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Enhanced Precision in Rainfall Forecasting for Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution
April 2, 2024, 7:42 p.m. | Ajay Devda, Akshay Sunil, Murthy R, B Deepthi
cs.LG updates on arXiv.org arxiv.org
Abstract: Forecasting rainfall in tropical areas is challenging due to complex atmospheric behaviour, elevated humidity levels, and the common presence of convective rain events. In the Indian context, the difficulty is further exacerbated because of the monsoon intra seasonal oscillations, which introduce significant variability in rainfall patterns over short periods. Earlier investigations into rainfall prediction leveraged numerical weather prediction methods, along with statistical and deep learning approaches. This study introduces deep learning spatial model aimed at …
abstract arxiv context cs.lg events forecasting indian mumbai physics precision rain rainfall resolution spatial temporal type
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