the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves
- 1Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Bologna, Italy
- 2European Commission, DG Joint Research Centre (JRC), Ispra, Italy
- 1Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Bologna, Italy
- 2European Commission, DG Joint Research Centre (JRC), Ispra, Italy
Abstract. For about 24,000 river basins across Europe, we provide a continuous representation of the streamflow regime in terms of empirical flow–duration curves (FDCs), which are key signatures of the hydrological behaviour of a catchment and are widely used for supporting decisions on water resources management as well as for assessing hydrologic change. In this study, FDCs are estimated by means of the geostatistical procedure termed total negative deviation top-kriging (TNDTK), starting from the empirical FDCs made available by the Joint Research Centre of the European Commission (DG-JRC) for about 3,000 discharge measurement stations across Europe. Consistent with previous studies, TNDTK is shown to provide high accuracy for the entire study area, even if with different degrees of reliability, which varies significantly over the study area. In order to provide this kind of information site-by-site, together with the estimated FDCs, for each catchment we provide indicators of the accuracy and reliability of the performed large-scale geostatistical prediction. The dataset is freely available at the open access library PANGAEA (Data Publisher for Earth & Environmental Science) at https://doi.pangaea.de/10.1594/PANGAEA.938975 (Persiano et al., 2021).
Simone Persiano et al.
Status: final response (author comments only)
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RC1: 'Comment on essd-2021-469 (Invited Reviewer)', Anonymous Referee #1, 11 Mar 2022
This is a brief and well-written manuscript describing a data set of statistically estimated flow duration curves (at a density of 15 quantiles) for basins across the European continent. The manuscript uses existing methods and cites them appropriately, leading to a thoroughly described methodology. I have no concerns with eventual publication, and I congratulate the authors on a succinct and thorough work.
If space allows, I would like the authors to opine a bit more on this statement: “An empirical characterization of the natural streamflow regime over large areas would be a fundamental piece of information for benchmarking the performance of macro-scale models and for assessing their potential locally” (lines 33-34). I certainly agree, and I find it to be a motivating factor for this work. I was disappointed not to see it strongly revisited in the discussion or conclusions. Perhaps it is beyond the scope of a data manuscript, but I am curious about how the authors see this work advancing that goal. How would an estimated FDC, with inherent uncertainty, be used to train a macro model? How would you account for the uncertainty? What would be the implications of this uncertainty? There are, of course, no definitive answers here, but a brief discussion may deepen the impact of this work.
- RC2: 'Comment on essd-2021-469', Anonymous Referee #2, 15 Mar 2022
Simone Persiano et al.
Data sets
Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves Persiano, Simone; Pugliese, Alessio; Aloe, Alberto; Skøien, Jon Olav; Castellarin, Attilio; Pistocchi, Alberto https://doi.pangaea.de/10.1594/PANGAEA.938975
Simone Persiano et al.
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