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Estimation and propagation of parametric uncertainty in environmental models
Estimation propagation parametric uncertainty environmental models
2009/12/4
It is proposed that a numerical environmental model cannot be justified for predictive tasks without an implicit uncertainty analysis which uses reliable and transparent methods. Various methods of un...
The parametric approach to watershed modeling is shown to lie between
the stochastic and deterministic approaches. Essentially, the parametric
approach attempts to find functional relationships betw...
A DETERMINISTIC PARAMETRIC WATER-BALANCE MODEL
DETERMINISTIC PARAMETRIC WATER-BALANCE MODEL
2009/10/29
A simple deterministic model, that needs little input-data, is derived. It is
based on an analysis of the recession curve, where new considerations are
introduced. Input data consist ol time-series ...
This article focuses on rain as input data to problems related to urban storm
drainage. The rain data originate from a monitoring program consisting of 56
gauges in Denmark. The gauges have observat...
AQUIFER VULNERABILITY ASSESSMENT：IMPROVEMENT OF THE NEW PARAMETRIC MODEL W.A.T.ER.
parametric model aquifer pollution
2009/10/13
An improvement is proposed for the W.A.T.ER. model, a parametric model for the assessment of aquifer vulnerability to pollution developed within the National Group for Hydrogeological Hazard Preventio...
On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modeling
soil surface roughness PolSAR data hydrological modeling
2009/4/28
The potential of multi parametric polarimetric SAR (PolSAR) data for soil surface roughness estimation is investigated and its potential for hydrological modeling is evaluated. The study utilizes mic...
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-...
A non-parametric hidden Markov model for climate state identification
Hidden Markov models non-parametric two-state model
2009/3/12
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assump...