Earth, Atmosphere & Environment Sciences
Title : | Interactive Machine Learning from Observations and Model Output for an Improved Prediction and comprehending Teleconnection of the Indian summer monsoon |
Area of research : | Earth, Atmosphere & Environment Sciences |
Focus area : | Atmospheric Science |
Principal Investigator : | PI: Dr. Arindam Chakraborty IISC, Bangalore, Karnataka, Karnataka : |
Timeline Start Year : | 2023 |
Details
Executive Summary : | This project aims at improving prediction of lndian summer monsoon rainfall (ISMR) by simultaneous use of observations and dynamical model output through machine leaming (ML). The project intends to develop an improved ML algorithm for prediction of ISMR. This atgorithm could be applied to model predictions for better understanding the lacuna in the models in terms of monsoon driving teleconnections. Development of a new ML model for prediction of ISMR is expected to be acheived. |
Co-PI: | Prof. Pabitra Mitra, Computer Science and Engineering, Indian Institute of Technology Kharagpur, West Bengal 721302, Prof. Ambedkar Dukkipati, Computer Science and Automation, Indian Institute of Science Bengaluru 560012 |
Total Budget (INR): | 34,03,840 |
Organizations involved