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

Implementing Organization

IISC Bangalore, Karnataka, Karnataka, Karnataka & IIT Kharagpur, West Bengal
Principal Investigator
PI: Dr. Arindam Chakraborty IISC
IISC Bangalore, Karnataka, Karnataka, Karnataka & IIT Kharagpur, West Bengal
Bangalore
arch@iisc.ac.in
CO-Principal Investigator
Prof. Pabitra Mitra
Indian Institute of Technology (Kharagpur)
Computer Science and Engineering
ambedkar@iisc.ac.in,pabitra@cse.iitkgp.ac.in,pabitra@gmail.com
CO-Principal Investigator
Prof. Ambedkar Dukkipati
Indian Institute of Science
Computer Science and Automation
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
Funding Organization
Ministry of Earth Sciences (MoES)
Quick Information
Area of Research
Earth, Atmosphere & Environment Sciences
Focus Area
Atmospheric Science
Start Year
2023
Sanction Amount
₹ 34.04 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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