Article (Scientific journals)
Prediction-focused approaches: an opportunity for hydrology
Hermans, Thomas
2017In Ground Water, 55 (5), p. 683-687
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Keywords :
prediction-focused approach; stochastic inversion; Bayesian formalism; prior
Abstract :
[en] Our ability to predict the evolution of complex hydrological system is fundamental. For decades, such problems have been solved by calibrating a conceptual model of the subsurface to fit data. Unfortunately, model calibration does not allow a realistic uncertainty quantification, whereas stochastic inversion is often computationally prohibitive. In this contribution, prediction-focused approaches (PFAs) are introduced to overcome those main shortcomings. This new paradigm focused on generating predictions directly from the data instead of generating models. A group of prior models is used to generate the data and the prediction in order to derive a direct relationship between both types of variables. The advantages, limitations and research perspectives are discussed.
Disciplines :
Geological, petroleum & mining engineering
Author, co-author :
Hermans, Thomas ;  Université de Liège > Département ArGEnCo > Géophysique appliquée
Language :
English
Title :
Prediction-focused approaches: an opportunity for hydrology
Publication date :
2017
Journal title :
Ground Water
ISSN :
0017-467X
eISSN :
1745-6584
Publisher :
Wiley, Hoboken, United States - New Jersey
Volume :
55
Issue :
5
Pages :
683-687
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 06 June 2017

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