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Is it possible to capture epistemic uncertainty in geological models?

; ; ;

In
EGU General Assembly 2019

In
Geophysical research abstracts : GRA 21, Seiten/Artikel-Nr.:EGU2019-17448

Konferenz/Event:EGU General Assembly 2019 , Vienna , Austria , EGU 2019 , 2019-04-07 - 2019-04-12

ImpressumKatlenburg-Lindau : European Geophysical Society

Umfang1 Seite

ISSN1607-7962

Online
DOI: 10.18154/RWTH-2019-06249
URL: https://publications.rwth-aachen.de/record/763328/files/763328.pdf
URL: https://meetingorganizer.copernicus.org/EGU2019/EGU2019-17448.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Computational Geoscience and Reservoir Engineering (541220)
  2. Fachgruppe für Geowissenschaften und Geographie (530000)


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Dokumenttyp
Abstract/Journal Article/Contribution to a conference proceedings

Format
online

Sprache
English

Interne Identnummern
RWTH-2019-06249
Datensatz-ID: 763328

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Ebsco Academic Search
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Document types > Articles > Journal Articles
Document types > Presentations > Abstracts
Faculty of Georesources and Materials Engineering (Fac.5) > Division of Earth Sciences and Geography
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530000
541220
 Record created 2019-06-27, last modified 2023-03-14
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