What is it about?
This work analyses and simulates various thunderstorm indices responsible for the creation of a thunderstorm. The case study is a thunderstorm event over Dhaka (Bangladesh). The work is done using WRF-ARW model which is a software package run on Linux. This work also verifies whether it is reasonably accurate to predict a thunderstorm even using this model.
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Why is it important?
Thunderstorms are violent weather phenomena that can wreak havoc over a region and cause disastrous effect on people's lives ans properties. That's why it is very important to analyse various features of thunderstorms so that their occurrence can be predicted in time to alert the people which can reduce adverse effects of this hazard significantly. Bangladesh is one of the few places in the world where thunderstorm is very common. In recent times, loss of lives due to lighting in Bangladesh due to lightning has increased alarmingly. So it is very important for Bangladesh to take necessary steps for forecasting thunderstorm event using weather forecasting models such as WRF-ARW. This work is such an attempt.
Perspectives
In Bangladesh, most people do not rely on weather forecasts and tend to ignore them saying that weather forecasting is not reliable. When I work on this article, I found why that is the case. Weather forecasting is not a piece of cake. There are so many interrelated variables and facts that governs a weather phenomenon that it needs gigantic computational tools, robust theoretical knowledge and numerous practical experiments to tract down and forecast any event. Hopefully, Bangladesh is now looking into these matters seriously and so the forecasting reliability will improve to a great extent in near future.
Md. Mijanur Rahman
University of Dhaka
Read the Original
This page is a summary of: Simulation of Thermodynamic Features of a Thunderstorm Event over Dhaka using WRF-ARW Model, GANIT Journal of Bangladesh Mathematical Society, February 2018, Bangladesh Journals Online (BanglaJOL),
DOI: 10.3329/ganit.v37i0.35732.
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