This study evaluates rainfall estimates from the Next Generation Weather Radar (NEXRAD), operational rain gauges, Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) in the context as inputs to a calibrated, distributed hy...

Soil erosion and sedimentation processes can be considered as serious eco-environmentalproblems. This study aimed to estimate the basin-wide erosion using the Revised UniversalSoil Loss Equation (RUSLE). The soil erosion parameters included rainfall erosivity mapgenerated from the rainfall data, soil erodibility extracted from the soil map, land cover andmanagement map produced from supervised ...

A semi-distributed watershed model was developed that conceptualizes the catchment as a cascade of nonlinear storage elements whose geometric dimensions are derived from the Horton±Strahler ordering of the stream network. Each storage element represents quick storm runo€ over land or in a channel segment. The physically based groundwater submodel is parameterized through the application of the ...

The characteristics of rainfall-runoff relations were hypothesized for the study area using existing infonnation. These hypotheses were incorporated into the Hydrologic Simulation Program-FURmAN, and the rrodel was calibrated concurrently at 21 strearn-gage sites in the study area. The simulation e=ors after rrodel calibration were not large enough to reject the hypothesized characteristics. A ...

The rainfall seasonality index is the measure of precipitation distribution throughout the seasonal cycle. The aim of this study is to compare the effect of different multi-model averaging methods on the rainfall seasonality index at each 1/16 latitude-longitude cells covering the Columbia River Basin. In accordance with the same, ten different climate model outputs are selected from 45 availab...

The support vector machine is used as a data mining technique to extract informative hydrologic data on the basis of a strong relationship between error tolerance and the number of support vectors. Hydrologic data of flash flood events in the Lan-Yang River basin in Taiwan were used for the case study. Various percentages (from 50% to 10%) of hydrologic data, including those for flood stage and...

Evapotranspiration (ET) is a vital component in land-atmosphere interactions. In drylands, over 90% of annual rainfall evaporates. The Nile Basin in Africa is about 42% dryland in a region experiencing rapid population growth and development. The relationship of ET with climate, vegetation and land cover in the basin during 2002–2011 is analyzed using thermal-based Simplified Surface Energy Bal...

This study uses a stochastic ensemble-based representation of satellite rainfall error to predict the propagation in flood simulation of three quasi-global-scale satellite rainfall products across a range of basin scales. The study is conducted on the Tar-Pamlico River basin in the southeastern United States based on 2 years of data (2004 and 2006). The NWSMultisensor Precipitation Estimator (M...