{"id":261,"date":"2025-04-01T13:07:41","date_gmt":"2025-04-01T11:07:41","guid":{"rendered":"https:\/\/www.unine.ch\/phdschool-wes\/?page_id=261"},"modified":"2025-08-11T11:06:02","modified_gmt":"2025-08-11T09:06:02","slug":"pest","status":"publish","type":"page","link":"https:\/\/www.unine.ch\/phdschool-wes\/pest\/","title":{"rendered":"Parameter Estimation and Uncertainty Analysis: Principles and Practice"},"content":{"rendered":"

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Parameter Estimation and Uncertainty Analysis: Principles and Practice<\/h2>\n\t<\/div>\n<\/div>
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Course Overview<\/h3>\n

This five-day course, led by John Doherty<\/em> (author of PEST<\/a>), covers modern inversion and uncertainty analysis techniques for subsurface flow models. Hands-on sessions show how to implement theory using the PEST and PEST++ suites.<\/p>\n

A key focus is the distinction between numerical modelling<\/strong> that is undertaken to understand how groundwater systems work\u00a0and decision-support groundwater modeling<\/strong>.\u00a0While the latter must inform real-world management, it must do so under uncertainty\u2014since subsurface properties can never be perfectly known. The goal is not perfect prediction, but bias-free decision-making<\/strong> that acknowledges risk.<\/p>\n

Topics include:<\/p>\n