Tritiated water was evaluated and used for determining snow and water intake by cattle. This method yielded results comparable to those obtained via simultaneous gravimetric measurement of snow and liquid water intake after adjustments were made for preformed and metabolic water from feed; the correlation coefficient was .96 and the standard error of the estimate was +/- 1.28 kg/day, or +/- 5.8...

Remote sensing of light-absorbing particles (LAPs), or dark colored impurities, such as black carbon (BC) and dust on snow, is a key remaining challenge in cryospheric surface characterization and application to snow, ice, and climate models. We present a quantitative data set of in situ snow reflectance, measured and modeled albedo, and BC and trace element concentrations from clean to heavily...

Within the context of developing data inversion and assimilation techniques for C-band backscatter over sea ice, snow physical models may be used to drive backscatter models for comparison and optimization with satellite observations. Such modeling has the potential to enhance understanding of snow on sea-ice properties required for unambiguous interpretation of active microwave imagery. An end...

Snow aging causes reflectance to vary significantly on timescales of days. This variability influences the strength of snow-albedo feedback, and can affect the timing of snowmelt. However, climate models have yet to incorporate important controls on snow aging and albedo evolution. We develop a physically-based model that predicts evolution of dry, pure-snow specific surface area, and apply asp...

We present Ku-band backscatter signatures of snow for applications to global snow monitoring with NASA Scatterometer (NSCAT) on the ADEOS satellite and the SeaWinds scatterometer on the QuikSCAT satellite. We carried out the 1999 Alaska Snow Experiment to study the relation between Ku-band backscatter and snow physical properties. The experimental results are applied to interpret backscatter da...

It is difficult and time consuming to use traditional measurement methods to estimate the physical properties of snow. However, the emergence of hyperspectral imagery for estimating the physical properties of snow provides a powerful tool. Snow albedo, grain size, and temperature are important factors for evaluating the surface energy balance. Using the spectrum-reflection curves of the differe...

Runoff in glacierized alpine basins results from the seasonal snow cover and from the glacier melt. Due to high resolution satellite sensors, it is possible to map snow cover and glacier areas in the basin of Massa-Blatten, 196 km2, 1447 4191 m a.s.l. Depletion curves of snow covered areas were derived in six elevation zones. In addition, the date was determined when the glacierice became expos...

The Snow and Ice Research Center (SIRC) of the National Research Institute for Earth Science and Disaster Prevention (NIED) of Japan has been developing a snow disaster forecasting system. This system consists of an atmospheric mesoscale model NHM, the numerical snow cover model SNOWPACK, and three diagnostic models of snow disasters. In this paper, the performance of NHM and SNOWPACK is invest...

Variations in the strength of the current spring snow albedo feedback (SAF) over Northern Hemisphere land surfaces (NH) explain over one third of the 21 century temperature response to anthropogenic forcings in this region within global circulation model (GCM) projections. Observation based estimates of controls on SAF are needed to constrain the snow and albedo parameterizations in these model...

This paper reports on the radiometric calibration and the use of calibrated intensity data in applications related to snow cover monitoring with a terrestrial laser scanner (TLS). An application of the calibration method to seasonal snow cover change detection is investigated. The snow intensity from TLS data was studied in Sodankylä, Finland during the years 2008-2009 and in Kirkkonummi, Finla...