This is the first of a two-part series recorded by John Doherty. The first video is philosophical. The second video provides two real-world examples of the philosophy at work. This first video begins by examining the scientific method. It then examines the way in which decision-support groundwater modelling is commonly
We have gathered a range of videos to help you deepen your understanding of decision-support modelling and to enable you to implement appropriate modelling solutions. Some of these are educational videos, others are recordings of GMDSI hosted webinars. Most of these videos are of general interest, describing the theoretical and conceptual outcomes of history-matching, while some are more specific and of a more technical nature.
Videos and webinars in this section are of general interest. They discuss a wide range of topics, addressing the core concepts that underpin decision-support modelling without going into too much technical detail. These videos are of interest for both modellers, those who procure models and regulators.
This is the second of a two-part series recorded by John Doherty. The first video is philosophical. The second video provides real-world examples of the philosophy at work. Two examples are discussed. Both of these are the subject of GMDSI worked example reports. The first example illustrates how, through simultaneous
https://vimeo.com/566929903 by Catherine More and John Doherty Because environmental systems are complex, models must be complex too. Otherwise, how can they simulate the impact of human management on natural systems? This applies especially to groundwater systems. After all, water flows through heterogeneous media and interacts with surface water bodies in
On 28th October, 2020 GMDSI hosted a discussional webinar whose purpose was to address tensions which sometimes arise between modellers and hydrogeologists If you would like to watch the webinar, click here. After the webinar, some of our listeners had their say – you can read their comments or contribute your
https://vimeo.com/548316380 by Catherine Moore and John Doherty We have talked about uncertainty before – in last year’s webinar series. We have been asked to talk about it some more. Our target audience for this webinar are those who are not necessarily modellers but who must work with modellers, and who
In May and June 2020, GMDSI offered a four-part webinar series on decision-support modelling principles and practice. John Doherty and Catherine Moore presented the first three of these webinars, while the fourth was presented by John Doherty and Jeremy White (USGS and co-author of the PEST++ suite). The webinars were
Approaches to improve the value of models and to reduce total project costs. Presented by Ty Ferre, University of Arizona. Download on VIMEO
Videos and webinars in this section are a bit more technical. These introduce how to undertake decision-support modelling in practice, as well as providing examples of real-world cases. They discuss the challenges of groundwater modelling calibration, history-matching and uncertainty quantification.
We are calling this our “Christmas Cracker” webinar for two good reasons. Firstly, it was held just 10 days before Christmas. Secondly, it was entertaining, and easy to listen to.
These videos were prepared as lectures for the Groundwater Modelling topic of the Groundwater Hydrology course at Flinders University. They aim to introduce history matching
This video provides a short refresher on some aspects of matrix and vector algebra that we all learned at school but have since forgotten. It
This short video discusses what it means to calibrate a groundwater (or other) model. Calibration implies uniqueness. The quest for uniqueness is not a quest
This video shows how parameters can be estimated when model calibration constitutes a well-posed inverse problem. However, in groundwater modelling, well-posedness does not occur unless
This video extends the discussion of the preceding video, while laying the foundation for ensuing videos. It explains how calibration based on manual regularization, whether
The importance of Tikhonov regularization in the solution of an ill-posed inverse problem in general, and in the calibration of a groundwater model in particular,
Singular value decomposition (SVD) is explained. Also explained is the important role that SVD can play in solving an ill-posed inverse problem, and the insights
Pilot points are often employed as a parameterization device for groundwater models. This is because they can provide a sound basis for highly-parameterized inversion while
This is the first of a two-part series. It discusses correlated random variables. It shows how knowledge of one such variable conditions estimation of the
In this continuation of the first video of this series, links between geostatistics and history matching of groundwater models are explored. The use of geostatistical
This video provides an overview of PEST and the three families of utility software that accompany it. It also provides a brief discussion of the
This is the first video of a two-part series whose intention is to provide PEST users with some information on how to use PEST, and
This second video of a two-part series covers calculation of finite-difference derivatives, defences against model output numerical granularity, some aspects of observation weighting, termination criteria,
On 22 September 2020, Jeremy White and Mike Fienen from the USGS presented a GMDSI sponsored webinar on PEST++ V5. PEST++ V5 includes a wide
The Maths behind PEST/PEST++
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
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 last of a three-part series recorded by John Doherty. The first video is recalling what you once knew. The second video will be
Applied Decision Support Groundwater Modelling with Python: A guided self-study course
Week 1 NZ/AUS https://vimeo.com/866196071%20 This is the first recording from the NZ/AUS self-paced guided study course on Decision Support Groundwater Modeling with Python. Week 1