Spatial and temporal variations of surface albedo on Haut Glacier d'Arolla,
Switzerland, during the 1993 and 1994 ablation seasons are described. Corr
elation and regression analyses are used to explain the albedo variations i
n terms of independent meteorological and surface property variables. Param
eterizations are developed which allow estimation of albedo variation in su
rface energy-balance models. Snow albedo is best estimated from accumulated
daily maximum temperatures since snowfall. On "deep" snow (greater than or
equal to0.5 cm we. depth) a logarithmic function is used, while on "shallo
w" snow (<0.5 cm w.e, depth) an exponential function is used to enable the
albedo to decay to the underlying ice or debris albedo. The transition from
"deep" to "Shallow" snow is calculated as a function of decreasing snow de
pth (combined r(2) = 0.65). This new parameterization performs better than
earlier schemes because accumulated daily maximum temperatures since snowfa
ll correlate strongly with snow grain-size and impurity concentration, the
main physical controls on snow albedo. Ice albedo may be parameterized by i
ts relationship to elevation (r(2) = 0.28), but this approach results in on
ly a small improvement over the assumption of a constant mean ice albedo.