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Limitations – emulation. Suitability for models. Must be deterministic. If stochastic then noise must be approximately Gaussian distributed with constant variance (nugget). Some models can’t be emulated. Discontinuous response, huge input / output space. No support for spatial models.

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limitations emulation
Limitations – emulation
  • Suitability for models.
    • Must be deterministic.
      • If stochastic then noise must be approximately Gaussian distributed with constant variance (nugget).
    • Some models can’t be emulated.
      • Discontinuous response, huge input / output space.
    • No support for spatial models.
  • Input variable type support.
    • Currently only continuous.
    • Integeris possible but not implemented.
    • Discrete/categorical support is possible but requires changes to emulation code.
limitations web application
Limitations – Web application
  • Requires your model to be exposed on the Web.
    • Only using a supported interface!
  • Data encoding support.
    • The models we’ve been using only have double input and output values.
    • Challenges with complex data types such as O&M.
limitations web application1
Limitations – Web application
  • Web service interface support.
    • Not all of the WPS specification is supported.
    • Only some SOAP/WSDL services are compatible.
      • Includes all processes exposed using the UncertWeb Processing Service framework.
  • Conditional input specifications.
    • Cannot specify a design where input X1 > X2, for example.
summary
Summary
  • Performing sensitivity analysis can help to understand your model / workflow.
  • Building emulators can greatly speed up multiple model runs required for sensitivity and uncertainty analysis.
  • We have built open source tools to make this possible in the Model Web.
    • Source code: http://github.com/itszootime

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° [248488].

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