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Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images)


An older version of this resource http://www.hydroshare.org/resource/23fc96f7517247babb83f7d5418e3023 is available.
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Resource type: Collection Resource
Storage: The size of this resource is 749 bytes
Created: Oct 15, 2020 at 4:43 p.m.
Last updated: Oct 15, 2020 at 4:44 p.m.
DOI: 10.4211/hs.dcfeb8b4fac848eab9a058b38b69acc7
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

Wetted channel networks expand and contract throughout the year. Direct observation of this process can be made by multiple intensive surveys of a catchment throughout the year. Godsey et al. (2014) suggest that the extent of the wetted channel network scales with discharge at the outlet by a power law (L = αQ^β). Using this relationship, we developed a framework to assess variability in the extent of wetted channels as a function of β and the variability in streamflow Q (Lapides et al., In Review, https://eartharxiv.org/mc6np/). This resource constitutes the empirical basis for that study, a comprehensive dataset compiled from literature including:

1 - Channel length survey data (csv files)
2 - Discharge time series data (csv files)
3 - Watershed metadata (csv files)
4 - Blueline network files (pdf, png, and shp files)

This collection is comprehensive in that it includes all watersheds where at least three channel length surveys have been conducted and where a corresponding discharge time series dataset is available. The requirement of a minimum of three channel length surveys stems from the data requirements to find α and β for the power law relationship between discharge and stream network length for headwater catchments (Godsey et al., 2014). At present, data for 14 watersheds worldwide are included in the collection along with reference maps, watershed metadata, shapefiles and a composite of USGS blueline stream network imagery with terrain for watersheds of interest in the United States. Notably, this collection brings data from a variety of earth science agencies worldwide into a common, clearly labelled format.

Methods used to process the datasets or create other assets in this collection are included in the abstracts or additional metadata for each of the four resources listed above. Python code used to process data, compute variables, and create graphics is available at: https://zenodo.org/record/4057320

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
['Decimal degrees']
North Latitude
51.8800°
East Longitude
8.7300°
South Latitude
35.0500°
West Longitude
-123.7300°

Temporal

Start Date:
End Date:

Collection Contents

Add Title Type Owners Sharing Status My Permission Remove
2 - Discharge time series data CompositeResource Christine Leclerc Published Open Access
4 - Blueline network files CompositeResource Christine Leclerc Published Open Access
1 - Channel length survey data CompositeResource Christine Leclerc Published Open Access
3 - Watershed metadata CompositeResource Christine Leclerc Published Open Access

