introduction the main perspective in seasonal prediction of precipitation is presentation of a qualitative prediction for upcoming seasons. the information gained from such predictions can be used for decision making in various disciplines such as agriculture, water management and hydropower production. besides, it can help us reduce the adverse effects of climatic changes like drought and floo...

the purpose of this research was to study and predict fuel consumption rate of tractor due to different aspect ratios of chisel plow blade and to determine a general relationship equation between aspect ratio ( ) and fuel consumption rate.  an itm-399 (81 kw) tractor and a mounted-type chisel plow with 9 shanks were used. the 5 and 10 cm width chisel blades were used. the experiments were condu...

â â â  in this study, ability and skill of the nesting version of the regcm3 regional climate model in simulation of monthly and seasonal amount of precipitation and temperature using four different cumulus parameterization of grell-as, grell-fc, emanuel and kuo have been studied over khorasan area including three provinces of north khorasan, khorasan razavi and south khorasan. in this regards,...

This paper presents a novel framework for HMM-based automatic phonetic segmentation that improves the accuracy of placing phone boundaries. In the framework, both training and segmentation approaches are proposed according to the minimum boundary error (MBE) criterion, which tries to minimize the expected boundary errors over a set of possible phonetic alignments. This framework is inspired by ...

This paper presents a relative humidity predictions using feedforward artificial neural network (FFNN). Relative humidity values obtained from weather records for Malaysia are used in training the FFNNs. The prediction of the relative humidity is in terms of Sun shine ration and cloud cover. However, three statistical parameters, namely, mean absolute percentage error, MAPE, mean bias error, MB...

Simulated stable oxygen isotopic composition (δ18O) of precipitation from isotope-enabled GCMs (iGCMs) have gained significant visibility nowadays. This study evaluates bias correction techniques to reduce the systematic and dispersion biases modelled δ18O by ECHAM5-wiso model compared Global Network Isotopes in Precipitation (GNIP) observations over Central Europe. mean error (MBE) Root Mean S...

Spatial cross-validation and average-error statistics are examined with respect to their abilities to evaluate alternate spatial interpolation methods. A simple crossvalidation methodology is described, and the relative abilities of three, dimensioned error statistics—the root-mean-square error (RMSE), the mean absolute error (MAE), and the mean bias error (MBE)—to describe average interpolator...

Saturated hydraulic conductivity of Soil is an important property in processes involving water and solute flow in soils. Saturated hydraulic conductivity of soil is difficult to measure and can be highly variable, requiring a large number of replicate samples. In this study, 60 sets of soil samples were collected at Saqhez region of Kurdistan province-IRAN. The statistics such as Correlation Co...

Article history: Available online 18 February 2014