Interactive Machine Learning from Observations and Model Output for an Improved Prediction and comprehending Teleconnection of the Indian summer monsoon

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Implementing Organization

Indian Institute of Technology (IIT), Kharagpur

Principal Investigator

PI: Dr. Arindam Chakraborty IISC

Bangalore, Karnataka, Karnataka :

arch@iisc.ac.in

CO-Principal Investigator

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

ambedkar@iisc.ac.in,pabitra@cse.iitkgp.ac.in,pabitra@gmail.com

Project Overview

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.

Related Research

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Funding Organization

Ministry of Earth Sciences (MoES)

Quick Information

Area of Research

Earth, Atmosphere & Environment Sciences

Focus Area

Atmospheric Science

Start Date

2023

Status

ongoing

arch@iisc.ac.in

Output

No. of Research Paper

Technologies (If Any)

No. of PhD Produced

Publications

No. of Patents

Filed : 00

Grant : 00

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Research Projects