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The EBFS is built of three components: an input ensemble forecaster (IEF), which simulates the uncertainty associated with random inputs; a deterministic hydrologic model (of any complexity), which simulates physical processes within a river basin; and a hydrologic uncertainty processor (HUP), which simulates the hydrologic uncertainty (an aggregate of all uncertainties except input).
This residue-level sieving is also accompanied by iterative elimination of the poorly fitting structures from the input ensemble.
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Kuhn, A., Aertsen, A. & Rotter, S. Higher-order statistics of input ensembles and the response of simple model neurons.
The G2G model has used as input an ensemble from the UK Climate Projections (UKCP09) Regional Climate Model (RCM), under the A1B emissions scenario, to analyse changes in flood frequency between two 30-year time-slices (October 1960 September 1990 and October 2069 September 2099).
While logistic and MaxEnt models were similar in their predictive ability and dominant input variables, the ensemble approach derived the best fitting model overall.
In this paper, we propose a method to quantify the effect of uncertainty in the inflow boundary conditions using input from an ensemble of mesoscale simulations.
Slamming pressures are predicted using a nonlinear ship motion program whose input is an ensemble of short wave trains tailored to produce a large, linear pitch response.
Radiation data that are the most correlated with FeO content in steelmaking slag are selected and use as input variables for ensemble of Artificial Neural Networks (ANN).
This system was analyzed by using a wave approach in references [1 4], where expressions for time harmonic coupling and input powers, their ensemble averages and the coupling loss factor were derived.
To improve the forecast, data can be input into the ensemble to update (correct) it.
Each of these re-refined structures was used as the input structure for ensemble refinement, using the same run-time parameters.
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