Mountain Hydrology Research Group Data
Permanent URI for this collectionhttps://digital.lib.washington.edu/handle/1773/25604
Our research goals are to understand spatial patterns of snow accumulation, snowmelt, and streamflow in complex terrain, particularly as they relate to changes in weather and climate.
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Item type: Item , Dataset for Bias Correction of Airborne Thermal Infrared Observations Over Forests Using Melting Snow(2019) Pestana, Steven; Lundquist, Jessica D.Thermal infrared and visible imagery from aircraft/UAS over two forested mountain sites with snow cover, and ground-based surface temperature and meteorological observations. See associated paper: Pestana, S., Chickadel, C.C., Harpold, A., Kostadinov, T.S., Pai, H., Tyler, S., Webster, C., Lundquist, J.D. (2019, in review for Water Resources Research), Bias Correction of Airborne Thermal Infrared Observations Over Forests Using Melting Snow.Item type: Item , Yosemite Hydroclimate Network: Distributed Stream and Atmospheric Data for the Tuolumne River Watershed and Surroundings(University of Washington, 2016-04-26) Lundquist, Jessica D.; Roche, Jim; Forrester, Harrison; Huggett, Brian; Moore, Courtney; Keenan, Eric; Perry, Gwyn; Cristea, Nicoleta; Henn, Brian; Lapo, Karl; McGurk, Bruce; Cayan, Daniel R.; Dettinger, MichaelRegions of complex topography and remote wilderness terrain have spatially-varying patterns of temperature and streamflow, but due to inherent difficulties of access, are often very poorly sampled. Here we present a dataset of distributed stream stage, streamflow, stream temperature, barometric pressure, air temperature, and relative humidity from the Tuolumne River Watershed in Yosemite National Park, Sierra Nevada, California, U.S.A. for water years 2002 to 2015, as well as a quality-controlled meteorological forcing timeseries for use in hydrologic modeling. Data unique to this paper were collected using low-visibility and low-impact installations for wilderness locations and can be used alone or as a critical supplement to ancillary datasets collected by cooperating agencies, referenced herein. This dataset provides a unique opportunity to understand spatial patterns and scaling of hydroclimatic processes in complex terrain and can be used to evaluate downscaling techniques or distributed modeling. The paper also provides an example methodology of how to conduct hydroclimatic monitoring in remote wilderness.Item type: Item , Observations of distributed snow depth and snow duration within diverse forest structures in a maritime mountain watershed(2015) Dickerson-Lange, Susan E.; Lutz, James A.; Gersonde, Rolf; Martin, Kael A.; Forsyth, Jenna E.; Lundquist, Jessica D.Spatially distributed snow depth and snow duration data were collected over two to four snow seasons during water years 2011-2014 in experimental forest plots within the Cedar River Municipal Watershed, 50 km east of Seattle, Washington, USA. These 40 m × 40 m forest plots, situated on the western slope of the Cascade Range, include un-thinned second-growth coniferous forest as control treatments, variable density thinned forests, forest gaps in which a 20 m diameter (approximately equivalent to one tree height) gap was cut in the middle of each plot, and old growth forest. Together, this publicly available dataset includes snow depth observations from manual snow courses, distributed snow duration observations from ground temperature sensors and time-lapse cameras, meteorological data collected at two open locations and three forested locations, and forest canopy data from airborne light detection and ranging (LiDAR) data and hemispherical photographs. These co-located snow, meteorological, and forest data have the potential to improve understanding of forest influences on snow processes, and provide a unique model-testing dataset for hydrological analyses in a forested, maritime watershed.Item type: Item , A Meteorological and Snow observational data set from Snoqualmie Pass (921 m), Washington Cascades, U.S.(University of Washington, 7/20/2015) Wayand, N. E.; Massmann, A.; Butler, C.; Keenan, E.; Stimberis, J.; Lundquist, J. D.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