Select one of the options Specify black box model configuration directly in the blackBoxModelConfig format Specify filename of the black box model configuration file. File format: blackBoxModelConfig Identity of the model exchange item Specify one or more model exchange items on which to impose noise defined by this noise model's exchange item (for a single model exchange item, use modelExchangeItemId in the attributes instead of this list) Identity of this noise model's exchange item Identity of model exchange item on which to impose this noise model's exchange item Type of operation to performed when noise is added to an (parameter or state) exchange item: 'add' the noise to the exchange item's values, 'multiply' the exchange item's values with the noise, or 'set' the values (used in those cases where the noise in fact is a realization) Transformation of noise variable. 'identity' means that the value will be added directly without any transformation to the adjusted parameter. 'ln' means that the value is transformed logarithmically before it is added to the parameter; this gives a correction, which is a fraction of the parameter value. The list of relations Specify name of xml file containing configuration of the noise model. File format depends on class. Specify list of input arguments for the noise model The relations between the noise model's Exchange Items and the model's Exchange Items The class name implementing the noise model The noise model's working directory Identity of model's exchange item Identity of noise model's exchange item Transformation of noise variable. 'identity' means that the value will be added directly without any transformation to the adjusted parameter. 'ln' means that the value is transformed logarithmically before it is added to the parameter; this gives a correction, which is a fraction of the parameter value. The standard deviation value The standard deviation value Transformation of correction factor. 'identity' means that the correction will be added directly without any transformation to the adjusted parameter. 'ln' means that the correction is transformed logarithmically before it is added to the parameter; this gives a correction, which is a fraction of the parameter value. Set the standard deviation of this parameter and the method how the parameter should be corrected Select the parameter vector(s) and/or subvector(s) to adjust Select the whole parameter vector Select only a part of the parameter vector Set the scaling factor for this parameter (optional) Specify standard deviation for dx and dy Set the standard deviation of this parameter and the method how the parameter should be corrected Select the sets of parameter vectors to adjust, in pairs of two: amplitude and phase Select whole parameter vector Select only a part of the parameter vector Scaling factor for dx Scaling factor for dy Name suffix for dx in the noise model exchange items Name suffix for dy in the noise model exchange items Name for dx in the noise model exchange items Name for dy in the noise model exchange items Select the way the subvector is derived from the source vector. Derive subvector by specifying indices of source vector. Derive subvector by using a configuration file or string. Set the identity of this subVector. Specify the identity of the source vector as defined in blackBoxModelConfig. Specify name of xml file containing configuration of the noise model. File format depends on class. The relations between the noise model's exchange items and the model's exchange items Specify the identity of the noise model vector. This is required if the noise model contains more than one source vector. If the noise model contains one source vector, it may be omitted. In that case the source vector's id is used. The class that implements the noise model The working directory where the noise model is started Identity of the vector Identity of the source vector as defined in blackBoxModelConfig Select the way the subvector is derived from the source vector Select subvector using indices of the vector elements Define operator for deriving the subvector Identity of the subVector Identity of the source vector as defined in blackBoxModelConfig The uncertainty module that defines and generates the noise correction factor Exchange Items Specify which model parameters to adjust and how Specify which model parameters to adjust and how, under a transformation of the vector representation, from Cartesian (dx,dy) in the stochastic model to Polar (amplitude,phase) in the deterministic model Add a noise model to the state Add a vector to the state Add a subvector to the state Add a vector to the predictor Add a subvector to the predictor Specify the model parameters vectors and the uncertainty/noise module that imposes noise on the model parameters Specify the model state vectors and the noise model that imposes noise on the model state Specify the predictor vectors. i.e. the model variables that correspond to the observer variables Specify the model directory that will contain a set of restart files for a certain time stamp (written when the algorithm requests to store states, read when the algorithm asks to restore a state) Specify the file name prefix for storing the state of the noise model(s) Specify the file name prefix for storing the model state (must end with .zip) Contains the elements in fixed order of occurrence Deterministic model: specify either a black box model or a black box model factory Specify a specific black box model configuration. This can be either by writing directly the model configuration or by referring to a black box model configuration file. Define a model factory. Specify class or executable, arguments to supply and fail/success checks to perform Define stochastic model by specifying the vectors of parameters, state, and/or predictor Restart dir./files information Configuration file for the Stochastic model class org.openda.blackbox.wrapper.BBStochModelFactory. Specifies either the deterministic model in the modelConfig element, or the model instances generator in the modelFactory element, and the stochastic model that acts as umbrella over the deterministic model, in the vectorSpecification element, and an optional restartInfo element for non-default handling of deterministic model restarts. Type of operation to performed when noise is added to an (parameter or state) exchange item: add the noise to the exchange item's values, multiply the exchange item's values with the noise, or set the values (used in those cases where the noise in fact is a realization) Tranformation of correction factor. Two values are possible: 'identity' and 'ln'. The 'identity' means that the correction will be added directly without any transformation to the adjusted parameter. On the other hand, 'ln' means that correction is transformed logarithmically before it is added to the parameter; this gives a correction, which is a fraction of the parameter value.