Present Research

Dr. Isaac Mugume is presently studying the following projects for his Post-Doctorate studies:

  1. Novel Computational Methods for Improved Detection of Changes in Weather. This project is funded by the BRIGHT/SIDA project and is analyzing the potential of using microwave signals to monitor and predict weather.

  2. The Implications of the 1.5-2.0 Degree Celsius to the Climate and Water Nexus over the Nile Basin. This project is funded by WaSo/NORHED project and is analyzing the implications of this temperature target to precipitation and water over the Nile Basin.

Dr. Isaac Mugume has published the following articles in scientific peer reviewed journals:

    1. Tao, S., Li, Y. & Mugume, I. (2019). Model Terrain Correction Using Variational Adjoint Method with Tikhonov-total Variational Regularization. Journal of Physics: Conference Series, 1176, 1-11.

    2. Nyakaisiki, K., Mugume, I., Ngailo, T. & Nakabugo, R. (2019). The Use of Indigenous Knowledge in Predicting Changes in Seasonal Rainfall by Smallholder Farmers of Ruteete Subcounty, Kabarole District. Journal of Geoscience and Environment Protection, 7(1), 13-22, DOI: 10.4236/gep.2019.71002.

    3. Mugume, I., Mesquita, D.S.M., Bamutaze, Y., Ntwali, D., Basalirwa, C., Waiswa, D., Reuder, J., Twinomuhangi, R., Tumwine, F., Ngailo, J. T. & Ogwang, B. A. (2018). Improving Quantitative Rainfall Prediction Using Ensemble Analogues in the Tropics: Case Study of Uganda. Atmosphere, 9, 1-17. doi:10.3390/atmos9040000

    4. Mugume, I., Basalirwa, C., Waiswa, D., Nsabagwa, M., Ngailo, T., Reuder, J., Ulrich, S., Semujju, M. (2018). A Comparative Analysis of the Performance of COSMO and WRF Models in Quantitative Rainfall Prediction. International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 12(2), 130 - 138.

    5. Nsabagwa, M., Mugume, I., Kasumba, R., Muhumuza, J., Byarugaba, S., Tumwesigye, E., & Otim, J. S. (2018, May). Condition Monitoring and Reporting Framework for Wireless Sensor Network-based Automatic Weather Stations. In 2018 IST-Africa Week Conference (IST-Africa) (pp. Page-1). IEEE.

    6. Ngailo, J.T., Nyimvua, S., Reuder, J., Mesquita, D.S.M., Rutalebwa, E., Mugume, I., Sangalungembe, C. (2018). Assessing Weather Research and Forecasting (WRF) Model Parameterization Schemes Skill to Simulate Extreme Rainfall Events over Dar es Salaam on 21 December 2011, Journal of Geoscience and Environment Protection, 6, 36-54

    7. Mugume, I., Basalirwa, C., Waiswa, D., & Ngailo, T. (2017). Spatial Variation of WRF Model Rainfall Prediction over Uganda. World Academy of Science, Engineering and Technology, International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 11(7), 615-619.

    8. Mugume et al. (2017). Assessing the Performance of WRF Model in Simulating Rainfall over Western Uganda. Journal of Climatology and weather forecasting, 5(1), 1-9.

    9. Tao, S., Shen, S., Li, Y., Wang, Q., Gao, P., & Mugume, I. (2016). Projected crop production under regional climate change using scenario data and modeling: Sensitivity to chosen sowing date and cultivar. Sustainability, 8(3), 214

    10. Mugume, I., Mesquita, M. D., Basalirwa, C., Bamutaze, Y., Reuder, J., Nimusiima, A., ... & Jacob Ngailo, T. (2016). Patterns of dekadal rainfall variation over a selected region in lake victoria basin, uganda. Atmosphere, 7(11), 150.

    11. Mugume, I., Basalirwa, C., Waiswa, D., Reuder, J., Mesquita, M. D. S., Tao, S., & Ngailo, T. J. (2016). Comparison of parametric and nonparametric methods for analyzing the bias of a numerical model. Modelling and Simulation in Engineering, 2016, 6

    12. Ngailo, T., Shaban, N., Reuder, J., Rutalebwa, E., & Mugume, I. (2016). Non homogeneous Poisson process modelling of seasonal extreme rainfall events in tanzania. International Journal of Science and Research (IJSR), 5(10), 1858-1868.

    13. Mugume, I., Shen, S., Tao, S., & Mujuni, G. (2016). Analysis of temperature variability over desert and urban areas of Northern China. J. Climatol. Weather Forecast, 4, 1-9.