Research Society has launched 6 scientific research projects to investigate impact of climate change and natural disasters over Bangladesh.
Please visit our research team:
1. Uddin, M. J., Nasrin, Z. M., & Li, Y. (2021). Effects of vertical wind shear and storm motion on tropical cyclone rainfall asymmetries over the North Indian Ocean. Dynamics of Atmospheres and Oceans, 93(December 2020), 101196. https://doi.org/10.1016/j.dynatmoce.2020.101196
2. Uddin, M. J., Li, Y., Sattar, M. A., Nasrin, Z. M., & Lu, C. (2022). Effects of learning rates and optimization algorithms on forecasting accuracy of hourly typhoon rainfall: experiments with convolutional neural network. Earth and Space Science. https://doi.org/10.1029/2021ea002168
3. Uddin, M. J., Li, Y., Tamim, M. Y., Miah, M. B., & Ahmed, S. M. S. (2022). Extreme rainfall indices prediction with atmospheric parameters and ocean-atmospheric teleconnections using Random Forest model. Journal of Applied Meteorology and Climatology. https://doi.org/10.1175/jamc-d-21-0170.1
4. Uddin, M. J., Wahiduzzaman, M., Islam, A. R. M. T., Eibek, K. U., & Nasrin, Z. M. (2022). Impacts of climate modes on temperature extremes over Bangladesh using statistical methods. Meteorology and Atmospheric Physics, 134(2). https://doi.org/10.1007/s00703-022-00868-8
5. Uddin, M.J., Li, Y., Sattar, M.A. and Mistry, S. (2022), Climatic water balance forecasting with machine learning and deep learning models over Bangladesh. Int J Climatol. Accepted Author Manuscript. https://doi.org/10.1002/joc.7885
6. Uddin, M. J., Li, Y., Sattar, M. A., Liu, M., & Yang, N. (2022). An improved cluster-wise typhoon rainfall forecasting model based on machine learning and deep learning models over the Northwestern Pacific Ocean. Journal of Geophysical Research: Atmospheres, 127, e2022JD036603. https://doi.org/10.1029/2022JD036603