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Discussion papers | Copyright
https://doi.org/10.5194/essd-2018-70
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Jun 2018

13 Jun 2018

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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 Wolverton catchment, Sequoia National Park, California

Roger C. Bales1, Erin M. Stacy1, Xiande Meng1, Martha H. Conklin1, Peter B. Kirchner2,3, and Zeshi Zheng4 Roger C. Bales et al.
  • 1Sierra Nevada Research Institute, University of California, Merced, CA 95343, USA
  • 2Southwest Alaska Network, Inventory & Monitoring, National Park Service, Anchorage, AK 99501 USA
  • 3W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812 USA
  • 4Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA

Abstract. Accurate water-balance measurements in the seasonal, snow-dominated Sierra Nevada are important for forest and downstream water management. However, few sites in the southern Sierra offer detailed records of the spatial and temporal patterns of snowpack and soil-water storage, and the fluxes affecting them, i.e. precipitation as rain and snow, snowmelt, evapotranspiration, and runoff. To explore these stores and fluxes we instrumented the Wolverton basin (2180–2750m) in Sequoia National Park with distributed, continuous sensors. This 2006–2016 record of snow depth, soil moisture and soil temperature, and meteorological data quantifies the hydrologic inputs and storage in a mostly undeveloped catchment. Clustered sensors record lateral differences with regards to aspect and canopy cover at approximately 2250 and 2625m in elevation, where two meteorological stations are installed. Meteorological stations record air temperature, relative humidity, radiation, precipitation, wind speed and direction, and snow depth. Data are available at hourly intervals by water year (1 October–30 September) in non-proprietary formats from online data repositories ( https://doi.org/10.6071/M3S94T).

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Southern Sierra Critical Zone Observatory (SSCZO), Wolverton Creek meteorological data, soil moisture and temperature R. Bales, E. Stacy, M. Meadows, P. Kirchner, M. Conklin, and X. Meng https://doi.org/10.6071/M3S94T

Roger C. Bales et al.
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This 2006–2016 record of snow depth, soil moisture and soil temperature, and meteorological data quantifies the hydrologic inputs and storage in the mostly undeveloped Wolverton catchment (2180–2750 m) in Sequoia National Park. Two meteorological stations were installed, along with clustered sensors that recorded lateral differences in water balance with regard to aspect and canopy cover at approximately 2250 and 2625 m, just above the current rain-snow transition elevation.
This 2006–2016 record of snow depth, soil moisture and soil temperature, and meteorological data...
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