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Runoff event characteristics - Supporting Information for Winter et al. (2022)
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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
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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

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Study area
North Latitude
51.8831°
East Longitude
11.4751°
South Latitude
51.5102°
West Longitude
10.6126°

Content

Readme.txt 

Table S2: Event characteristics LT

Runoff event characteristics for 5872 events from daily long-term data (1955 – 2018) 

catchment_ID:	Catchment abbreviation
start:			Starting date of an event (month/day/year) 
end:			End-date of an event (month/day/year) 
season:			Season at the start of an event
event.class:	Event class: 1) Rain- or Snow-induced; 2) Dry or Wet antecedent conditions; 3) Intesity- or Volume-dominated rainfall
volumeM:		Event snowmelt volume [mm]
volumeP:		Total event precipitation volume [mm]
temp.cv:		Temporal coefficient of variation of precipitation rate
Pmax.vol.ratio:	Ratio of maximum precipitation rate and total precipitation volume
ant_sm:			Catchment-averaged antecedent soil moisture	[%]

Table S3: Event characteristic HF

Runoff event characteristics for 388 events from hourly data including nitrate concentration data (2013 - 2017)

catchment_ID:	Catchment abbreviation
start:			Starting date of an event (month/day/year) 
end:			End-date of an event (month/day/year) 
season:			Season at the start of an event
event.class:	Event class: 1) Rain- or Snow-induced; 2) Dry or Wet antecedent conditions; 3) Intesity- or Volume-dominated rainfall
Qmedian:		Median discharge [mm/h]
rc:				Runoff coefficient
Cmedian:		Median nitrate-N concentration [mg/L]
C0:				Nitrate-N concentration at the start of the event [mg/L]
Load:			Nitrate-N load exported during an event [kg/ha*yr]
Load.t			Total nitrate-N load exported during an event [t]
slopeCQ:		Slope between concentration (C) and discharge (Q) in the log-log space; Fitted parameter b from C = aQ^b
a:				Fitted parameter a from C = aQ^b + c dq/dt
b:				Fitted parameter b from C = aQ^b + c dq/dt
c:				Fitted parameter c from C = aQ^b + c dq/dt
CVcCVq:			Coefficient of variation (CV) of nitrate-N concentrations against the CV of discharge (Q)

Related Resources

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.

How to Cite

Winter, C., L. Tarasova, S. R. Lutz, A. Musolff, R. Kumar, J. H. Fleckenstein (2021). Runoff event characteristics - Supporting Information for Winter et al. (2022), HydroShare, https://doi.org/10.4211/hs.8409b4a5d40541b684d4bdafc0b16b43

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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