Accurate rainfall forecasting is critical because it has a great impact on people’s social and economic activities. Recent trends on various literatures shows that Deep Learning (Neural Network) is a promising methodology to tackle many challenging tasks. In this study, we introduce a brand-new data-driven precipitation prediction model called DeepRain. This model predicts the amount of rainfal...

Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall prediction. Recently, several data-driven modeling approaches have been investigated to perform such forecasting tasks as multilayer perceptron neural networks (MLP-NN). In fact, ...

0022-1694/$ see front matter Crown Copyright 2 http://dx.doi.org/10.1016/j.jhydrol.2013.02.046 ⇑ Corresponding author. Tel.: +61 293855140; fax: E-mail addresses: [email protected] (R. edu.au (A. Sharma), [email protected] (D. Nage iisc.ernet.in (T.V. Reshmidevi). Impact of global warming on daily rainfall is examined using atmospheric variables from five General Circulation Mod...

The use of Quantitative Precipitation Forecasts (QPFs) enables to improve the real-time control of urban drainage systems by extending the time available to prevent critical situations such as flooding or sewer overflow [1-5]. Often, these are caused by rainfall events developing within a short period of time, and therefore, short term rainfall forecasts with lead time less than 3 hours are mos...

This paper concerns the measurement and prediction of rainfall noise with a particular focus on measurements made using method described in ISO standard. Rainfall is generated by rain impacting surface which excites producing noise. Here, several different models for force produced water droplet flat inclined are presented. These designed nominal intense heavy raindrops standard validated again...

The application of artificial neural network (ANN) methodology for modelling daily flows during monsoon flood events for a large size catchment of the Narmada River in Madhya Pradesh (India) is presented. The spatial variation of rainfall is accounted for by subdividing the catchment and treating the average rainfall of each subcatchment as a parallel and separate lumped input to the model. A l...