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Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity
soil hydraulic parameters performance two hydrological models different complexity
2010/2/20
Data of soil hydraulic properties forms often a limiting factor in unsaturated zone modelling, especially at the larger scales. Investigations for the hydraulic characterization of soils are time-cons...
Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity
Uncertainty determination soil hydraulic parameters performance hydrological models
2010/3/5
Data of soil hydraulic properties forms often a limiting factor in unsaturated zone modelling, especially at the larger scales. Investigations for the hydraulic characterization of soils are time-cons...
The Combination of Simulated Discharges of Hydrological Models
Combination Simulated Discharges Hydrological Models
2009/10/27
Hydrological models are frequently used to simulate streamflow. A method for
improving performance is to combine the simulated discharges of two or more
models. Three different methods are given in ...
Spring Characteristics and Hydrological Models of Catchments
Spring Characteristics Hydrological Models Catchments
2009/10/27
The Astdalen catchment (373 km2) represents largely a natural ecosystem,
typical for the higher central and southern parts of the Scandinavian Peninsula.
It is underlain by fractured sedimentary roc...
HESS Opinions “Crash tests for a standardized evaluation of hydrological models”
catchments hydrological models
2009/10/10
As all hydrological models are intrinsically limited hypotheses on the behaviour of catchments, models – which attempt to represent real-world behaviour – will always remain imperfect. To make progre...
A novel approach to parameter uncertainty analysis of hydrological models using neural networks
hydrological models neural networks Artificial Neural Network
2009/7/22
In this study, a methodology has been developed to emulate a time consuming Monte Carlo (MC) simulation by using an Artificial Neural Network (ANN) for the assessment of model parametric uncertainty. ...
Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum-Himalaya region
regional climate Hindukush-Karakorum-Himalaya region hydrological models
2009/7/22
The most important climatological inputs required for the calibration and validation of hydrological models are temperature and precipitation that can be derived from observational records or alternat...
Analysing the temporal dynamics of model performance for hydrological models
temporal dynamics self-organizing maps hydrological models
2009/7/22
The temporal dynamics of hydrological model performance gives insights into errors that cannot be obtained from global performance measures assigning a single number to the fit of a simulated time ser...
Coupling meteorological and hydrological models for flood forecasting
flood forecasting meteorological hydrological models
2009/5/18
This paper deals with the problem of analysing the coupling of meteorological meso-scale quantitative precipitation forecasts with distributed rainfall-runoff models to extend the forecasting horizon....
Precipitation forecasts and their uncertainty as input into hydrological models
rainstorms European Centre for Medium-Range Weather Forecasts
2009/5/18
Torrential streams and fast runoff are characteristic of most Slovenian rivers and extensive damage is caused almost every year by rainstorms affecting different regions of Slovenia. Rainfall-runoff m...
Parameterizing redistribution and sublimation of blowing snow for hydrological models: tests in a mountainous subarctic catchment
blowing snow snow transport sublimation parameterization hydrological model complex terrain
2014/4/3
Model tests of blowing snow redistribution and sublimation by wind were performed for three winters over a small mountainous
sub-Arctic catchment located in the Yukon Territory, Canada, using a physi...
Analysis of aggregation and disaggregation effects for grid-based hydrological models and the development of improved precipitation disaggregation procedures for GCMs
GCMs hydrological
2009/3/25
Appropriate representation of hydrological processes within atmospheric General Circulation Models (GCMs) is important with respect to internal model dynamics (e.g. surface feedback effects on atmosph...
A framework for development and application of hydrological models
hydrological modelling multi-objective calibration
2009/3/23
Many existing hydrological modelling procedures do not make best use of available information, resulting in non-minimal uncertainties in model structure and parameters, and a lack of detailed informat...
Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models
real-time flood forecasting precipitation prediction
2009/3/17
Time-series analysis techniques for improving the real-time flood forecasts issued by a deterministic lumped rainfall-runoff model are presented. Such techniques are applied for forecasting the short-...
Recession-based hydrological models for estimating low flows in ungauged catchments in the Himalayas
Himalaya recession curve water resources
2009/3/6
The Himalayan region of Nepal and northern India experiences hydrological extremes from monsoonal floods during July to September, when most of the annual precipitation falls, to periods of very low f...