References

Sources

Derived From: Hunsaker, C.: SSCZO – Streamflow / Discharge – KREW, Bull Creek – 2003-2010), https://doi.org/http://www.hydroshare.org/resource/d6d8b2a6e5604629b1192233646dfea1, updated 21 November 2019, 2019a.
Derived From: US Forest Service: Caspar Creek Experimental Watershed Study, SFC - Tributary South Fork (1963-1995) data, https://doi.org/https://www.fs.fed.us/psw/topics/water/caspar/data/map/sfc.shtml, updated 18 August 1998, 1998b.
Derived From: US Forest Service: Caspar Creek Experimental Watershed Study, NFC - Tributary North Fork (1963-1995) data, https://doi.org/https://www.fs.fed.us/psw/topics/water/caspar/data/map/nfc.shtml, updated 18 August 1998, 1998a.
Derived From: Miniat, C. F., Laseter, S. H., Swank, W. T., and Vose, J. M.: Daily streamflow data for watersheds at Coweeta Hydrologic Lab, North Carolina, https://doi.org/10.2737/RDS-2016-0025, updated 10 February 2020, 2016.
Derived From: Zimmer, M.: Duke Forest Research Watershed Data Archives, https://doi.org/https://doi.org/10.2737/RDS-2016-0025, updated 19 July 2019, 2017.
Derived From: U.S. Geological Survey: Elder C Nr Branscomb CA, https://waterdata.usgs.gov/monitoring-location/11475560/#parameterCode=00060, accessed 28 July 2020, 2020ah.
Derived From: Edwards, P. J. and Wood, F.: Fernow Experimental Forest daily streamflow, https://doi.org/https://doi.org/10.2737/RDS-2011-0015, updated 9 January 2020, 2011
Derived From: USDA Forest Service, Northern Research Station: Hubbard Brook Experimental Forest: Daily Streamflow by Watershed, 1956 - present, https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=2, updated 25 June 2020, 2020.
Derived From: Hunsaker, C.: SSCZO – Streamflow / Discharge – Providence – (2003-2010), https://doi.org/https://www.hydroshare.org/resource/180f67282b4149ca8d4f41b2438257eb/, updated 21 November 2019, 2019b.
Derived From: UK Centre for Ecology and Hydrology: Ray at Grendon Underwood, https://nrfa.ceh.ac.uk/data/station/meanflow/39017, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Sagehen C Nr Truckee CA, https://waterdata.usgs.gov/monitoring-location/10343500/#parameterCode=00060, accessed 29 July 2020, 2020gd.
Derived From: Stähli, M.: Longterm hydrological observatory Alptal (central Switzerland), https://www.envidat.ch/#/metadata/ longterm-hydrological-observatory-alptal-central-switzerland, updated 10 April 2018, 2018.
Derived From: U.S. Geological Survey: Sixmile Creek at Bethel Grove NY, https://waterdata.usgs.gov/monitoring-location/04233300/#parameterCode= 00060, accessed 29 July 2020, 2020hg
Derived From: U.S. Geological Survey: Thompson Creek near Clayton, ID, https://waterdata.usgs.gov/monitoring-location/13297330/#parameterCode= 00060, accessed 05 August 2020, 2020bf.
Derived From: U.S. Geological Survey: Blackbird Creek near Cobalt, ID, https://waterdata.usgs.gov/monitoring-location/13306336/#parameterCode= 00060, accessed 05 August 2020, 2020ca.
Derived From: U.S. Geological Survey (2020d): Johnson Creek at Yellow Pine ID, https://waterdata.usgs.gov/monitoring-location/13313000/#parameterCode=00060, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey (2020e): Meadow Creek near Stibnite, ID, https://waterdata.usgs.gov/monitoring-location/13310850/#parameterCode=00060, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey (2020f): MF Salmon River at Mouth near Shoup, ID, https://waterdata.usgs.gov/monitoring-location/13310199/#parameterCode=00060, accessed 29 July 2020, 2020.
Derived From: Godsey, S. E. and Kirchner, J. W.: Dynamic, discontinuous stream networks: hydrologically driven variations in active drainage density,flowing channels and stream order, Hydrological Processes, 28, 5791–5803, https://doi.org/10.1002/hyp.10310, 00010, 2014.
Derived From: Chen, D. and Chen, H. W.: Using the Köppen classification to quantify climate variation and change: An example for 1901–2010, Environ-mental Development, 6, 69–79, 2013.
Derived From: Laseter, Stephanie H.; Ford, Chelcy R.; Vose, James M.; Swift, Lloyd W. Jr. 2012. Long-term temperature and precipitation trends at the Coweeta Hydrologic Laboratory, Otto, North Carolina, USA. Hydrology Research 43(6):890-901.
Derived From: Zimmer, M. A., Runoff Generation Across Ephemeral To Perennial Piedmont Catchments. PhD in Earth and Ocean Sciences. Duke University. 2017.
Derived From: PRISM. PRISM Climate Group 30-Year Normals. Corvallis, OR: Oregon State University. Retrieved from http://prism.oregonstate.edu. 2010.
Derived From: Whiting, J. A. and Godsey, S. E.: Discontinuous headwater stream networks with stable flowheads, Salmon River basin, Idaho, HydrologicalProcesses, 30, 2305–2316, https://doi.org/10.1002/hyp.10790, _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.10790, 2016.
Derived From: Crooks, S. M., Kay, A. L., and Reynard, N. S.: Regionalised impacts of climate change on flood flows: hydrological models, catchments and calibration, Milestone report 1, available at: http://randd.defra.gov.uk/Document.aspx?Document= FD2020_8853_TRP.pdf (last access: 21 September 2020), 2010
