S. (2011): Prediction of monthly rainfall in Chennai using back propagation neural network model, Int. J. Eng. Sci. Tech., 3,211-213.G.R. Geetha, S. Selvaraj, Prediction of monthly rainfall in Chennai using back propagation neural network model, Interna- tional Journal of Engineering ...
2a–d). However, Chennai showed a negative (−6%) regression slope between rainfall extremes and daily mean T850, which can be attributed to the seasonal difference in the occurrence of rainfall extremes. For instance, in the southern peninsula, rainfall occurs during the winter (November to ...
The Thamirabarani river basin (TRB) in Tamil Nadu, India, is increasingly vulnerable to flooding, especially during the northeast monsoon. The present study identifies flood risk zones in the TRB using decadal average rainfall (2000–2023), annual average rainfall for 2023, and rainfall trends at...
Rainfall PredictionIndia's socio-economic growth is adversely affected by severe flood and droughts in the meteorological phenomena. Therefore, rainfall forecasting is extremely needed for agriculture and to the society for survival. There are many methods and techniques with weather parameters we...
This study attempts to investigate the real-time prediction of a heavy rainfall event over the Chennai Metropolitan City, Tamil Nadu, India that occurred on 01 December 2015 using Advanced Research Weather Research and Forecasting (WRF-ARW) model. The study evaluates the impact of six microphysical...
Rainfall PredictionIndia's socio-economic growth is adversely affected by severe flood and droughts in the meteorological phenomena. Therefore, rainfall forecasting is extremely needed for agriculture and to the society for survival. There are many methods and techniques with weather parameters were ...
The maximum daily rainfall data for 30 years (1967-1996) of Ootacamund, Nilgiris, recorded by India Meteorological Department were collected from the Directorate of Statistics, Chennai. Two programs were developed in BASIC for Lognormal and Gumbel distributions. The theoretical values so obtained ...
The PBL physics strongly influenced the rainfall prediction by changing the location of upper air circulation, energy transport, moisture convergence and intensity of convection in the schemes YSU, MYJ and MYNN. All the simulations underestimated the first spell of the heavy rainfall. While YSU and...
Role of high-resolution modeling system in prediction of heavy rainfall events over Tamil Nadu and Kerala on different global/regional datasetsdoi:10.1007/s40808-024-01979-4Heavy rainfallHorizontal resolutionChennai and KeralaSimulationWRFThe present study explored the numerical studies on forecast ...
Heavy rainfall events become significant in human affairs when they are combined with hydrological elements. The problem of forecasting heavy precipitation is especially difficult since it involves making a quantitative precipitation forecast, a problem well recognized as challenging. Chennai (13.04掳N and...