Time Series & Lookup Tables

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Models Illustrating the Use of Time Series and Lookup Tables

All the models assigned to the selected category are listed below.

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  • Median Function

    Methods to calculate the median of an array or time series are illustrated using Script elements and Function elements.

  • Gauss-Newton Trend Line Fitting

    This model illustrates how to fit a trend line to data using the Gauss-Newton method.

  • Time Shifting a Time Series

    The purpose of this model is to demonstrate time shifting historic data in a Time Series element. This type of model makes it easy to show summary statistics like exceedance probability of annual peak flow rate or mean annual flow rate.

  • Time Series Shifting Options

    This model includes 4 different methods of time shifting to be used in a wider array of applications.

  • Time Series Element Lookup Functions

    This model illustrates how you can reference a Time Series like a lookup function to access future or past values.

  • Post-Process Time History Statistics

    Example model which generates probabilistic time histories and post-processes time history statistics

  • Pre-Processing Time Series Data

    Uses SubModels to pre-process (and plot) historic time series data

  • Lookup Table Import

    This example shows how to import 1D, 2D and 3D Lookup Table data from text and Excel files.

  • Time Series Element Examples

    Examples illustrating basic Time Series element functionality

  • Time Series Analysis

    This model provides an example of calculating statistics for a data time series.

  • Time History Statistics

    This model provides examples of two different methods which can be used to generate statistics for time histories.

  • Scatterplot

    This model plots paired data for equivalent time intervals on the same scatterplot.

  • Probability Mass Function (PMF)

    This model creates a histogram from time series values and uses it to create a PMF of the data.

  • Time Series Data Preprocessing

    In this example, a SubModel is used to calculate average monthly rainfall amounts from a Time Series element containing rainfall rate data

  • Spline Interpolation

    This model implements a spline interpolation method to generate smoothly-varying dependent variable values from a 1-D Lookup Table.

  • Reservoir with Operating Pools

    Operating rules control outflows from a reservoir that contains operating zones divided into surcharge, flood control, conservation, and dead pool zones.

 

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