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Journal Article | FZJ-2016-06200 |
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2016
Elsevier
Amsterdam [u.a.]
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Please use a persistent id in citations: doi:10.1016/j.jhydrol.2016.08.053
Abstract: In this paper, we review the role of patterns to improve our understanding of water, mass and energy exchange processes in soil-vegetationatmosphere systems. We explore the main mechanisms that lead to the formation of patterns in these systems and discuss different approaches to characterizing and quantifying patterns. Specific attention is given to the use of data-driven methods to detect patterns in spatial and temporal data that do not make assumptions about underlying statistical properties of patterns. These methods include e.g. decomposition methods, binning based methods, unsupervised classification and temporal stability analysis. We then analyze the value of considering patterns in evaluating model performance, reducing uncertainty in prediction of states and fluxes, as well as for upscaling and downscaling. Finally, we present ways forward to make better use of patterns in the description of flow and transport processes in soil-vegetationatmosphere systems.
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