Bayesian Approach to Support Design of a Groundwater Long Term Monitoring Plan

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by David E. Dougherty,
Steve Young,
Donna Rizzo,
Trevor Budge,

Document Type: Proceeding Paper

Part of: World Water & Environmental Resources Congress 2003

Abstract: This paper discusses a retrospective data assimilation approach that allows one to examine the spatial and temporal differences between forecast and observed states. Their stability, or lack thereof, becomes a databased quantifiable design parameter.

Subject Headings: Spatial data | Forecasting | Parameters (statistics) | Bayesian analysis | Hydraulic design | Groundwater |

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