Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-114
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Review article
16 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).
Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
Edward H. Bair1, Robert E. Davis2, and Jeff Dozier3 1Earth Research Institute, University of California, Santa Barbara, CA 93106-3060, USA
2Cold Regions Research and Engineering Laboratory, Hanover, NH 03755, USA
3Bren School of Environmental Science & Management, University of California, Santa Barbara, CA 93106-5131, USA
Abstract. The mass and energy balance of the snowpack govern its evolution. Direct measurement of these fluxes is essential for modeling the snowpack, yet there are few sites where all the relevant measurements are taken. Mammoth Mountain CA USA is home to the Cold Regions Research and Engineering Laboratory and University of California – Santa Barbara Energy Site (CUES), one of five energy balance monitoring sites in the Western US. There is a ski patrol study site on Mammoth Mountain, called the Sesame Street Snow Study Plot, with automated snow and meteorological instruments where new snow is hand weighed to measure its water content. For this dataset, we present a clean and continuous hourly record of selected measurements from both sites covering the 2011–2017 water years which can be used to run a variety of snow models. The 2011–2017 period was marked by exceptional variability in precipitation, even for an area that has high year-to-year variability. The driest year on record, and one of the wettest years, occurred during this time period, making it ideal for studying climatic extremes. This dataset complements a previously published dataset from CUES containing a smaller subset of daily measurements. In addition to the hand weighed SWE, novel measurements include hourly broadband snow albedo corrected for terrain and other measurement biases. This dataset is available with Digital Object Identifier: https://doi.org/10.21424/r4159q.

Citation: Bair, E. H., Davis, R. E., and Dozier, J.: Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-114, in review, 2017.
Edward H. Bair et al.
Edward H. Bair et al.

Data sets

Model ready fully filtered datasets from CUES
E. Bair, R. E. Davis, and J. Dozier
https://doi.org/10.21424/R4159Q
Edward H. Bair et al.

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The mass and energy balance of the snowpack govern its evolution. Here, we present a fully filtered and model-ready dataset containing a continuous hourly record of selected measurements from two sites on Mammoth Mountain, CA USA. These measurements can be used to run a variety of snow models and complement a previously published dataset. In addition to hand weighed snow water equivalent, novel measurements include hourly snow albedo corrected for terrain and other measurement biases.
The mass and energy balance of the snowpack govern its evolution. Here, we present a fully...
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