India is an agricultural country and most of economy of India depends upon the agriculture. Rainfall plays an important role in agriculture so early prediction of rainfall plays an important role in the economy of India. Rainfall prediction has been the one of the most challenging issue around the world in last year. Widely used techniques for prediction are Regression analysis, clustering, and...

This paper investigates rainfall-induced landslides on partially saturated soil slopes using the 2011 Umyeonsan landslides at the center of Seoul, Korea. An integrated analysis of rainfall-induced landslide was carried out through laboratory tests, field tests, and numerical analysis. The results of comprehensive investigations in the Umyeonsan region demonstrate that landslide activity is clos...

This study compares the accuracy of the short-term rainfall forecasts obtained with time-series analysis techniques, using past rainfall depths as the only input information. The techniques proposed here are linear stochastic auto-regressive movingaverage (ARMA) models, artificial neural networks (ANN) and the non-parametric nearest-neighbours method. The rainfall forecasts obtained using the c...

This chapter also focusesaddresses on precipitation intensity measurements (in particular rate of rainfall or rainfall intensity) due to their rapidly increased need for the interpretation of rainfall patterns, rainfall event modeling and forecasts, everyday meteorological and engineering applications, the investigation of evolving events at the local to regional scale with potential tremendous...

this study investigates the contributions of atlantic ocean to june-august rainfall over uganda and western kenya (ku). the study has utilized the datasets including precipitation from the global precipitation climatology centre, north atlantic oscillation index (naoi), south atlantic ocean dipole index (saodi), era-interim reanalysis, and the atlantic ocean sea surface temperature (sst). singu...

This paper proposes a method of stormwater inflow prediction using radar rainfall data as the input of the prediction model constructed by system identification. The aim of the proposal is to construct a compact system by reducing the dimension of the input data. In this paper, Principal Component Analysis (PCA), which is widely used as a statistical method for data analysis and compression, is...

Recent analysis of spatial and temporal resolution of rainfall and the advent of small inexpensive rainfall radars has lead to increased use of radar estimated rainfall as input to hydrological models especially in urban areas. Detailed rainfall measurements have indicated a very high spatial variation of up to 100 % of a distance of less that 200 m over a 3 hour rainfall event [Jensen and Pede...

This article presents long-term analyzed climate data from nine weather stations in eastern and southeastern parts of Ethiopia. At the outset of this data process, unrefined meteorological data was obtained from National Meteorological Agency (NMA) of Ethiopia for the analysis. The analyzed data in this article shows patterns of rainfall variability, frequency of drought years, seasonal concent...

This paper presents a novel framework for the complexity analysis of rainfall, runoff, and runoff coefficient (RC) time series using multiscale entropy (MSE). The MSE analysis of RC time series was used to investigate changes in the complexity of rainfallrunoff processes due to human activities. Firstly, a coarse graining process was applied to a time series. The sample entropy was then compute...

Under a weather hazard prevention program in Taiwan, the Vaisala Meteorological Instrument, Inc., of Finland and the Environmental Science and Engineering Corporation of Taiwan jointly developed and installed more than 300 stations of the Automatic Rainfall and Meteorological Telemetry System (ARMTS) over this subtropical island with an area of approximately 30 000 km. The Taiwan ARMTS network ...