GMDSI and the USGS have co-funded the development of a series of jupyter notebooks that use python scripting to demonstrate many aspects of applied decision-support
Decision-support groundwater modelling is as much an art as it is a science. Much of the “art” is in decomposing the management problem that modelling
Using the PLPROC parameter preprocessor supplied with the PEST suite, moveable polylinear and polygonal structural features such as faults and aquitard windows can be inserted
Construction of a decision support groundwater model requires that parameters be adjustable, stochastic and representative of geological conditions. This can be difficult to achieve in
This tutorial introduces data space inversion (DSI). DSI can be used to explore the uncertainties of predictions made by complex models with complicated hydraulic property
This tutorial explains four ways to explore the uncertainties of two predictions made by a relatively simple, fast-running model. These are: Linear analysis Sampling a
This is the last of a three-part series recorded by John Doherty. The first video is recalling what you once knew. The second video will be
This is the second of a three-part series recorded by John Doherty. The first video is recalling what you once knew. The second video will
This is the first of a three-part series recorded by John Doherty. The first video is recalling what you once knew. The second video will
GMDSI presented three webinars delivered by John Doherty (author of PEST). Webinar 1: Wednesday 28th September – Video Recording and PowerPoint PresentationWebinar 2: Wednesday 12th October
GMDSI is managed by the National Centre for Groundwater Research and Training (NCGRT) and administered by Flinders University.