Runoff event characteristics - Supporting Information for Winter et al. (2022)
Authors: | |
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Owners: | Carolin Winter |
Type: | Resource |
Storage: | The size of this resource is 804.6 KB |
Created: | Dec 17, 2021 at 8:46 a.m. |
Last updated: | Dec 31, 2021 at 12:44 p.m. (Metadata update) |
Published date: | Dec 31, 2021 at 12:44 p.m. |
DOI: | 10.4211/hs.8409b4a5d40541b684d4bdafc0b16b43 |
Citation: | See how to cite this resource |
Content types: | Single File Content |
Sharing Status: | Published |
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Abstract
This resource provides two tables of runoff event characteristics from i) long-term and ii) high-frequency (hourly) data that support the study by Winter et al. (2022) with the title "Explaining the Variability in High-Frequency Nitrate Export Patterns Using Long-Term Hydrological Event Classification". Data stems from six mesoscale (39 km² - 460 km²) catchments in in Germany that are sub-catchments of the Bode catchment, part of the TERestrial Environmental Observatories (TERENO, Wollschläger et al., 2017). Runoff events were identified according to Tarasova et al. (2018) and classified according to Tarasova et al. (2020).
Table S2. Runoff event characteristics for 5872 events from daily long-term data (1955 – 2018)
Table S3. Runoff event characteristics for 388 events from hourly data including nitrate concentration data (2013 – 2017)
References
Tarasova, L., Basso, S., Zink, M., & Merz, R. (2018). Exploring Controls on Rainfall‐Runoff Events: 1. Time Series‐Based Event Separation and Temporal Dynamics of Event Runoff Response in Germany. Water Resources Research, 54(10), 7711–7732. https://doi.org/10.1029/2018WR022587
Tarasova, L., Basso, S., Wendi, D., Viglione, A., Kumar, R., & Merz, R. (2020). A process‐based framework to characterize and classify runoff events: The event typology of Germany. Water Resources Research, 56(5), e2019WR026951. https://doi.org/10.1029/2019WR026951
Wollschläger, U., Attinger, S., Borchardt, D., Brauns, M., Cuntz, M., Dietrich, P., et al. (2017). The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory. Environmental Earth Sciences, 76(1), 29. https://doi.org/10.1007/s12665-016-6327-5
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The content of this resource is derived from | Raw discharge data was derived from the State Office of Flood Protection and Water Quality of Saxony-Anhalt (LHW). Meteorological datasets were provided by Germany's Meteorological Service (Deutscher Wetterdienst, DWD). Nitrate concentration data was provided by the TERENO observational facilities. |
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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