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Due to the sparseness of discharge measurements and the variability between catchments in the pan-arctic drainage basin, hydrologic modeling must play a strong role in estimations of the spatial and temporal (seasonal and interannual) variability of land surface hydrologic states and fluxes.

We report a 20-year (1979-98) run of the Variable Infiltration Capacity (VIC) macroscale hydrologic model, over the pan-arctic land domain.

We also compare VIC prognostic variables with observations and NCEP/NCAR reanalysis where and when possible.

Situated between the North Atlantic and the Greenland ice sheet, the thousands of lakes in the Kangerlussuaq area of West Greenland (67°N) present excellent targets for paleoclimate studies.

For the 20-year simulation period, VIC was applied over a 50 km by 50 km Lambert Equal-Area (EASE) grid projection.

We examine interannual variability in pan-arctic water and energy balances, as well as various partitions thereof at continental and major river basin scales.

We seek to develop a model that will allow better prediction of climate-induced changes in the hydrologic cycle particularly at local scales.

This will be accomplished by incorporating an understanding of both the sociocognitive and biophysical drivers and feedbacks mediated by human systems.

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Changes in the hydrologic cycle will affect both the presence of surface water and the thermal balance in soil.

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