Code, data and results for manuscript "A parsimonious empirical approach to streamflow recession analysis and forecasting"

<p>This repository hosts the supplementary materials associated with the paper:<br> &gt; Delforge, D., Mu&ntilde;oz-Carpena, R., Van Camp, M. Vanclooster, M. (2020), A parsimonious empirical approach to streamflow recession analysis and forecasting (accepted at Water Resources Research - 29-01-2020).</p> <p>This data set contains streamflow and recession data, a python code file and a Jupyter notebook illustrating how to apply the EDM-Simplex method to forecast the recession, and the outputs of the global sensitivity analysis. All files are documented&nbsp;in the readme.md Markdown files.&nbsp;</p> <p>Streamflow data were obtained&nbsp;from the Aqualim portal (<a href="http://aqualim.environnement.wallonie.be/">http://aqualim.environnement.wallonie.be/</a>) of the &quot;Service Public de Wallonie&quot; and shared with their kind permission.&nbsp;This work is part of a Ph.D. supported by a FRIA grant from the Fund for Scientific Research (FSR-FNRS, Belgium).&nbsp;The authors acknowledge University of Florida Research Computing for providing computational resources and support that have contributed to the research results stored in this repository. URL: <a href="http://researchcomputing.ufl.edu">http://researchcomputing.ufl.edu</a>.</p>