collaborators

5 papers

physics.ao-ph2026

A Deep Learning Earth System Model Simulation of Indian Monsoon Intraseasonal and Interannual Variability

Bijit Kumar Banerjee, Devabrat Sharma, R. I. Sujith +6

With the data-driven artificial intelligence/machine learning (AI/ML) models having demonstrated their ability to extend the prediction horizon of large-scale weather at a fraction…

physics.ao-ph2026

Why is Seasonal Climate Predictable Beyond the Limit of Deterministic Predictability set by Chaos?

Vladimir García-Morales, Devabrat Sharma, Shruti Tandon +2

The Earth's climate is an ensemble of interacting, spatially extended oscillatory media ('climate systems') whose slow-changing averages coexist with chaotic, high-frequency weathe…

physics.ao-ph2026

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…

physics.ao-ph2026

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…

physics.ao-ph2026

Sub-seasonal Modulation and Predictability of Indian monsoon hourly Rainfall Extremes

Bijit Kumar Banerjee, Devabrat Sharma, Mahen Konwar +3

Hourly rainfall extremes cause some of the most destructive weather disasters, yet numerical weather prediction models still struggle to forecast them, and a physical basis for the…