Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.5194/hess-28-4099-2024 |
Licence  |
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| Title (Primary) | A data-centric perspective on the information needed for hydrological uncertainty predictions |
| Author | Auer, A.; Gauch, M.; Kratzert, F.; Nearing, G.; Hochreiter, S.; Klotz, D. |
| Source Titel | Hydrology and Earth System Sciences |
| Year | 2024 |
| Department | CER |
| Volume | 28 |
| Issue | 17 |
| Page From | 4099 |
| Page To | 4126 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Data and Software links | https://doi.org/10.4211/hs.17c896843cf940339c3c3496d0c1c077 https://doi.org/10.5281/zenodo.10653863 https://doi.org/10.5281/zenodo.10654345 https://doi.org/10.5281/zenodo.10654399 https://doi.org/10.5281/zenodo.10674231 |
| Abstract | Uncertainty estimates are fundamental to assess the reliability of predictive models in hydrology. We use the framework of conformal prediction to investigate the impact of temporal and spatial information on uncertainty estimates within hydrological predictions. Integrating recent information significantly enhances overall uncertainty predictions, even with substantial gaps between updates. While local information yields good results on average, it proves to be insufficient for peak-flow predictions. Incorporating global information improves the accuracy of peak-flow bounds, corroborating findings from related studies. Overall, the study underscores the importance of continuous data updates and the integration of global information for robust and efficient uncertainty estimation. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29683 |
| Auer, A., Gauch, M., Kratzert, F., Nearing, G., Hochreiter, S., Klotz, D. (2024): A data-centric perspective on the information needed for hydrological uncertainty predictions Hydrol. Earth Syst. Sci. 28 (17), 4099 - 4126 10.5194/hess-28-4099-2024 |
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