Sentence examples for model for hydrological from inspiring English sources

We use the Variable Infiltration Capacity model for hydrological simulations after validation.

The development of model for hydrological data is driven by the pattern that one obtains through fitting of various equations into an orderly arrangement of data.

The ability of the model in simulation of complex hydrological processes with GIS interface has created priorities for it in using relevant lump model for hydrological components simulation (Akbari 2010).

This study explores the performance of soil moisture data from the global European Centre for Medium Range Weather Forecasts (ECMWF) ERA interim reanalysis datasets using the Weather Research and Forecasting (WRF) mesoscale numerical weather model coupled with the Noah Land surface model for hydrological applications.

This paper discusses these sources of errors and, in particular, explores the errors and advantages of bias correcting climate model outputs for hydrological models using a single large catchment as an example (the Rhine).

The present study focuses on the impact of assigning weights to climate models for hydrological climate change studies.

These findings support the use of simple disaggregation approaches to make usage of past daily precipitation observations or daily precipitation simulations (e.g. from climate models) for hydrological modeling at an hourly time step.

For long term projections under the most pessimistic emission gas scenarios, the limits of transferability are generally not respected, which may hamper the use of conceptual models for hydrological projections in northern Tunisia.

To this end, a joint bias correction (JBC) method which corrects the joint distribution of two variables as a whole is compared with an independent bias correction (IBC) method; this is considered in terms of correcting simulations of precipitation and temperature from 26 climate models for hydrological modeling over 12 watersheds located in various climate regimes.

A wide variety of global SA methods have been introduced to provide a more efficient evaluation framework for hydrological modeling.

GIS has supported hydrologist and hydraulic engineers with the ideal computing platform for data inventory, mapping, parameter extraction, visualization, surface modeling and interface development for hydrological modeling, thus enormously facilitating the design, calibration and implementation of several hydrologic and hydraulic models (Lanza et al. 1997; Su and Troch 2003).