Calibration of rainfall-runoff model parameters is an inseparable part of hydrological simulations. To achieve more accurate results of these simulations, it is necessary to implement an efficient calibration method that provides sufficient refinement of the model parameters in a reasonable time frame. In order to perform the calibration repeatedly for large amount of data and provide results of calibrated model simulations for the flood warning process in a short time, the method also has to be automated. In this paper, several local and global optimization methods are tested for their efficiency. The main goal is to identify the most accurate method for the calibration process that provides accurate results in an operational time frame (t...
Process-oriented rainfall-runoff models are designed to approximate the complex hydrologic processes...
Common problems faced by rainfall-runoff modellers are data limitation, model overparameterization a...
ABSTRACT This work couples an optimization technique to a precipitation-flow model, for the purpose,...
With the aim of calibrating a large number of catchments for a semi-distributed, process-based conce...
In this paper we address the problem of parameter identification and parameter uncertainty estimatio...
Conceptual rainfall runoff (CRR) models are popular among hydrologists owing to their modest input d...
One of the fundamental issues of hydrology is determination of total runoff volume from rainfall. Th...
SummaryAn intercomparison of different approaches for the construction and calibration of lumped con...
A conceptual lumped rainfall-runoff flood event model was developed and applied on the Gardon catchm...
For the analysis of climate impact on flood flows and flood frequency in macroscale river basins, hy...
Derived flood frequency analysis allows the estimation of design floods with hydrological modeling f...
An approach is described to the calibration of a conceptual rainfall-runoff model, the Probability D...
Modelling the rainfall-runoff task is a challenging task, especially if flood forecasting in small c...
One of the tools which are currently being used in flood frequency analysis (FFA) is rainfall-runoff...
Floods are the response of a catchment area to severe rainfall events. Each catchment will have its ...
Process-oriented rainfall-runoff models are designed to approximate the complex hydrologic processes...
Common problems faced by rainfall-runoff modellers are data limitation, model overparameterization a...
ABSTRACT This work couples an optimization technique to a precipitation-flow model, for the purpose,...
With the aim of calibrating a large number of catchments for a semi-distributed, process-based conce...
In this paper we address the problem of parameter identification and parameter uncertainty estimatio...
Conceptual rainfall runoff (CRR) models are popular among hydrologists owing to their modest input d...
One of the fundamental issues of hydrology is determination of total runoff volume from rainfall. Th...
SummaryAn intercomparison of different approaches for the construction and calibration of lumped con...
A conceptual lumped rainfall-runoff flood event model was developed and applied on the Gardon catchm...
For the analysis of climate impact on flood flows and flood frequency in macroscale river basins, hy...
Derived flood frequency analysis allows the estimation of design floods with hydrological modeling f...
An approach is described to the calibration of a conceptual rainfall-runoff model, the Probability D...
Modelling the rainfall-runoff task is a challenging task, especially if flood forecasting in small c...
One of the tools which are currently being used in flood frequency analysis (FFA) is rainfall-runoff...
Floods are the response of a catchment area to severe rainfall events. Each catchment will have its ...
Process-oriented rainfall-runoff models are designed to approximate the complex hydrologic processes...
Common problems faced by rainfall-runoff modellers are data limitation, model overparameterization a...
ABSTRACT This work couples an optimization technique to a precipitation-flow model, for the purpose,...