Spatial and temporal variations of surface albedo on Haut Glacier d'Arolla, Switzerland, during the 1993 and 1994 ablation seasons are described. Correla- tion and regression analyses are used to explain the albedo variations in terms of independent meteorological and surface property variables. Parameterizations are developed which allow estimation of albedo variation in surface energy-balance models. Snow albedo is best estimated from accumulated daily maximum temperatures since snowfall. On ''deep'' snow(≥0.5 cm w. e. depth) a logarithmic function is used, while on ''shallow'' 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 snowdepth (combined r2 = 0.65). This newparameterization performs better than earlier schemes because accumulated daily maximum temperatures since snowfall correlate strongly with snow grain-size and impurity concentration, the main physical controls on snowalbedo. Ice albedo may be parameterized by its relationship to elevation (r = 0.28), but this approach results in only a small improvement over the assumption of a constant mean ice albedo.
The Journal of Glaciology is published six times per year. It accepts submissions from any discipline related to the study of snow and ice. All articles are peer reviewed. The Journal is included in the ISI Science Citation Index.