The Ministry of Earth Sciences wishes to promote research on the application of Artificial Intelligence and Machine Learning (AI/ML) in the field of earth sciences.
The Ministry of Earth Sciences (MoES) is keen to involve scientists/researchers working on AI/ML to develop innovative ideas and strategies to demonstrate innovative solutions for a wide range of problems utilizing the potential of AI/ML. Ministry of Earth Sciences (MoES) invites project proposals from Universities, Research/Academic institutions in the country for funding for focused research work.
MoES invites focused research work in the following areas of the possible application of AI and ML techniques:
- Post-processing of Numerical Weather Prediction (NWP) products
- Monsoon forecasting from sub-seasonal to seasonal time scales
- Urban flooding & Hydro-meteorological applications
- Prediction of extreme events- Heavy Rainfall, Heat Wave, Cold Wave
- Drought Prediction
- Thunderstorm/ lightning prediction/ nowcasting
- Agro-meteorological applications
- Different sectoral applications (power, tourism, health, etc)
- Ocean state forecasts
- Potential Fishing zone advisory applications
- Climate change projections
- Prediction of Fog
- Geosciences and Seismology
- Big data analytics in the model, observed, satellite and reanalysis data
- Any other relevant topic related to Earth System Sciences.
Call for Proposals
- The research proposals with the details of investigators and budget may be submitted to the Ministry of Earth Sciences for further consideration.
- AI/ML applications developed by the supported proposals will be transferred to MoES Institutions for real-time use/applications before the closure of the project.
- Limited computational resources and storage facilities available at MoES will be allocated to the successful proposals.
- Data relevant to the project, if available with MoES institutions, will be provided to the PIs free of cost.
- To submit your proposals online, click here.
- The last date to submit your proposals is June 1, 2020.
For further details, click here.