Article (Scientific journals)
Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research
Briant, R. M.; Cohen, K. M.; Cordier, Stéphane et al.
2018In Earth Surface Processes and Landforms, 43, p. 2964-2980
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Keywords :
Catchments; Fluvial systems; Geological field data; Landscape evolution modelling; Pattern Oriented Sampling; Data acquisition; Digital storage; Geomorphology; Philosophical aspects; Runoff; Specifications; Geological fields; Key characteristics; Landscape changes; Landscape evolutions; Model specifications; Pattern-oriented modelling; Research questions
Abstract :
[en] Field geologists and geomorphologists are increasingly looking to numerical modelling to understand landscape change over time, particularly in river catchments. The application of landscape evolution models (LEMs) started with abstract research questions in synthetic landscapes. Now, however, studies using LEMs on real-world catchments are becoming increasingly common. This development has philosophical implications for model specification and evaluation using geological and geomorphological data, besides practical implications for fieldwork targets and strategy. The type of data produced to drive and constrain LEM simulations has very little in common with that used to calibrate and validate models operating over shorter timescales, making a new approach necessary. Here we argue that catchment fieldwork and LEM studies are best synchronized by complementing the Pattern Oriented Modelling (POM) approach of most fluvial LEMs with Pattern Oriented Sampling (POS) fieldwork approaches. POS can embrace a wide range of field data types, without overly increasing the burden of data collection. In our approach, both POM output and POS field data for a specific catchment are used to quantify key characteristics of a catchment. These are then compared to provide an evaluation of the performance of the model. Early identification of these key characteristics should be undertaken to drive focused POS data collection and POM model specification. Once models are evaluated using this POM/POS approach, conclusions drawn from LEM studies can be used with greater confidence to improve understanding of landscape change. © 2018 John Wiley & Sons, Ltd.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Briant, R. M.;  Department of Geography, Birkbeck University of London London UK
Cohen, K. M.;  Department of Physical Geography Utrecht University Utrecht The Netherlands
Cordier, Stéphane
Demoulin, Alain ;  Université de Liège - ULiège > Département de géographie > Unité de géographie physique et quaternaire (UGPQ)
Macklin, M. G.;  School of Geography University of Lincoln Lincoln UK, Institute Agriculture and Environment, College of Sciences Massey University Palmerston North New Zealand
Mather, A. E.;  School of Geography, Earth and Environmental Sciences University of Plymouth Plymouth UK
Rixhon, G.;  Laboratoire Image, Ville, Environnement (LIVE), UMR 7362 - CNRS University of Strasbourg-ENGEES Strasbourg France
Veldkamp, T.;  ITC, Faculty of Geo-Information Science and Earth Observation of the University of Twente Enschede The Netherlands
Wainwright, J.;  Department of Geography, Science Laboratories Durham University Durham UK
Whittaker, A.;  Department of Earth Science and Engineering Imperial College London, South Kensington Campus London UK
Wittmann, H.;  Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences Potsdam Germany
Language :
English
Title :
Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research
Publication date :
2018
Journal title :
Earth Surface Processes and Landforms
ISSN :
0197-9337
eISSN :
1096-9837
Publisher :
Wiley
Volume :
43
Pages :
2964-2980
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 06 November 2018

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