4.7 Article

Interannual variability of snowmelt in the Sierra Nevada and Rocky Mountains, United States: Examples from two alpine watersheds

Journal

WATER RESOURCES RESEARCH
Volume 48, Issue -, Pages -

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2011WR011006

Keywords

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Funding

  1. NSF [EAR 1032308, 1032295, 0614207, 0724960, 0738780, 0738930]
  2. NASA [NNX08AH18G]
  3. USGS
  4. Niwot Ridge LTER program
  5. NSF's Boulder Creek Critical Zone Observatory
  6. Directorate For Geosciences
  7. Division Of Earth Sciences [0724960, 1032295, 0738780] Funding Source: National Science Foundation
  8. Division Of Earth Sciences
  9. Directorate For Geosciences [1032308, 0738930, 1239281] Funding Source: National Science Foundation
  10. NASA [101591, NNX08AH18G] Funding Source: Federal RePORTER

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The distribution of snow and the energy flux components of snowmelt are intrinsic characteristics of the alpine water cycle controlling the location of source waters and the effect of climate on streamflow. Interannual variability of these characteristics is relevant to the effect of climate change on alpine hydrology. Our objective is to characterize the interannual variability in the spatial distribution of snow and energy fluxes of snowmelt in watersheds of a maritime setting, Tokopah Basin (TOK) in California's southern Sierra Nevada, and a continental setting, Green Lake 4 Valley (GLV4) in Colorado's Front Range, using a 12 year database (1996-2007) of hydrometeorological observations and satellite-derived snow cover. Snowpacks observed in GLV4 exhibit substantially greater spatial variability than in TOK (0.75 versus 0.28 spatial coefficient of variation). In addition, modeling results indicate that the net turbulent energy flux contribution to snowmelt in GLV4 is, on average, 3 times greater in magnitude (mean 29% versus 10%) and interannual variability (standard deviation 17% versus 6%) than in TOK. These energy flux values exhibit strong seasonality, increasing as the melt season progresses to times later in the year (R-2 = 0.54-0.77). This seasonality of energy flux appears to be associated with snowmelt rates that generally increase with onset date of melt (0.02 cm d(-2)). This seasonality in snowmelt rate, coupled to differences in hydrogeology, may account for the observed differences in correspondence between the timing of snowmelt and timing of streamflow in these watersheds.

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