precipitation is considered as one of the most important factures in water cycle. prediction of monthly precipitation is important for many purposes such as estimating torrent, drought, run-off, sediment, irrigation programming and also management of drainage basins.in this study we studied and evaluated gene expression programming to predict the precipitation of the kakareza river (in lorestan...

Multiple linear regression models (pest-weather models) were developed between monthly mean brown planthopper (BPH), Nilaparvata lugens light trap catches and monthly mean values of minimum temperature (Tmin), maximum temperature (Tmax), morning relative humidity (RH 1 ) and evening relative humidity (RH 2 ) observed at Maruteru, Andhra Pradesh during 2000-2007 kharif seasons. Comparison betwee...

since many time series are not normal, it is required to normalize data by transformation functions prior to any analysis and modeling. in this study, the next month rainfall of abadeh county station was predicted using the average monthly rainfall, minimum and maximum temperatures and minimum and maximum humidity as inputs of mlp network, both normally and raw, at period 1976 to 2013. after sc...

High mountain ecosystems are among the most sensitive environments to changes in climatic conditions occurring on global, regional and local scales. The article describes the changing conditions observed over recent years in the high mountain basin of the Claro River, on the west flank of the Colombian Andean Central mountain range. Local ground truth data gathered at 4150 m, regional data avai...

Pan evaporative changes are one of the key components water resources management a river basin under changing climate and anthropogenic-induced warming. The present study was undertaken for transboundary Godavari River (India) to identify trends in pan evaporation (Epan) by non-parametric Mann–Kendall (MK) test annual, seasonal monthly time scales. Pettitt test, also used this detect abrupt mea...

A comparison of two statistical downscaling methods for daily maximum and minimum surface air temperature, total daily precipitation and total monthly precipitation at Indianapolis, IN, USA, is presented. The analysis is conducted for two seasons, the growing season and the non-growing season, defined based on variability of surface air temperature. The predictors used in the downscaling are in...