Keith Beven (GS), answered to my previous post and I think it is relevant to bring to the knowledge of everyone his point of view:
"Dear Riccardo,
This is clearly something I have been interested in for a long time – in fact I was writing about models of everywhere long before digital twins became the parlance to use.
I attach some papers that you have not cited but would seem to be relevant. "
"I should perhaps have added that if you look at those papers you will see that I think there is one really important innovation associated with models of everywhere that carries over to the digital twins (where the latter is applied at appropriate scales) and that is the use of visualisations in testing models as hypotheses – including the use of information from local stakeholders. You gain little from applying models at hyperresolution when hyperresolution is 1km for example (see the hyperresolution ignorance paper). "
From Keith's "Still Dynamics" book (click on the image for the book) |
Beven, Keith J., and Ruth E. Alcock. 2012. “Modelling Everything Everywhere: A New Approach to Decision-Making for Water Management under Uncertainty.” Freshwater Biology. https://doi.org/10.1111/j.1365-2427.2011.02592.x.
Beven, Keith, Hannah Cloke, Florian Pappenberger, Rob Lamb, and Neil Hunter. 2015. “Hyperresolution Information and Hyperresolution Ignorance in Modelling the Hydrology of the Land Surface.” SCIENCE CHINA Earth Sciences 58 (1): 25–35. https://doi.org/10.1007/s11430-014-5003-4.
Beven, Keith. 2019. “How to Make Advances in Hydrological Modelling.” Hydrology Research 50 (6): 1481–94. https://doi.org/10.2166/nh.2019.134.
Blair, Gordon S., Keith Beven, Rob Lamb, Richard Bassett, Kris Cauwenberghs, Barry Hankin, Graham Dean, et al. 2019. “Models of Everywhere Revisited: A Technological Perspective.” Environmental Modelling & Software 122 (December): 104521. https://doi.org/10.1016/j.envsoft.2019.104521.
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