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Decoding monsoon dynamics: machine learning and regime analytics for seasonal rainfall in Hyderabad | Synapse
March 3, 2026
Decoding monsoon dynamics: machine learning and regime analytics for seasonal rainfall in Hyderabad
VG
V. Guhan
AR
A. Dharma Raju
KN
K. Nagaratna
Key Points
Monsoon dynamics significantly impact rainfall patterns, especially in Hyderabad, and can be understood through machine learning techniques.
The analysis identified patterns of seasonal rainfall with high accuracy, enhancing predictive capabilities by 30% in specific months.
Using machine learning and regime analytics, the study investigates complex weather variables influencing monsoon behavior in-depth.
The findings may enable more accurate rainfall predictions, potentially improving preparation for climate-related events in urban areas.
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Guhan et al. (Sat,) studied this question.
synapsesocial.com/papers/69a7612ac6e9836116a2ed60
https://doi.org/https://doi.org/10.1007/s11600-026-01817-4
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