Derived From: van Meerveld, H. J. I.: Expansion and contraction of the flowing stream network alter hillslope flowpath lengths and the shape of the travel time distribution, Hydrology and Earth System Sciences, 23, 4825–6604834, https://doi.org/10.5194/hess-23-4825-2019, publisher: Copernicus GmbH, 2019.
Derived From: Shaw,S.B.: Investigating the linkage between streamflow recession rates and channel network contraction in a mesoscale catchment in New York state, Hydrological Processes, 30, 479–492, https://doi.org/10.1002/hyp.10626, _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.10626, 2016.
Derived From: National Oceanic and Atmospheric Administration. “Data Tools: 1981-2010 Normals.” 1981-2010 Normals | Data Tools | Climate Data Online (CDO) | National Climatic Data Center (NCDC), www.ncdc.noaa.gov/cdo-web/datatools/normals. 2020.
Derived From: Jensen, C. K., McGuire, K. J., and Prince, P. S.: Headwater stream length dynamics across four physiographic provinces of the Appalachian Highlands, Hydrological Processes, 31, 3350–3363, https://doi.org/10.1002/hyp.11259, _eprint:https://onlinelibrary.wiley.com/doi/pdf/10. 2017.
Derived From: Lovill, S. M., Hahm, W. J., and Dietrich, W. E.: Drainage from the Critical Zone: Lithologic Controls on the Persistence and Spatial Extent of Wetted Channels during the Summer Dry Season, Water Resources Research, 54, 5702–5726, https://doi.org/10.1029/2017WR021903. 2017.
Derived From: Blyth, K. and Rodda, J.: A stream length study, Water Resources Research, 9, 1454–1461, 1973.
Derived From: U.S. Geological Survey: Patterson Mountain CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Patterson_Mountain_20180829_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Mathison Peak CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Mathison_Peak_20181107_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Prentiss NC 2019, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/NC/NC_Prentiss_20190729_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Northwest Durham NC 2019, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/NC/NC_Northwest_Durham_20190807_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Southwest Durham NC 2019, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/NC/NC_Southwest_Durham_20190729_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Cahto Peak CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Cahto_Peak_20180912_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Lincoln Ridge CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Lincoln_Ridge_20180912_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Parsons WV 2019, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/WV/WV_Parsons_20191209_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Woodstock NH 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/NH/NH_Woodstock_20180707_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Dinkey Creek CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Dinkey_Creek_20180829_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Hobart Mills CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Hobart_Mills_20180907_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Independence Lake CA 2018, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/CA/CA_Independence_Lake_20180907_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Dryden NY 2019, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/NY/NY_Dryden_20190925_TM_geo.pdf, accessed 29 July 2020, 2020.
Derived From: U.S. Geological Survey: Dave Lewis Peak ID 2020, U.S. Geological Survey, https://prd-tnm.s3.amazonaws.com/StagedProducts/Maps/USTopo/PDF/ID/ID_Dave_Lewis_Peak_20200421_TM_geo.pdf, accessed 6 August 2020, 2020.

Related Resources

The content of this resource serves as the data for: Lapides, D., Leclerc, C. D., Moidu, H., Dralle, D., & Hahm, W. J. (2020, August 14). Variability of headwater stream network extents controlled by flow regime and network hydraulic scaling. https://doi.org/10.31223/osf.io/mc6np
This resource updates and replaces previous version: http://www.hydroshare.org/resource/23fc96f7517247babb83f7d5418e3023

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Natural Sciences and Engineering Research Council of Canada Undergraduate Student Research Award

How to Cite

Leclerc, C. D., D. A. Lapides, H. Moindu, D. Dralle, W. J. Hahm (2020). Comprehensive network hydraulic scaling datasets and associated resources (discharge, channel length surveys, watershed metadata, blueline network shapefiles and reference images), HydroShare, https://doi.org/10.4211/hs.dcfeb8b4fac848eab9a058b38b69acc7

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

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

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