India News | IIT-Bhubaneswar Develops Technology to Predict Rainfall Accurately

Bhubaneswar, Aug 12 (PTI) The IIT-Bhubaneswar claimed to have developed a technology to accurately predict rainfall, particularly in cases of downpours, with an adequate lead time.

The technology was developed by integrating the output from the Weather Research and Forecasting (WRF) model into a deep learning (DL) model, the institute said in a statement on Monday.

Also Read | Bihar Assembly Elections 2025: Poll Strategist Prashant Kishor Planning To Field Woman Candidate in Every Lok Sabha Segment.

The institute has carried out studies using retrospective cases over the complex terrain of Assam (highly vulnerable to severe flooding) during June 2023 and over the state of Odisha where heavy rainfall events are highly dynamic in nature due to the landfall of multiple intense rain-bearing monsoon low-pressure systems.

Between June 13 and 17, 2023, Assam experienced severe flooding due to heavy rainfall.

Also Read | Uttar Pradesh Shocker: Woman Dies by Suicide Over Dowry Harassment and Fights Over 'Habit of Making and Posting Reels on Instagram'.

"The DL model was able to more accurately predict the spatial distribution and intensity of rainfall across at districts scale," it claimed..

The research employed the WRF model to generate initial weather forecasts in real-time, which were then refined using the DL model," it said.

This method allowed for a more detailed analysis of rainfall patterns, incorporating a spatio-attention module to better capture the intricate spatial dependencies in the data.

In Assam, the model displays prediction accuracy that is nearly double that of traditional ensemble models at a district level with a lead time of upto 96 hours, showcasing its remarkable performance, the institute statement said.

(The above story is verified and authored by Press Trust of India (PTI) staff. PTI, India’s premier news agency, employs more than 400 journalists and 500 stringers to cover almost every district and small town in India.. The views appearing in the above post do not reflect the opinions of LatestLY)