This paper presents a fuzzy inference model for predicting rainfall using scan data from the USDA Soil Climate Analysis Network Station at Alabama Agricultural and Mechanical University (AAMU) campus for the year 2004. The model further reflects how an expert would perceive weather conditions and apply this knowledge before inferring a rainfall. Fuzzy variables were selected based on judging pa...

Many recent studies have been devoted to the investigation of the nonlinear dynamics of rainfall or streamflow series based on methods of dynamical systems theory. Although finding evidence for the existence of a low-dimensional deterministic component in rainfall or streamflow is of much interest, not much attention has been given to the nonlinear dependencies of the two and especially on how ...

The objectives of this study were to understand the rainfall characteristics of thewind-water erosion crisscross region on the northern Loess Plateau, China, to provide basisfor the studies on mitigation of soil erosion, estimation on surface water resources andlocal hydrological circle, etc. The Liudaogou Catchment with representative climatic andhydrologic conditions of wind-water erosion cri...

The paper addresses the role of the conceptual rainfall-runoff modelling approach in hydrology on a scientific and technological context. From this analysis, suggestions for modelling and further research in this field are proposed. K E Y W O R D S : model development; model use; conceptual rainfall-runoff modelling; epistemology; hydrology.

Rainfall and evapotranspiration are the two most popular climatic factors which have crucial function on agricultural production. Rainfall can be directly measured easily in an area but evapotranspiration is estimated from weather data. In this study reference evapotranspiration ETo was estimated using Penman–Monteith equation. Monthly rainfall and evapotarnspiration were plotted and compared i...

Rainfall forecasting is an important research topic in disaster prevention and reduction. The characteristic of rainfall involves a rather complex systematic dynamics under the influence of different meteorological factors, including linear and nonlinear pattern. Recently, many approaches to improve forecasting accuracy have been introduced. Artificial neural network (ANN), which performs a non...

Using time series of Normalized Difference Vegetation Index (NDVI) and rainfall data, we investigated historical vegetation productivity trends from 1982 to 2011 over the Bani River Basin in Mali. Statistical agreements between long-term trends in vegetation productivty, corresponding rainfall and rate of land cover change from Landsat time-series imagery was used to discern climate versus huma...

There is a need for more skilful medium-term rainfall forecasts for the Bowen Basin, a key coal-mining region in Queensland, Australia. Prolonged heavy rainfall during the 2010–2011 summer was not forecasted and it severely affected industry operations. Official forecasts are currently based on general circulation models (GCMs) and indicate there will be change in the timing and strength of the...

Despite advances over the last two decades in the capacity to predict the evolution of the El Niño–southern oscillation (ENSO) phenomenon and advances in understanding of the relationship between ENSO and climate, there has been little use of climate predictions for water resources management in the tropics. As part of an effort to develop such a prediction scheme, the ENSO influences on stream...

In this study, the authors compare six different rainfall datasets for South America with a focus on their representation of extreme rainfall during the monsoon season (December–February): the gauge-calibrated TRMM 3B42 V7 satellite product; the near-real-time TRMM 3B42 V7 RT, the GPCP 18 daily (1DD) V1.2 satellite–gauge combination product, the Interim ECMWF Re-Analysis (ERA-Interim) product; ...