Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research

Briant, Rebecca M and Cohen, Kim M and Cordier, Stephane and Demoulin, Alain J A G and Macklin, Mark and Mather, Anne E and Rixhon, Gilles and Veldkamp, Tom and Wainwright, John and Whittaker, Alex and Wittmann, Hella (2018) Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research. Earth Surface Processes and Landforms . ISSN 0197-9337

Full content URL: https://onlinelibrary.wiley.com/doi/full/10.1002/e...

Documents
esp.4458.pdf

Request a copy
Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research
[img]
[Download]
[img] PDF
esp.4458.pdf - Whole Document
Restricted to Repository staff only

845kB
[img] PDF
Macklin - Applying pattern orientated....pdf - Whole Document

912kB
Item Type:Article
Item Status:Live Archive

Abstract

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.

Additional Information:The final published version of this paper can be accessed online at https://onlinelibrary.wiley.com/doi/full/10.1002/esp.4458
Keywords:landscape evolution modelling, Pattern Oriented Sampling, catchments; fluvial systems;, geological field data
Subjects:F Physical Sciences > F810 Environmental Geography
F Physical Sciences > F841 Maritime Geography
F Physical Sciences > F840 Physical Geography
Divisions:College of Science > School of Geography
ID Code:33629
Deposited On:11 Oct 2018 13:59

Repository Staff Only: item control page