Unterschiede
Hier werden die Unterschiede zwischen zwei Versionen angezeigt.
Beide Seiten der vorigen Revision Vorhergehende Überarbeitung Nächste Überarbeitung | Vorhergehende Überarbeitung | ||
thesis:vk_milandre [2017/02/26 18:24] – a.hartmann | thesis:vk_milandre [2021/09/20 15:40] (aktuell) – mweiler | ||
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- | ===== THE KARST MODELLING CHALLENGE | + | ===== The Karst Modelling Challenge |
== Motivation== | == Motivation== | ||
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== Aims and methodology == | == Aims and methodology == | ||
- | The aim of this work is to join the world’s first karst model intercomparison project – the karst modelling challenge. At the EUROKARST conference 2016 at Neuchatel (CH), the IAH karst commission, in particular Dr Pierre-Yves Jeannin, brought together a large international group of karst modellers. A common study site (Milandre test site, close to Neuchatel) and common model evaluation procedures were defined. | + | The aim of this work is to join the world’s first karst model intercomparison project – the Karst Modelling Challenge. At the EUROKARST conference 2016 at Neuchatel (CH), the IAH karst commission, in particular Dr Pierre-Yves Jeannin, brought together a large international group of karst modellers. A common study site (Milandre test site, close to Neuchatel) and common model evaluation procedures were defined. |
Within the frame of this thesis, the Varkarst model (developed in Freiburg and Bristol) is meant to be calibrated and evaluated with the new data set of the test site. The data will be provided by the University of Neuchatel. The model and a set of automatic model calibration and evaluation schemes are available in Matlab. The student is expected to get familiar with the structure of the model, to perform an iterative model calibration, | Within the frame of this thesis, the Varkarst model (developed in Freiburg and Bristol) is meant to be calibrated and evaluated with the new data set of the test site. The data will be provided by the University of Neuchatel. The model and a set of automatic model calibration and evaluation schemes are available in Matlab. The student is expected to get familiar with the structure of the model, to perform an iterative model calibration, | ||
Zeile 37: | Zeile 37: | ||
Vrugt, J.A., Stauffer, P.H., Wöhling, T., Robinson, B.A., Vesselinov, V. V, 2009. Inverse Modeling of Subsurface Flow and Transport Properties: A Review with New Developments. Vadose Zo. J. 7, 843–864. | Vrugt, J.A., Stauffer, P.H., Wöhling, T., Robinson, B.A., Vesselinov, V. V, 2009. Inverse Modeling of Subsurface Flow and Transport Properties: A Review with New Developments. Vadose Zo. J. 7, 843–864. | ||
- | {{tag>offen master daten}} | + | {{tag>zurückgestellt |