
Mensah, S. K.
Mortey, E. M.
Nyantakyi, E. K.
Obeng-Ahenkora, N. K.
Opoku, E. K.
Opoku, P. D.
Ouattara, Z. A.
Phuong, D. N. D.
Quansah, A.
Siabi, E. K.
Siabi, S. E.
Vuu, C.
Wemegah, C. S.
Yeboah, K. A.
author_facet Siabi, E. K.
Phuong, D. N. D.
Kabobah, A. T.
Akpoti, Komlavi
Anornu, G.
Incoom, A. B. M.
Nyantakyi, E. K.
Yeboah, K. A.
Siabi, S. E.
Vuu, C.
Domfeh, M. K.
Mortey, E. M.
Wemegah, C. S.
Kudjoe, F.
Opoku, P. D.
Asare, A.
Mensah, S. K.
Donkor, P.
Opoku, E. K.
Ouattara, Z. A.
Obeng-Ahenkora, N. K.
Adusu, D.
Quansah, A.
author_sort Siabi, E. K.
collection Repository of Agricultural Research Outputs (CGSpace)
description The uncertainties and biases associated with Global Climate Models (GCMs) ascend from global to regional and local scales which delimits the applicability and suitability of GCMs in site-specific impact assessment research. The study downscaled two GCMs to evaluate effects of climate change (CC) in the Black Volta Basin (BVB) using Statistical DownScaling Model (SDSM) and 40-year ground station data. The study employed Taylor diagrams, dimensionless, dimensioned, and goodness of fit statistics to evaluate model performance. SDSM produced good performance in downscaling daily precipitation, maximum and minimum temperature in the basin. Future projections of precipitation by HadCM3 and CanESM2 indicated decreasing trend as revealed by the delta statistics and ITA plots. Both models projected near- to far-future increases in temperature and decreases in precipitation by 2.05-23.89, 5.41–46.35, and 5.84–35.33% in the near, mid, and far future respectively. Therefore, BVB is expected to become hotter and drier by 2100. As such, climate actions to combat detrimental effects on the BVB must be revamped since the basin hosts one of the largest hydropower dams in Ghana. The study is expected to support the integration of CC mitigation into local, national, and international policies, and support knowledge and capacity building to meet CC challenges.
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spelling CGSpace1308382025-02-19T13:42:41Z Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model Siabi, E. K. Phuong, D. N. D. Kabobah, A. T. Akpoti, Komlavi Anornu, G. Incoom, A. B. M. Nyantakyi, E. K. Yeboah, K. A. Siabi, S. E. Vuu, C. Domfeh, M. K. Mortey, E. M. Wemegah, C. S. Kudjoe, F. Opoku, P. D. Asare, A. Mensah, S. K. Donkor, P. Opoku, E. K. Ouattara, Z. A. Obeng-Ahenkora, N. K. Adusu, D. Quansah, A. climate change adaptation climate change mitigation climate prediction impact assessment trends climate models river basins precipitation temperature policies sustainable development goals goal 11 sustainable cities and communities goal 13 climate action The uncertainties and biases associated with Global Climate Models (GCMs) ascend from global to regional and local scales which delimits the applicability and suitability of GCMs in site-specific impact assessment research. The study downscaled two GCMs to evaluate effects of climate change (CC) in the Black Volta Basin (BVB) using Statistical DownScaling Model (SDSM) and 40-year ground station data. The study employed Taylor diagrams, dimensionless, dimensioned, and goodness of fit statistics to evaluate model performance. SDSM produced good performance in downscaling daily precipitation, maximum and minimum temperature in the basin. Future projections of precipitation by HadCM3 and CanESM2 indicated decreasing trend as revealed by the delta statistics and ITA plots. Both models projected near- to far-future increases in temperature and decreases in precipitation by 2.05-23.89, 5.41–46.35, and 5.84–35.33% in the near, mid, and far future respectively. Therefore, BVB is expected to become hotter and drier by 2100. As such, climate actions to combat detrimental effects on the BVB must be revamped since the basin hosts one of the largest hydropower dams in Ghana. The study is expected to support the integration of CC mitigation into local, national, and international policies, and support knowledge and capacity building to meet CC challenges. 2023-02-01 2023-06-23T03:12:54Z 2023-06-23T03:12:54Z Journal Article https://hdl.handle.net/10568/130838 en Open Access IWA Publishing Siabi, E. K.; Phuong, D. N. D.; Kabobah, A. T.; Akpoti, Komlavi; Anornu, G.; Incoom, A. B. M.; Nyantakyi, E. K.; Yeboah, K. A.; Siabi, S. E.; Vuu, C.; Domfeh, M. K.; Mortey, E. M.; Wemegah, C. S.; Kudjoe, F.; Opoku, P. D.; Asare, A.; Mensah, S. K.; Donkor, P.; Opoku, E. K.; Ouattara, Z. A.; Obeng-Ahenkora, N. K.; Adusu, D.; Quansah, A. 2023. Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model. Journal of Water and Climate Change, 14(2):494-515. [doi: https://doi.org/10.2166/wcc.2023.352]
spellingShingle climate change adaptation
climate change mitigation
climate prediction
impact assessment
trends
climate models
river basins
precipitation
temperature
policies
sustainable development goals
goal 11 sustainable cities and communities
goal 13 climate action
Siabi, E. K.
Phuong, D. N. D.
Kabobah, A. T.
Akpoti, Komlavi
Anornu, G.
Incoom, A. B. M.
Nyantakyi, E. K.
Yeboah, K. A.
Siabi, S. E.
Vuu, C.
Domfeh, M. K.
Mortey, E. M.
Wemegah, C. S.
Kudjoe, F.
Opoku, P. D.
Asare, A.
Mensah, S. K.
Donkor, P.
Opoku, E. K.
Ouattara, Z. A.
Obeng-Ahenkora, N. K.
Adusu, D.
Quansah, A.
Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model
title Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model
title_full Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model
title_fullStr Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model
title_full_unstemmed Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model
title_short Projections and impact assessment of the local climate change conditions of the Black Volta Basin of Ghana based on the Statistical DownScaling Model
title_sort projections and impact assessment of the local climate change conditions of the black volta basin of ghana based on the statistical downscaling model
topic climate change adaptation
climate change mitigation
climate prediction
impact assessment
trends
climate models
river basins
precipitation
temperature
policies
sustainable development goals
goal 11 sustainable cities and communities
goal 13 climate action
url https://hdl.handle.net/10568/130838
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