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Improving Forecasts with Machine Learning (IMFORMAL)

Implementing Organization

IIT Delhi, Hauz Khas
Principal Investigator
PI: Dr. Krishna Achuta Rao
IIT Delhi, Hauz Khas, New Delhi
akrishna@cas.iitd.ac.in
CO-Principal Investigator
Prof. Somnath Baidya Roy
IIT Delhi Hauz Khas, New Delhi-110016
Centre for Atmospheric Sciences
kodamana@chemical.iitd.ac.in,kodamana@ualberta.ca drsbr@iitd.ac.in,sandeep.sukumaran@cas.iitd.ac.in
CO-Principal Investigator
Prof. Sandeep Sukumaran
IIT Delhi Hauz Khas, New Delhi-110016
CAS
kodamana@chemical.iitd.ac.in,kodamana@ualberta.ca drsbr@iitd.ac.in,sandeep.sukumaran@cas.iitd.ac.in
CO-Principal Investigator
Prof. Hariprasad Kodamana
IIT Delhi Hauz Khas, New Delhi-110016
Department of Chemical Engineering
kodamana@chemical.iitd.ac.in,kodamana@ualberta.ca drsbr@iitd.ac.in,sandeep.sukumaran@cas.iitd.ac.in

Project Overview

The main objective of the project is to demonstrate the usefulness of AI/ML techniques in improving model forecasts at time and space scales, which are then applied to few selected area such as extremes, renewable energy and landslides. The application of AI/ML techniques has seen explosive growth in recent years including inimproving forecasts from physics based models. While many international forecasting centres (ECMWF& UK MetOffice) have made substantial investments in the use of AI/ML, the same is not the case with the modeling centres in India. This project proposes using state-of-the-art deep learning algorithms to improve and add value to the forecasts from existing models run by the MoES modeling centres.Additionally, a new generation of manpower versatile in both atmospheric and data sciences will be trained.
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
₹ 84.17 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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