Research papers published in/submitted to international peer-reviewed journals

6) Srujan, K. S. S. S., S. Sandeep, and H. Kodamana (2024) LPS Neural Operator (LPSNO): A Novel Deep Learning Framework to Predict the Indian Monsoon Low-Pressure Systems, JGR: Machine Learning and Computation (under revision)

5) Srujan, K. S. S. S., and S. Sandeep (2024) Clustering of low-pressure systems during the active phase of Indian summer monsoon in climate models, Climate Dynamics, https://doi.org/10.1007/s00382-024-07146-w

4) Srujan, K. S. S. S., S. Sandeep, E. Suhas, and H. Kodamana (2022) A Dynamical Linkage Between Western North Pacific Tropical Cyclones and Indian Monsoon Low-Pressure Systems, Geophysical Research Letters, doi: 10.1029/2022GL098597

3) Nair, Aravind, K. S. S. S. Srujan, S. Kulkarni, K. Alwadhi, N. Jain, H. Kodamana, S. Sandeep, and V. O. John (2021) A Deep Learning Framework for the Detection of Tropical Cyclones from Satellite Images, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2021.3131638

2) Srujan, K. S. S. S., S. Sandeep, and E. Suhas (2021) Downstream and in-situ genesis of monsoon low-pressure systems in climate models, Earth and Space Science, doi: 10.1029/2021EA001741

1) Sinha, A., M. Gupta, K. S. S. S. Srujan, H. Kodamana, and S. Sandeep (2021) Prediction of synoptic-scale sea level pressure over the Indian monsoon region using deep learning, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2021.3100899

International conferences/workshops:

1) Presented paper (Virtually) at American Geophysical Union (AGU) fall meeting 2022. 

2) Submitted abstract to European Geosciences Union (EGU) general assembly 2023 to be held in Vienna, Austria. 

3) Presented paper (Virtually) at American Geophysical Union (AGU) fall meeting 2023.