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Distributed glacier surface melt models are often forced using air temperature fields that are either downscaled from climate models or reanalysis, or extrapolated from station measurements. Typically, the downscaling and/or extrapolation are performed using a constanttemperaturelapserate, which is often taken to be the free-air moist adiabatic lapse rate (MALR: 68‐78 Ck m 21 ). To explore the validity of this approach, the authors examined altitudinal gradients in daily mean air temperature along six transects across four glaciers in the Canadian high Arctic. The dataset includes over 58 000 daily averaged temperature measurements from 69 sensors covering the period 1988‐2007. Temperature lapse rates near glacier surfaces vary on bothdailyandseasonaltimescales,areconsistentlylowerthan theMALR(ablation seasonmean:4.98Ckm 21 ), and exhibit strong regional covariance. A significant fraction of the daily variability in lapse rates is associated with changes in free-atmospheric temperatures (higher temperatures 5 lower lapse rates). The temperature fields generated by downscaling point location summit elevation temperatures to the glacier surface using temporally variable lapse rates are a substantial improvement over those generated using the static MALR. Thesefindingssuggestthatlowernear-surfacetemperaturelapseratescanbeexpectedunderawarmingclimate and that the air temperature near the glacier surface is less sensitive to changes in the temperature of the free atmosphere than is generally assumed.

Near-Surface Temperature Lapse Rates over Arctic Glaciers and Their Implications for Temperature Downscaling