CSDMS 2014 annual meeting poster Mary Hill: Difference between revisions
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Latest revision as of 11:12, 21 April 2014
Exploring how parameter importance to prediction changes in parameter space
Olda Rakovec, UFZ Liepzig , Germany. oldrich.rakovec@ufz.de
Martyn Clark, NCAR Boulder Colorado, United States. mclark@ucar.edu
Abstract:
This talk presents a novel hybrid local-global method that measures how model parameter importance is distributed as parameter values change. DELSA (Distributed Evaluation of Local Sensitivity Analysis) is demonstrated using rainfall-runoff models constricted using FUSE, and results are compared to the Sobol’ global sensitivity analysis method. Insights from DELSA can be combined with field data to identify the most relevant parts of parameter space to focus data collection and model development.
Much of what will be discussed is described in:
Rakovec, O., M. C. Hill, M. P. Clark, A. H. Weerts, A. J. Teuling, and R. Uijlenhoet (2014), Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models, Water Resources Research, 50, doi:10.1002/2013WR014063.
Comparing Sobol' to the less computationally demanding DELSA method.
* Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know and we will respond as soon as possible.
