7 papers
A Graph Neural Network Framework for Characterizing Rainfall Variability Regimes across India
Pradyumnan Raghuveeran, Gaurav Chopra, Ajay Bankar +1
The Indian Summer Monsoon shows significant spatial variation. While prior work primarily focused on forecasting rainfall amounts, little attention has been given to how consistent…
Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Ajay Bankar, Praveenkumar Venkatesan, Rakesh V +2
Advancements in remote sensing have led to development of several satellite-derived precipitation products; however, their accuracy must be evaluated before use in scientific and o…
Resolving the Paradox of Changing El Niño-Monsoon Relation through Synchronization of Chaotic Oscillators
Devabrat Sharma, Sagar Sedani, Shruti Tandon +3
For over a century, the relationship between Indian summer monsoon rainfall and El Nino-Southern Oscillation has been the foundation of 'long-range' prediction of Indian monsoon. T…
Prediction and Predictability of the Wet-Season Rainfall over Southeast India
Harini S, Devabrat Sharma, Yogenraj Patil +4
The challenge in predicting sub-regional climate within the Indian monsoon region is exacerbated by its increasing variability in a warming world. While exploring the seasonal pred…
A network-theoretic approach for characterizing Mack-mode instability in high-speed boundary layers
Sai Prasad Mohanty, Nikhil Khobragade, Gaurav Chopra +3
Here we present a network theory-based approach to investigate the Mack-mode instability signature found in high-speed schlieren data from a Mach 6 laminar boundary layer flow over…
Climatic Phase Transitions Unravel the Onset and Withdrawal of Indian Monsoon
Yogenraj Patil, Gaurav Chopra, Shruti Tandon +2
The livelihood and food security of more than a billion people depend on the Indian monsoon (IM). Yet, a universal definition of the large-scale season and progress of IM is missin…