MUMBAI, India, Aug. 22 -- Intellectual Property India has published a patent application (202421010646 A) filed by Indian Institute Of Technology, Indore, Madhya Pradesh, on Feb. 15, 2024, for 'method and system for determining spatiotemporal characteristics and predicting the state of atmospheric rivers (ar).'
Inventor(s) include Manish Kumar Goyal; and Dr. Shivam Singh.
The application for the patent was published on Aug. 22, under issue no. 34/2025.
According to the abstract released by the Intellectual Property India: "Method and system for determining spatiotemporal characteristics and predicting the state of Atmospheric Rivers (AR) The present invention relates to a method and system for determining spatiotemporal characteristics and predicting the state of Atmospheric Rivers (AR). The invention provides an innovative approach to predict the spatiotemporal characteristics of atmospheric rivers employing data-driven Machine Learning models. The method of the present invention enables the tracking and prediction of atmospheric rivers easier than conventional approaches (training complex numerical weather prediction models). Since the proposed method is data-driven, hence it can be employed in any region of the world independent of the local and global topography and climatology. Unlike to numerical weather prediction models, when trained for longer spatiotemporal variability, the prediction efficiency of Convolutional DL models increases."
Disclaimer: Curated by HT Syndication.
