BEREV data 2017-2018


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Resource type: Composite Resource
Storage: The size of this resource is 9.0 MB
Created: Aug 08, 2019 at 4:36 a.m.
Last updated: Jan 06, 2021 at 9:34 a.m.
DOI: 10.4211/hs.650ba9303d5942c2b36fa5beafbf612a
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Sharing Status: Published
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Abstract

This dataset is supplementary information to: Schilling et al. (2021): Quantifying groundwater recharge dynamics and unsaturated zone processes in snow‐dominated catchments via on‐site dissolved gas analysis. Water Resour. Res., e2020WR028479. doi: 10.1029/2020WR028479

The data was used to develop a novel tracer method for the quantification of groundwater recharge from snowmelt and includes hydraulic, snow, meteorologic and tracer measurements covering the period of Nov-2017 to Dec-2018. The data was recorded in the experimental boral headwater catchment 'Bassin Expérimental du Ruisseau des Eaux-Volées' (BEREV) of Université Laval, located in the Forêt Montmorency, Québec, Canada.

Subject Keywords

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Sub-basin 7A, BEREV, Foret Montmorency, Quebec, Canada
Longitude
-71.1613°
Latitude
47.2898°

Temporal

Start Date:
End Date:

Content

readme.txt

This dataset is supporting information to: Schilling et al. (2021): Quantifying groundwater recharge dynamics and unsaturated zone processes in snow‐dominated catchments via on‐site dissolved gas analysis. Water Resour. Res., e2020WR028479, DOI: 10.1029/2020WR028479

The data was used to develop a novel tracer method for the quantification of groundwater recharge from snowmelt and includes hydraulic, snow, meteorologic and tracer measurements covering the period of Nov-2017 to Dec-2018. The data was recorded in the experimental boral headwater catchment 'Bassin Expérimental du Ruisseau des Eaux-Volées' (BEREV) of Université Laval, located in the Foret Montmorency, Quebec, Canada.

This supporting information dataset consists of two files: Table_S1.xlsx and Table_S2.xlsx.

- Table_S1.xlsx contains (a) GW and SW data (hydraulic head, temperature and electrical conductivity, SW discharge), (b) hydrometeorological data (air pressure, air temperature, soil temperature, precipitation, snow depth), and (c) the residual water balance calculation for the year 2018 (at daily timestep). In addition to SW and hydrometeorological data, the residual water balance calculation includes the following variables: baseflow, runoff, snow water equivalent, snowmelt and recharge. Details on the measurement, data sources and the calculation of the different water balance components are provided in the main manuscript.

- Table_S2.xlsx contains hydrological tracer measurements for groundwater, surface water, precipitation and snow. Data of the following hydrologic tracers are provided: stable water isotopes (i.e., d2H and d18O), Rn-222, H-3/He-3, dissolved gases measured on-site (He, Ar-40, Kr-84, N2, O2 and CO2) as well as noble gas isotopes.

Daily streamflow data was obtained from the publicly available gauging station records (MELLCC station 051004) (MELLCC, 2019). All other data was measured by Schilling et al. (2020)) and the EVAP project (see Isabelle et al., 2020a (DOI: 10.1016/j.agrformet.2019.107813), Isabelle et al., 2020b (DOI: 10.1007/s10546-019-00488-7), Parajuli et al., 2020 (DOI: 10.1002/hyp.13756), Parajuli et al., 2020 (DOI: 10.3390/w12082284))

References

Sources

Derived From: MELCC, 2019. Discharge data station 051004. Ministère du Développement durable, de l’Environnement et de la Lutte contre les Changements Climatiques Québec (MELCC). URL: https://www.cehq.gouv.qc.ca/hydrometrie/historique_donnees/fiche_station.asp?NoStation=051004
Derived From: Isabelle, P.-E., Nadeau, D. F., Anctil, F., Rousseau, A. N., Jutras, S., & Music, B. (2020a). Impacts of high precipitation on the energy and water budgets of a humid boreal forest. Agric. For. Meterol., 280. doi:10.1016/j.agrformet.2019.107813
Derived From: Isabelle, P.-E., Nadeau, D. F., Perelet, A. O., Pardyjak, E. R., Rousseau, A. N., & Anctil, F. (2020b). Application and evaluation of a two-wavelength scintillometry system for operation in a complex shallow boreal-forested valley. Boundary Layer Meteorol. doi:10.1007/s10546-019-00488-7
Derived From: Parajuli, A., Nadeau, D. F., Anctil, F., Schilling, O. S., & Jutras, S. (2020). Does data availability constrain temperature-index snow model? A case study in the humid boreal forest. Water, 12(8), 2284. doi:10.3390/w12082284
Derived From: Parajuli, A., Nadeau, D. F., Anctil, F., Parent, A.-C., Bouchard, B., Girard, M., & Jutras, S. (2020). Exploring the spatiotemporal variability of the snow water equivalent in a small boreal forest catchment through observation and modelling. Hydrol. Process., 34(11), 2628-2644. doi:10.1002/hyp.1375

Related Resources

The content of this resource is part of: Schilling, O. S., Parajuli, A., Tremblay Otis, C., Müller, T. U., Antolinez Quijano, W., Tremblay, Y., . . . Therrien, R. (2021): Quantifying groundwater recharge dynamics and unsaturated zone processes in snow-dominated catchments via on-site dissolved gas analysis. Water Resour. Res., e2020WR028479. doi:10.1029/2020WR028479

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Swiss National Science Foundation early postdoc.mobility fellowship P2NEP2_171985
Natural Sciences and Engineering Research Council of Canada EVAP - Hydrological modelling with energy budget RDCPJ-477125-14

How to Cite

Schilling, O. S., A. Parajuli, C. Tremblay Otis, T. U. Müller, W. Antolinez Quijano, Y. Tremblay, D. F. Nadeau, M. S. Brennwald, S. Jutras, R. Kipfer, R. Therrien (2021). BEREV data 2017-2018, HydroShare, https://doi.org/10.4211/hs.650ba9303d5942c2b36fa5beafbf612a

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

 http://creativecommons.org/licenses/by/4.0/
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