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Iith Sets Up Research Unit For Rain Prediction | Hyderabad News
HYDERABAD: A Raindrop Research Facility (RRF) to better predict rain was inaugurated at the Indian Institute of Technology, Hyderabad (IITH), on Friday.
“This raindrop facility is one of its kind. It will help in understanding the processes involved in the formation of raindrops and its impact on environment,” said V K Saraswat, Niti Aayog member, who inaugurated it.
IITH director BS Murty said this facility would provide a lot of information on weather, adding: “It is not only going to be useful for our country, but also for the whole world in predicting rainfall with much better precision.”
Explaining the uniqueness of the Raindrop Research Facility , Kirti Sahu, lead RRF researcher and professor, department of chemical engineering, said, “One of the key limitations in rainfall modelling is the lack of fundamental knowledge of the microphysical processes in the actual atmospheric conditions. Using the novel experimental facility developed at IITH, we can mimic the dynamic atmospheric conditions from cloud to ground and estimate the shape and size distributions of raindrops at various altitudes.”
He added, “We use cutting-edge machine learning-based digital in-line holography technology to predict the raindrop size distribution. This methodology is a far better choice than other measurement methods now in use.”
“This raindrop facility is one of its kind. It will help in understanding the processes involved in the formation of raindrops and its impact on environment,” said V K Saraswat, Niti Aayog member, who inaugurated it.
IITH director BS Murty said this facility would provide a lot of information on weather, adding: “It is not only going to be useful for our country, but also for the whole world in predicting rainfall with much better precision.”
Explaining the uniqueness of the Raindrop Research Facility , Kirti Sahu, lead RRF researcher and professor, department of chemical engineering, said, “One of the key limitations in rainfall modelling is the lack of fundamental knowledge of the microphysical processes in the actual atmospheric conditions. Using the novel experimental facility developed at IITH, we can mimic the dynamic atmospheric conditions from cloud to ground and estimate the shape and size distributions of raindrops at various altitudes.”
He added, “We use cutting-edge machine learning-based digital in-line holography technology to predict the raindrop size distribution. This methodology is a far better choice than other measurement methods now in use.”
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