Noah P. Molotch

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Direct measurements of winter water loss due to sublimation were made in a sub-alpine forest in the Rocky Mountains of Colorado. Above-and below-canopy eddy covariance systems indicated substantial losses of winter-season snow accumulation in the form of snowpack (0Ð41 mm d 1) and intercepted snow (0Ð71 mm d 1) sublimation. The partitioning between these(More)
A spatially distributed snowmelt model was used to simulate pixel-specific daily snowmelt and snow water equivalent (SWE) over the Rio Grande headwaters (3,419 km 2). Melt flux estimates were coupled with three different time-series of snow covered area (SCA) observations from the Landsat Enhanced Thematic Mapper (ETM+), the Advanced Very High Resolution(More)
In spring 2001 and 2002 monthly snow surveys (i.e. April, May, and June) were undertaken to assess the spatial and temporal representativeness of snow water equivalent (SWE) values recorded at six snow telemetry (SNOTEL) stations in the Rio Grande headwaters. Snow depth data were interpolated using binary regression tree models and combined with snow(More)
Although many studies have investigated the effects of forest cover on streamflow and runoff, and several have examined the effects of canopy density on snowpack accumulation, the impacts of forest canopy density on spatial patterns of snowmelt input to catchments remain relatively underquantified. We performed an intensive snow depth and density survey(More)
We present a technique for in situ measurement of the vertical and spatial stratigraphic distribution of snow optical grain size with a coupled contact illumination probe and field spectroradiometer. Accurate measurements of optically equivalent grain size are critical for modeling of radiative properties of snow such as spectral albedo and microwave(More)
[1] We used remotely sensed snow cover data and a physically based snowmelt model to estimate the spatial distribution of energy fluxes, snowmelt, snow water equivalent, and snow cover extent over the different land cover types within the Green Lakes Valley, Front Range, Colorado. The spatially explicit snowpack model was coupled to the Alpine Hydrochemical(More)
The loss of snow cover and the initiation of streamflow are key triggers for both terrestrial and aquatic biota. Landscape-scale snowmelt and streamflow dynamics are difficult to estimate, however, because they integrate large spatial extents and can vary rapidly in time. Remotely sensed observations are often temporally discontinuous and point observations(More)
Snowpack temperatures from a subalpine forest below Niwot Ridge, Colorado, are examined with respect to atmospheric conditions and the 30-min above-canopy and subcanopy eddy covariance fluxes of sensible Q h and latent Q e heat. In the lower snowpack, daily snow temperature changes greater than 18C day 21 occurred about 1–2 times in late winter and early(More)
The distribution of forest cover exerts strong controls on the spatiotemporal distribution of snow accumulation and snowmelt. The physical processes that govern these controls are poorly understood given a lack of detailed measurements of snow states. In this study, we address one of many measurement gaps by using contact spectroscopy to measure snow(More)