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A method for evaluating the importance of system state observations to model predictions, with application to the Death Valley regional groundwater flow system

Dates

Year
2004

Citation

Tiedeman, Claire R, Ely, D Matthew, Hill, Mary C, and O'Brien, Grady M, 2004, A method for evaluating the importance of system state observations to model predictions, with application to the Death Valley regional groundwater flow system: Water Resources Research, v. 40, iss. 12.

Summary

We develop a new observation-prediction (OPR) statistic for evaluating the importance of system state observations to model predictions. The OPR statistic measures the change in prediction uncertainty produced when an observation is added to or removed from an existing monitoring network, and it can be used to guide refinement and enhancement of the network. Prediction uncertainty is approximated using a first-order second-moment method. We apply the OPR statistic to a model of the Death Valley regional groundwater flow system (DVRFS) to evaluate the importance of existing and potential hydraulic head observations to predicted advective transport paths in the saturated zone underlying Yucca Mountain and underground testing areas on [...]

Contacts

Communities

  • USGS National Research Program

Tags

Provenance

Added to ScienceBase on Fri Apr 19 10:54:09 MDT 2013 by processing file <b>Modeling and uncertainty of complex ground-water systems.xml</b> in item <a href="https://www.sciencebase.gov/catalog/item/504216b8e4b04b508bfd3357">https://www.sciencebase.gov/catalog/item/504216b8e4b04b508bfd3357</a>

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1029/2004WR003313

Citation Extension

journalWater Resources Research
parts
typeVolume
value40
typeIssue
value12
citationTypeJournal Article

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