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The document discusses the challenges of predicting heavy rainfall in northeastern Bangladesh during the monsoon season, analyzing rainfall variability and trends from 1980-2014. It utilizes daily rainfall data from Srimangal and Sylhet, employing Principal Components Regression and a meso-scale non-hydrostatic model for long and short-range predictions. The study highlights the importance of monsoon rainfall for agriculture and the socio-economic stability of the region, providing insights into rainfall pa

Author

Saima Sadia

Language

EN