Code used to generate plots in "Comment on 'The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records' by de Oliveira and Vrugt", by Knoben and Clark

• export_fig-master: Downloaded from GitHub (Woodford and Altman, 2014) and redistributed under a BSD 3-Clause "New" or "Revised" License.
• error_estimation.m: Obtained from the Supporting Information from de Oliveira and Vrugt (2022; https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2022WR032263&file=2022WR032263-sup-0001-Supporting+Information+SI-S01.pdf).

• Bow River data (05BB001_QR_Dec-22-2021_10_08_18PM.csv): obtained from Environment and Climate Change Canada Real-time Hydrometric Data web site (https://wateroffice.ec.gc.ca/mainmenu/real_time_data_index_e.html) on Dec-22, 2021.
• Leaf River data (02472000-usgs-hourly.csv): Extracted from the hourly observations made available by Gauch et al. (2020)

Script main_bow.m generates the graphics used in the comment. The code generates one figure that was manually separated into two figures.

Script main_leaf.m generates the same graphic using data from the Leaf River (used as the main example if de Oliveira and Vrugt, 2022).

Computations were performed with MATLAB R2019a.

Gauch, M., Kratzert, F., Klotz, D., Nearing, G., Lin, J., & Hochreiter, S. (2020). Data for “rainfall-runoff prediction at multiple timescales with a single long short-term memory network”. Zenodo. Retrieved from https://doi.org/10.5281/zenodo.4072701 doi: 10.5281/zenodo.4072701

de Oliveira, D. Y., & Vrugt, J. A. (2022, November). The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records. Water Resources Research, 58 (11). Retrieved 2022-11-30, from https://onlinelibrary.wiley.com/doi/10.1029/2022WR032263 doi:10.1029/2022WR032263

Woodford, O. J., and Altman Y. (2014). export_fig: A toolbox for exporting figures from MATLAB to standard image and document formats nicely. https://github.com/altmany/export_fig/