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Discussion papers
https://doi.org/10.5194/essd-2018-102
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-102
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 10 Sep 2018

Review article | 10 Sep 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Climate, snow, and soil moisture data set for the Tuolumne and Merced River watersheds, California, USA

James W. Roche1,2, Robert Rice3, Xiande Meng3, Daniel R. Cayan4, Michael D. Dettinger5, Douglas Alden4, Sarina C. Patel6, Megan A. Mason7, Martha H. Conklin3, and Roger C. Bales3 James W. Roche et al.
  • 1Yosemite National Park, USDOI National Park Service, El Portal, CA, 95318, USA
  • 2Environmental Systems Graduate Group, University of California, Merced, CA, 95340, USA
  • 3Sierra Nevada Research Institute, University of California, Merced, Merced, CA, 95340, USA
  • 4Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, 92093, USA
  • 5US Geological Survey, Carson City, NV, 89701, USA
  • 6Earth and Plane tary Science, University of California, Berkeley, Berkeley, CA, 94720, USA
  • 7Department of Geosciences, Boise State University, Boise, ID, 83725, USA

Abstract. We present hourly climate data to force land surface process models and assessments over the Merced and Tuolumne watersheds in the Sierra Nevada, California, for the water year 2010–2014 period. Climate data (38 stations) includes temperature and humidity (23), precipitation (13), solar radiation (8), and wind speed and direction (8) spanning an elevation range of 333 to 2987m. Each data set contains raw data as obtained from the source (level 0), data that are serially continuous with noise and non-physical points removed (level 1), and, where possible, data that are gap-filled using linear interpolation or regression with a nearby station record (level 2). All stations chosen for this data set were known or documented to be regularly maintained and components checked and calibrated during the period. Additional time-series data included are available snow water equivalent records from automated stations (8) and manual snow courses (22), as well as distributed snow-depth and co-located soil-moisture measurements (2–6) from four locations spanning the rain-to-snow transition zone in the centre of the domain. Spatial data layers pertinent to snowpack modelling in this data set are basin polygons and 100-m resolution rasters of elevation, vegetation type, forest basal area, tree height, and forest canopy cover, transmissivity, and extinction coefficient. All data are available from online data repositories (https://doi.org/10.6071/M3FH3D).

James W. Roche et al.
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James W. Roche et al.
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Climate, snow, and soil moisture data set for the Tuolumne and Merced River watersheds, California, USA J. Roche, R. Rice, X. Meng, D. Cayan, M. Dettinger, D. Alden, S. Patel, M. Mason, M. Conklin, and R. Bales https://doi.org/10.6071/M3FH3D

James W. Roche et al.
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Latest update: 18 Nov 2018
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This paper summarizes climate, snow, and soil moisture data for the Tuolumne and Merced River watersheds in California, USA for water years 2010–2014. Climate data includes hourly air temperature and relative humidity, precipitation, wind speed and direction, and solar radiation. Snow depth and soil moisture at 3–6 points per site are available at four locations. Snow depth and water content are available from instrumented snow pillow sites and manual snow survey locations.
This paper summarizes climate, snow, and soil moisture data for the Tuolumne and Merced River...
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