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Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2018-69
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
08 Jun 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Spatially distributed water-balance and meteorological data from the rain-snow transition, southern Sierra Nevada, California
Roger Bales1, Erin Stacy1, Mohammad Safeeq1,2, Xiande Meng1, Matthew Meadows3, Carlos Oroza4, Martha Conklin1, Steven Glaser3, and Joseph Wagenbrenner2 1Sierra Nevada Research Institute, University of California, Merced, California, USA
2USDA Forest Service, Pacific Southwest Research Station, Arcata, California, USA
3Pacific Gas and Electric, Auberry, California, USA
4Department of Civil and Environmental Engineering, University of California, Berkeley, California, USA
Abstract. We strategically placed spatially distributed sensors to provide representative measures of changes in snowpack and subsurface water storage, plus the fluxes affecting these stores, in a set of nested headwater catchments. We present eight years of hourly snow-depth, soil-moisture and soil-temperature data, and 14 years of quarter-hourly streamflow and meteorological data that detail water-balance processes at the rain-snow transition at Providence Creek in the southern Sierra Nevada, California. Providence Creek is the co-operated long-term study run by the Southern Sierra Critical Zone Observatory and the U.S.D.A. Forest Service Pacific Southwest Research Station's Kings River Experimental Watersheds. The 4-km2 montane Providence Creek catchment spans the current rain-snow transition elevation of 1500–2100 m. Two meteorological stations bracket the high and low elevations of the catchment, measuring air temperature, relative humidity, solar radiation, precipitation, wind speed and direction, and snow depth, and at the higher station, snow water equivalent. Paired flumes at three subcatchments and a V-notch weir at the integrating catchment measure quarter-hourly streamflow. Measurements of meteorological and streamflow data began in 2002. Between 2008 and 2010, 50 sensor nodes were added to measure distributed snow depth, air temperature, soil temperature and soil moisture down to a depth of 1 m below the surface. These sensor nodes were installed to capture the lateral differences of aspect and canopy coverage. Data are available at hourly and daily intervals by water year (October 1–September 30) in non-proprietary formats from online data repositories (https://doi.org/10.6071/Z7WC73 and https://doi.org/10.2737/RDS-2017-0037).
Citation: Bales, R., Stacy, E., Safeeq, M., Meng, X., Meadows, M., Oroza, C., Conklin, M., Glaser, S., and Wagenbrenner, J.: Spatially distributed water-balance and meteorological data from the rain-snow transition, southern Sierra Nevada, California, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-69, in review, 2018.
Roger Bales et al.
Roger Bales et al.

Data sets

Southern Sierra Critical Zone Observatory (SSCZO), Providence Creek meteorological data, soil moisture and temperature, snow depth and air temperature R. Bales, M. Meadows, E. Stacy, M. Conklin, and X. Meng https://doi.org/10.6071/Z7WC73

Model code and software

Kings River Experimental Watersheds stream discharge C. Hunsaker and M. Safeeq https://doi.org/10.2737/RDS-2017-0037
Roger Bales et al.

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Short summary
Strategically placed, spatially distributed sensors provide representative measures of changes in snowpack and subsurface water storage, plus the fluxes affecting these stores, in a set of nested headwater catchments. We present 8 years of hourly snow-depth, soil-moisture and soil-temperature data from hundreds of sensors, and 14 years of streamflow and meteorological data that detail processes at the rain-snow transition at Providence Creek in the southern Sierra Nevada, California.
Strategically placed, spatially distributed sensors provide representative measures of changes...
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