A Meteorological and Snow observational data set from Snoqualmie Pass (921 m), Washington Cascades, U.S.

We introduce a quality controlled observational atmospheric, snow, and soil data set from Snoqualmie Pass, Washington, U.S.A., to enable testing of hydrometeorological and snow process representations within a rain-snow transitional climate where existing observations are sparse and limited. Continuous meteorological forcing (including air temperature, total precipitation, wind speed, specific humidity, air pressure, short- and longwave irradiance) are provided at hourly intervals for a 24-year historical period (water years 1989-2012) and at half-hourly intervals for a more-recent period (water years 2013-2015), separated based on the availability of observations. Additional observations include 40-years of snow board new snow accumulation, multiple measurements of total snow depth, and manual snow pits, while more recent years include sub-daily surface temperature, snowpack drainage, soil moisture and temperature profiles, and eddy co-variance derived turbulent heat flux. This data set is ideal for testing hypotheses about energy balance, soil and snow processes in the rain-snow transition zone. Plots of live data can be found here: http://depts.washington.edu/mtnhydr/cgi/plot.cgi

Causes of variability in light absorption by particles in snow at sites in Idaho and Utah.

This file accompanies “NAmer2014SnowBC_Dohertyetal_v1.xlsx”, which contains data on black carbon (BC) and other light-absorbing particles in snow in Utah and Idaho, for samples collected January-March 2014 in Jan/Feb 2013 and 2014 in Utah. Data are available as an Excel file with headers, or as a comma-separated data file, with no headers. There is one entry per layer of snow sampled. All entries (other than column titles in the .xlsx) are numeric. Detailed information on our measurements can be found in a series of publications, as given below.  Description of the instrument and method used to make the measurements: Grenfell, T. C., S. J. Doherty, A. D. Clarke, and S. G. Warren, Spectrophotometric determination of absorptive impurities in snow, Appl. Opt., 50(14), pp.2037-2048, 2011.  Summary and discussion of dataset “NAmer2014SnowBC_Dohertyetal.xlsx”, including maps of sample locations: Doherty, S. J., D. A. Hegg, P. K. Quinn, J. E. Johnson, J. P. Schwarz, C. Dang and S. G. Warren, Causes of variability in light absorption by particles in snow at sites in Idaho and Utah, J. Geophys. Res. Atmos., 121, doi:10.1002/2015JD024375, 2016. Note that the measurement and analysis techniques used to produce these data were also used in a broad Arctic survey (2006-2010) of BC and other light-absorbing particles snow, as reported here: Doherty, S. J., S. G. Warren, T. C. Grenfell, A. D. Clarke, and R. E. Brandt: Light-absorbing impurities in Arctic snow, Atmos. Chem. Phys., 10, 11647-11680, doi:10.5194/acp-10-11647-2010, 2010. http://www.atmos-chem-phys.net/10/11647/2010/acp-10-11647-2010.html

Quantifying and Modeling the Influence of Forest on the Magnitude and Duration of Mountain Snow Storage in the Pacific Northwest, USA

Thesis (Ph.D.)--University of Washington, 2016-08