Articles | Volume 371
Proc. IAHS, 371, 131–136, 2015
Proc. IAHS, 371, 131–136, 2015
12 Jun 2015
12 Jun 2015

Snowpack variability and trends at long-term stations in northern Colorado, USA

S. R. Fassnacht and M. Hultstrand

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Cited articles

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Bohr, G. S. and Aguado, E.: Use of April 1 SWE measurements as estimates of peak seasonal snowpack and total cold-season precipitation, Water Resour. Res., 37, 51–60, 2001.
Cayan, D. R.: Interannual climate variability and snowpack in the western United States, J. Climate, 9, 928–948, 1996.
Clow, D. W., Nanus, L., Verdin, K. L., and Schmidt, J.: Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA, Hydrol. Proc., 26, 2583–2591, 2012.
Deems, J. S., Fassnacht S. R., and Elder K. J.: Fractal distribution of snow depth from lidar data, J. Hydrometeorol., 7, 285–297, 2006.
Short summary
Snowpack properties vary over distance. Water resources managers use operational data to estimate streamflow, while scientists use snow data models to understand climate and hydrology. We suggest that there is the individual measurements in a snowcourse be used to address uncertainty. Further, over the long term trends may not be obvious but increasing and decreasing trends can exist over shorter time periods, as seen in Northern Colorado. Such trends mirror global temperature patterns.