Hydrographs from validation subsets of PCR-GLOBWB-RF (30 arcmin)
<p>Plots showing hydrographs and flow duration curves (observed discharge, uncalibrated PCR-GLOBWB discharge and hybrid modelled discharge, 1979-2019) and respective residuals at all stations used for cross-validation (5 subsamples).</p> <p>A selected number of these plots were used in figure 7 in the paper, to show that the hybrid approach can improve (most of the time) or worsen the performance of uncalibrated PCR-GLOBWB. Here we store all the plots produced during cross-validation, to satisfy any potential curiosity of the reader. Plot numbers reflect stations from the Global Runoff Data Centre (GRDC). Note that the hybrid approach can produce a continuous synthetic streamflow time-series, irrespective of the availability of data at a particular station.</p> <p>A description of the hybrid methodology used to produce these time-series can be found in the paper 'Global streamflow modelling using process-informed machine learning', by Michele Magni, Edwin H. Sutanudjaja, Youchen Shen and Derek Karssenberg.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0