Department of Biochemistry and Biotiotechnology
KNUST
Kumasi, 233
Ghana
Kwame Nkrumah University of Science and Technology, Ghana
Ashanti Region, Extreme rainfall, Flood Events, ETCCDI
Groundwater Recharge, Machine Learning, Artificial Neural Network, Multiple Linear Regression, Random Forest, Densu Basin
Bobiri forest reserve, Remote sensing, Land use/cover, Intensity analysis, land conversion, Ghana.
Flood risk indicators, early warning systems, coastal flooding, climate trends, flood prediction, crises timeline
Predictive Modelling, machine learning, Climate Change, Crop Yield, Climate-Smart Agriculture
MCS, Rainfall extreme, West Africa, Updrafts, Downdrafts, AEWs, LLWS
Annual Total Precipitation, PRCPT, Northern Savannah, SDII, CWD, CDD, ETCCDI, Gridded dataset, Ghana