Carolin Winter

Helmholtz Centre for Environmental Research – UFZ

Subject Areas: Hydrology, Water quality

 Recent Activity

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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ABSTRACT:

This resource provides water quality data for Winter et al. (2020) from the Selke catchment (456 km², Germany), a sub-catchment of the Bode catchment, which is part of the network of TERrestrial ENvironmental Observatories (TERENO). Within the Selke catchment, we consider three nested sub-catchments that are delineated by the following gauging stations: i) Silberhütte (SH) , ii) Meisdorf (MEIS) and iii) Hausneindorf (HAUS). More specifically, this resource provides the following datasets:

1) Annual and seasonal averages of flow-normalized (FN) and non-FN nitrate concentrations (C in mg/L), loads (L in kg/d) and CQ-slopes (ß)between 1983 - 2016 for all three nested sub-catchments, calculated via Weighted Regression on Time, Discharge and Season (WRTDS, Hirsch et al. 2010).
2) Annual nitrogen (N) input data for all three sub-catchments (in kg/ ha * a) between 1950 - 2015. This N-input data is the sum of N-input from agricultural areas, N-input from non-agricultural areas (atm. deposition and biological fixation) and to a minor part from wastewater treatment plants (WWTPs).
3) A table of event characteristics from high-frequency measurements between 2013 - 2016 in Silberhütte and between 2010 - 2016 in Meinsdorf and Hausneindorf (15 min resolution, Qmax in mm and Cmax in mg/L, R2 is the coefficient of determination).

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Resource Resource
Water quality data - Selke catchment
Created: May 20, 2020, 2:25 p.m.
Authors: Winter, Carolin · Lutz, Stefanie · Musolff, Andreas · Rohini Kumar · Michael Weber · Jan H. Fleckenstein

ABSTRACT:

This resource provides water quality data for Winter et al. (2020) from the Selke catchment (456 km², Germany), a sub-catchment of the Bode catchment, which is part of the network of TERrestrial ENvironmental Observatories (TERENO). Within the Selke catchment, we consider three nested sub-catchments that are delineated by the following gauging stations: i) Silberhütte (SH) , ii) Meisdorf (MEIS) and iii) Hausneindorf (HAUS). More specifically, this resource provides the following datasets:

1) Annual and seasonal averages of flow-normalized (FN) and non-FN nitrate concentrations (C in mg/L), loads (L in kg/d) and CQ-slopes (ß)between 1983 - 2016 for all three nested sub-catchments, calculated via Weighted Regression on Time, Discharge and Season (WRTDS, Hirsch et al. 2010).
2) Annual nitrogen (N) input data for all three sub-catchments (in kg/ ha * a) between 1950 - 2015. This N-input data is the sum of N-input from agricultural areas, N-input from non-agricultural areas (atm. deposition and biological fixation) and to a minor part from wastewater treatment plants (WWTPs).
3) A table of event characteristics from high-frequency measurements between 2013 - 2016 in Silberhütte and between 2010 - 2016 in Meinsdorf and Hausneindorf (15 min resolution, Qmax in mm and Cmax in mg/L, R2 is the coefficient of determination).

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Resource Resource
Runoff event characteristics - Supporting Information for Winter et al. (2022)
Created: Dec. 17, 2021, 8:46 a.m.
Authors: Winter, Carolin · Larisa Tarasova · Stefanie R. Lutz · Andreas Musolff · Rohini Kumar · Jan H. Fleckenstein

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

Show More