Dr. Sam-Quarcoo Dotse is a Senior Lecturer at the Department of Sustainable Energy and Resources, University of Environment and Sustainable Development, Ghana. He holds a Ph.D. in Systems Engineering from the University of Brunei Darussalam, Brunei, an M.Phil. and B.Sc. degrees in Physics, respectively from the University of Ghana, Legon and the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Over the past 12 years, he has been involved in teaching, research, and outreach activities in the area of Atmospheric and Environmental Physics. His expertise lies within the interactions among atmospheric pollution, meteorology, and climate change; as well as modelling and forecasting of air pollutants concentrations and meteorological variables, field measurements, source apportionment, trends analysis and emission inventories of atmospheric pollutants. Currently, his research activities are in the field of energy meteorology, and the climate system influence on energy and water resources, making use of satellite data, in situ observational data, and computational modelling. In addition to using numerical modelling methods, he is focused on the application of the state-of-the-art machine learning (ML) techniques to help address various problems associated with air quality, weather and climate predictions. The aim is to enhance the predictive understanding of the atmospheric models and also, to improve the accuracy and speed of numerical model forecasts that are constrained by atmospheric physical and chemical processes, through the application of advanced ML techniques. The overall goal of his research activities is to contribute to information that leads to improved air quality, and reduce climate system impacts on energy and water resources.
1. Atmospheric modelling
2. Numerical Weather Prediction
3. Renewable Energy
4. Climate change and extremes
5. Artificial Intelligence
Larbi, I., Hountondji, F. C., Dotse, S. Q., Mama, D., Nyamekye, C., Adeyeri, O. E., … & Asare, Y. M. (2021). Local climate change projections and impact on the surface hydrology in the Vea catchment, West Africa. Hydrology Research.
Dotse, S-Q., Dagar, L., Petra, M. I., & De Silva, L. C. (2018). Application of Computational Intelligence techniques to forecast daily PM10 exceedances in Brunei Darussalam. Atmospheric Pollution Research 9 (2), 358-368
Dotse, S-Q., Dagar, L., Petra, M. I., & De Silva, L. C. (2016). Influence of Southeast Asian Haze episodes on high PM10 concentrations across Brunei Darussalam. Environmental Pollution, 219, 337-352.
Dotse, S-Q., Dagar, L., Petra, M. I., & De Silva, L. C. (2016). Evaluation of national emissions inventories of anthropogenic air pollutants for Brunei Darussalam. Atmospheric Environment, 133, 81-92.