The study proposes a new approach that combined statistical downscaling, bias correction, and disaggregation of rainfall techniques in order to derive the IDF curve from large scale atmospheric reanalysis data. applied methodology details NCEP/NCAR dataset being downscaled by an ANN-based estimate daily Izmir. annual maximum series area were sampled series. rainfalls then bias-corrected quantil...

Given the importance of soil moisture for hydrological applications, including weather and flood forecasting, the Soil Moisture and Ocean Salinity (SMOS) mission was launched by the European Space Agency in 2009. This first-ever dedicated global soil moisture mapping mission has a target accuracy of 0.04 v/v. The passive microwave remote sensing approach has been adopted for this mission due to...

The present study attempts to introduce a method of statistical downscaling with a synoptic view. The precipitation data of Golestan Province has been used for the years 1971 to 2010. Employing multivariable regression, this study models the precipitation gauges in the station scale, by making use of 26 predicting components of model HadCM3, on the basis of two A2 and B2 scenarios. However, the...

Downscaling is necessary to generate high-resolution observation data validate the climate model forecast or monitor rainfall at micro-regional level operationally. Available observations generated by automated weather stations meteorological observatories are often limited in spatial resolution resulting misrepresentation absence of information these levels. Dynamical and statistical downscali...

Background: There are some convincing shreds of evidence indicating that memory can direct attention. The local efficiency of an area in the brain, as a quantitative feature in a complex network, indicates how the surrounding nodes can transfer the information when a specific node is omitted. This feature is a scale for measuring efficient integration of information in the brain. Objectives:...

there is an increasing demand for reliable large-scale soil datato meet the requirements of models for planning of land-usesystems, characterization of soil pollution, and prediction ofland degradation. cation exchangecapacity (cec) is among the most important soil propertiesthat are required in soil databases. this paper applied a novel method for whole-soil profile predictions of cec (to 1 m)...