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

Abstract 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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of water and climate change Vol. 14; no. 2; pp. 494 - 515
Main Authors:	Siabi, Ebenezer K., Phuong, Dang Nguyen Dong, Kabobah, Amos T., Akpoti, Komlavi, Anornu, Geophery, Incoom, Awo Boatemaa Manson, Nyantakyi, Emmanuel Kwesi, Yeboah, Kofi Antwi, Siabi, Sarah Elikplim, Vuu, Christopher, Domfeh, Martin Kyere, Mortey, Eric Mensah, Wemegah, Cosmos Senyo, Kudjoe, Francis, Opoku, Precious Dapaah, Asare, Austin, Mensah, Samuel Kofi, Donkor, Peter, Opoku, Emmanuel K., Ouattara, Zié Adama, Obeng-Ahenkora, Nana Kwame, Adusu, Daniel, Quansah, Andrew
Format:	Journal Article
Language:	English
Published:	IWA Publishing 01-02-2023
Subjects:	black volta basin climate change gcms impact assessment innovative-sen trend analysis sdsm
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Abstract 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.
ISSN:	2040-2244 2408-9354
DOI:	10.2166/wcc.2023.352