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that defines a second point on <strong>the</strong> cone. The three points defining <strong>the</strong> shaped solution do not have<br />
to be <strong>the</strong>se specific ordinates because <strong>an</strong>y three points on <strong>the</strong> cone will define <strong>the</strong> shape; however,<br />
points near <strong>the</strong>se extremes are recommended. The fundamental shape of <strong>the</strong> solution domain c<strong>an</strong><br />
be used to help pl<strong>an</strong> snow me<strong>as</strong>urement networks. In <strong>the</strong> absence of model solutions,<br />
me<strong>as</strong>urements at a few key locations in a b<strong>as</strong>in might be used to define a cone shape <strong>an</strong>d provide<br />
<strong>an</strong> estimate of <strong>the</strong> snow properties for <strong>an</strong>y slope–azimuth combination of similar c<strong>an</strong>opy <strong>an</strong>d<br />
elevation. Locations in contr<strong>as</strong>ting c<strong>an</strong>opy or elevation c<strong>an</strong> define <strong>the</strong> ch<strong>an</strong>ge in cone dimension<br />
with <strong>the</strong>se environmental gradients.<br />
Ma<strong>the</strong>matics on <strong>the</strong> solution domains provides <strong>an</strong>o<strong>the</strong>r interpolation route. Our first application<br />
of <strong>the</strong> shaped solution domains will be to distribute snow depth <strong>an</strong>d density across <strong>the</strong> l<strong>an</strong>dscape<br />
of <strong>the</strong> Eth<strong>an</strong> Allen Firing R<strong>an</strong>ge near Jericho, Vermont, for a vehicle mobility model. Interpolating<br />
between <strong>the</strong> shaped solution domains of <strong>the</strong> 20 slope–azimuth–c<strong>an</strong>opy–elevation environments<br />
permits creation of a continuous snow property map across <strong>the</strong> l<strong>an</strong>dscape if continuous maps of<br />
each of <strong>the</strong> environmental variables are available (slope, azimuth, c<strong>an</strong>opy tr<strong>an</strong>smissivity, <strong>an</strong>d<br />
elevation). The forest map at Eth<strong>an</strong> Allen Firing R<strong>an</strong>ge is categorical, thus our forest component<br />
interpolation will also be categorical. O<strong>the</strong>r examples of solution domain ma<strong>the</strong>matics include<br />
snow density computations from snow water equivalent <strong>an</strong>d snow depth cones, <strong>an</strong>d melt rate<br />
calculations by differencing snow water equivalent cones over time. Equation 13 (with a shape<br />
correction to r=0 at <strong>the</strong> minimum axis) is a good approximation of <strong>the</strong> fundamental shape for our<br />
intended application. Additional model studies at shorter time steps to improve model consistency<br />
<strong>an</strong>d potentially refine <strong>the</strong> azimuths of <strong>the</strong> major axes are warr<strong>an</strong>ted. An equation that predicts r (Δ<br />
snow depth) <strong>as</strong> a function of z <strong>an</strong>d θ o will be developed for future applications (Melloh et al. in<br />
review).<br />
The shaped solution domains were developed to map snow properties in a hilly forested terrain<br />
typical of New Hampshire <strong>an</strong>d Vermont <strong>an</strong>d over a relatively small b<strong>as</strong>in. The method is likely to<br />
be useful in o<strong>the</strong>r situations, though adaptations are needed to deal with large b<strong>as</strong>ins, topographic<br />
shading, <strong>an</strong>d blowing snow. The presented method will not be especially useful on plains <strong>an</strong>d<br />
prairies where <strong>the</strong> topography is flat, <strong>an</strong>d where <strong>the</strong>re is signific<strong>an</strong>t blowing snow. Using a cone<br />
method over larger b<strong>as</strong>ins will require adaptations to account for latitudinal <strong>an</strong>d longitudinal<br />
meteorological gradients. The cone does not account for topographic shading, <strong>an</strong> import<strong>an</strong>t<br />
consideration in mountainous b<strong>as</strong>ins. Also of interest is how <strong>the</strong> cone shape ch<strong>an</strong>ges with<br />
ch<strong>an</strong>ging maximum sun <strong>an</strong>gle at lower <strong>an</strong>d higher latitudes. It is also import<strong>an</strong>t to recognize that<br />
<strong>the</strong> cone solutions represent me<strong>an</strong> snow properties, <strong>an</strong>d on <strong>an</strong>y given slope in <strong>the</strong> field <strong>the</strong>re will<br />
be variability about <strong>the</strong> me<strong>an</strong> due to microclimate <strong>an</strong>d local deposition.<br />
CONCLUSION<br />
A shaped solution domain w<strong>as</strong> identified for snow depth, water equivalent, <strong>an</strong>d density. The<br />
pinched-cone shape describes <strong>the</strong> differentiation of <strong>the</strong> snow properties with slope <strong>an</strong>d azimuth<br />
relative to <strong>the</strong> no-slope c<strong>as</strong>e represented by <strong>the</strong> vertex of <strong>the</strong> cone. The shaped solution domain is<br />
approximated by <strong>an</strong> <strong>an</strong>alytical equation with only two coefficients. A time series of snow<br />
properties over a snow se<strong>as</strong>on c<strong>an</strong> be described efficiently by a time series of three numbers: <strong>the</strong><br />
snow property for <strong>the</strong> no-slope c<strong>as</strong>e, <strong>an</strong>d <strong>the</strong> two coefficients. Interpolating between <strong>the</strong> shaped<br />
solution domains of slope–azimuth–c<strong>an</strong>opy–elevation environments permits creation of a<br />
continuous snow property map across <strong>the</strong> l<strong>an</strong>dscape if continuous maps of each of <strong>the</strong><br />
environmental variables are available (slope, azimuth, c<strong>an</strong>opy tr<strong>an</strong>smissivity, <strong>an</strong>d elevation).<br />
Knowledge of <strong>the</strong> shape of <strong>the</strong> solution domain c<strong>an</strong> be exploited to portray snow property<br />
differentiation across environments <strong>an</strong>d may lead to less model-intensive approaches of estimating<br />
snow properties across a l<strong>an</strong>dscape.<br />
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