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Indian monsoon: The challenges of accurately predicting the deadly thundershowers
It is just the inherent complexity of the tropical systems like that over India that hold us behind in weather prediction.

Mumbai rains. PTI[/caption]The recommended steps for disaster preparedness during monsoons have been well documented by scores of studies over decades. "The simplest thing is to start with permeable pavements, rain gardens, water harvesting structures etc. Then comes recovering the upstream damping natural structures like forests and abandoned hydrological structures which used to help navigate the water into oceans and so on," veteran climate scientist Raghu Murtugudde from University of Maryland told Firstpost.But one factor that both the IMD official and Murtugudde stressed on for reducing the number of deaths due to floods, is better prediction of the rains. However, as we find out below, it is easier said than done.Why aren't we better at predicting the weather?You may complain about the "unreliability" of weather prediction as a layperson, Murtugudde says, but a scientist is concerned with its "uncertainty". The following is based on the rest of his explanation:Tropical systems, such as that over India, have something called convection where the heating of the land and the ocean creates certain instabilities in the atmosphere. Those instabilities are typically released into rains depending on how much moisture is available in the air. And when the rains then pour, these systems can grow very fast in a matter of hours.If you consider the European weather or the North American weather, where the systems are some thousand kilometres big and they linger around for over a week or more, the weather forecast there is very reliable, for up to 10 days ahead.Whereas in the tropics, where the systems are fast changing, the complex numerical models pose a big challenge for our scientists."We have the best models, the best computers, the best observation system, best instruments, best satellites and so on. But even after combining them, you can end up with a certain uncertainty," Murtugudde quips.On the large scale weather you may see an instability coming up, but if it doesn't build or builds a couple of hundred kilometres away from the expected location, "you are looking at your weather forecasts and saying this is just not reliable".Essentially, it is just the inherent complexity of the tropical systems that hold us behind in weather prediction.But are we getting better at weather prediction?Short answer: Yes."If you look at the Mumbai flood from 2005 — the number of people who died and the damage that happened — and you look at the 2017 flood, you will notice that the second instance was forecast five to seven days in advance. It was slightly off by a day or so, but it was forecast much better than what we managed in 2005," Murtugudde says.[caption id="attachment_4192905" align="alignnone" width="1280"]
Chennai rains. Reuters[/caption]And it is not just in Mumbai; even though the floods have now become much more widespread because of climate change and despite an increase in population, he says the mortality due to floods has been steadily decreasing over the years."Weather systems grow very fast. We know what the equations that govern the system are and we are solving them, but the moisture dynamics and micro-physics involved in weather prediction happen at a molecular scale. We cannot really capture them right now, but that doesn't mean we won't be there in a few years."How many years till we have reliable and hyper-local weather prediction? About five years, according to Murtugudde.First Published:Jun 27, 2018, 18:49:06 IST
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