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[PDF] Top 20 An educational model for ensemble streamflow simulation and uncertainty analysis

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An educational model for ensemble streamflow simulation and uncertainty analysis

An educational model for ensemble streamflow simulation and uncertainty analysis

... and model cali- ...conceptual model, especially useful for teaching hy- drological modeling and uncertainty ...The model includes different functionalities such as automatic calibra- tion and ... See full document

8

Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

... on model calibration, which sometimes resulted in parameterization schemes that are inconsistent with physi- cal understanding of the region’s hydrology (Steenhuis et ...siderable uncertainty into ... See full document

18

An integrated uncertainty and ensemble based data assimilation approach for improved operational streamflow predictions

An integrated uncertainty and ensemble based data assimilation approach for improved operational streamflow predictions

... of uncertainty analysis methods and data assimilation techniques have been developed and reported in the hydrologic ...the uncertainty analysis methods, among many others, include the ... See full document

17

Ensemble projections of future streamflow droughts in Europe

Ensemble projections of future streamflow droughts in Europe

... in streamflow drought in Europe accounting for the major drivers of possible changes in the temporal and spatial availability of ...in-depth analysis of the robustness and significance of the projected ... See full document

24

GloFAS – global ensemble streamflow forecasting and flood early warning

GloFAS – global ensemble streamflow forecasting and flood early warning

... semble streamflow predictions (ESPs) were evaluated against discharge proxy simulations for the same period, taken from the simulated discharge climatology obtained using ERA- Interim/Land runoff as ...of ... See full document

15

Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation

Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation

... predictive uncertainty in model states, parameters and fluxes (DeChant and Moradkhani, 2011a, b; Matgen et ...and model states and the linear updating of model states (Moradkhani et ...the ... See full document

12

Streamflow data assimilation for soil moisture analysis

Streamflow data assimilation for soil moisture analysis

... Abstract. Streamflow depends on the soil moisture of a river catchment and can be measured with relatively high accu- ...an Ensemble Kalman Filter to assimilate streamflow time series into the ... See full document

12

Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management

Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management

... the optimization methods are not perfect and introduce biases in the decisions. The increases in the relative MW shown in Fig. 7a for the case without MLCs is due to the “determin- istic bias”, i.e. the tendency of ... See full document

16

A past discharge assimilation system for ensemble streamflow forecasts over   France – Part 2: Impact on the ensemble streamflow forecasts

A past discharge assimilation system for ensemble streamflow forecasts over France – Part 2: Impact on the ensemble streamflow forecasts

... of ensemble streamflow forecasts is de- veloping in the international flood forecasting ...semble streamflow forecast systems can provide more accu- rate forecasts and useful information about the ... See full document

15

Using Ensemble Streamflow Predictions for extreme discharge purposes in the river Rhine

Using Ensemble Streamflow Predictions for extreme discharge purposes in the river Rhine

... major uncertainty in the final extreme discharge ...weather ensemble members from 109 year ...weather ensemble members. All weather ensemble members have an equal probability to ... See full document

84

Possible Impacts of Climate Change on Daily Streamflow and Extremes at Local Scale in Ontario, Canada  Part II: Future Projection

Possible Impacts of Climate Change on Daily Streamflow and Extremes at Local Scale in Ontario, Canada Part II: Future Projection

... rainfall simulation models constructed via combination of an automated synoptic weather typing and cumulative logit/nonlinear regression ...lyzing model R 2 s of downscaling transfer functions; 2) ... See full document

14

Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote sensing data

Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote sensing data

... ical model by using only satellite information is a real possi- bility (Silvestro et ...a model using satellite data, even in combination with tradi- tional in situ data, is still a challenging ... See full document

25

Monthly hydrometeorological ensemble prediction of streamflow droughts and corresponding drought indices

Monthly hydrometeorological ensemble prediction of streamflow droughts and corresponding drought indices

... low streamflow events in the long range can be ...low streamflow within the prediction ...the uncertainty of their ...atmospheric model to drive a grid- based hydrological model that ... See full document

13

Regional simulation of streamflow

Regional simulation of streamflow

... Potential applications of the system are considerable, It will be possible to estimate streamflow into the estuarfes; to estimate stream- flow at a point where a sewage treatment plan[r] ... See full document

206

Benchmarking ensemble streamflow prediction skill in the UK

Benchmarking ensemble streamflow prediction skill in the UK

... to streamflow in catchments with highly permeable aquifers in the south east of the UK leads to temporal streamflow dependence for up to a season ahead, and longer (Chiverton et ...hydrological ... See full document

17

Modular programming for tuberculosis control, the “AuTuMN” platform

Modular programming for tuberculosis control, the “AuTuMN” platform

... for simulation of TB control interventions ( “ AuTuMN ” ...dynamic model incorporates optional stratification by age, risk group, strain and organ involvement, while our approach to simulating time-variant ... See full document

12

Assessment of an ensemble seasonal streamflow forecasting system for Australia

Assessment of an ensemble seasonal streamflow forecasting system for Australia

... new streamflow forecasting system called “forecast guided stochastic scenar- ios”, or ...rainfall–runoff model. A hydrological error model is then used to update forecasts, correct biases, and ... See full document

24

Surrogate models for composed simulation models in energy systems

Surrogate models for composed simulation models in energy systems

... The simulation and co-simulation of the power grid has been established as a tool for testing and assessing new technologies and methodologies, as the real power grid as a safety-critical infrastructure is ... See full document

8

An experiment on the evolution of an ensemble of neural networks for streamflow forecasting

An experiment on the evolution of an ensemble of neural networks for streamflow forecasting

... reliable ensemble and probabilistic hydrological forecasting with neural ...an ensemble of MLPs, as it evolves during training, and to assess the reliability of the probabilistic distribution they col- ... See full document

10

Assessment of an ensemble seasonal streamflow forecasting system for Australia

Assessment of an ensemble seasonal streamflow forecasting system for Australia

... of streamflow in very dry seasons, which causes high proportional errors and ...error model, Wapaba’s over- estimation in dry months is caused by isolated ...error model to do less work, making the ... See full document

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