While the capability of global and regional climate models in reproducingcurrent climate has significantly improved over the past few years, theconfidence in model results for remote regions, or those where complexorography is a dominant feature, is still relatively low. This is, in part,linked to the lack of observational data for model verification andintercomparison purposes.
Glacier and permafrost observations are directly related to past and presentenergy flux patterns at the Earth-atmosphere interface and could be used asa proxy for air temperature and precipitation, particularly of value inremote mountain regions and boreal and Arctic zones where instrumentalclimate records are sparse or non-existent. It is particularly important toverify climate-model performance in these regions, as this is where mostgeneral circulation models (GCMs) predict the greatest changes in airtemperatures in a warmer global climate.
Existing datasets from glacier and permafrost monitoring sites in remote andhigh altitudes are described in this paper; the data could be used inmodel-verification studies, as a means to improving model performance inthese regions.