Given that precipitation is a major component of the earth's water and energy cycles, reliable information on the monthly spatial distribution of precipitation is also crucial for climate science, climatological water-resource research studies, and for the evaluation of regional model simulations. In this paper, four satellite derived precipitation datasets: Climate Prediction Center MORPHING (CMORPH), Tropical Rainfall Measuring Mission (TRMM), the Precipitation Estimation Algorithm from Remotely-Sensed Information using an Artificial Neural Network (PERSIANN), and the global Satellite Mapping of Precipitation (GSMaP) are spatially analyzed and compared with the observed precipitation data provided by Bangladesh Meteorological Department (BMD). For this study, the different precipitations data sets are spatially analyzed from 2 nd May 2019 to 4 th May 2019 at the time of Cyclone "FANI". It is found that the satellite derived precipitation datasets are reasonably matched with the observed but slightly different.
Recurvature in tropical cyclones is not very uncommon, but rare. There are instances of recurved tropical cyclones forming over the Bay of Bengal. Some of them have hit the coastal regions of Bangladesh. In this research, the climatology and synoptic conditions of such events have been assessed. It has been found that 25 recurved tropical cyclones have hit Bangladesh throughout the period from 1891 to 2019. Most of them have occurred during the post-monsoon season. Again, there have been more cases of recurvature in tropical cyclones that hit the southwest coastal region of Bangladesh than the southeast. Although there are some differences between the direction and speed for the two coasts, but there are not much differences between them for their vector or scalar speeds. In addition, further assessment of the wind speeds and the intensities of tropical cyclones have revealed some interesting findings. The analyses of synoptic conditions for the recurved tropical cyclones have also obtained some important results. All these results and findings will aid in better forecasting of recurved tropical cyclones in the future. The Dhaka University Journal of Earth and Environmental Sciences, Centennial Special Volume June 2022: 131-141
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