标题：Djankuat glacier station in the North Caucasus, Russia a database of glaciological, hydrological, and meteorological observations and stable isotope sampling results during 2007–2017
摘要：Abstract. This study presents a dataset on long-termmultidisciplinary glaciological, hydrological, and meteorological observationsand isotope sampling in a sparsely monitored alpine zone of the NorthCaucasus in the Djankuat research basin. The Djankuat glacier, which is thelargest in the basin, was chosen as representative of the central NorthCaucasus during the International Hydrological Decade and is one of 30“reference” glaciers in the world that have annual mass balance serieslonger than 50 years (Zemp et al., 2009). The dataset features acomprehensive set of observations from 2007 to 2017 and contains yearly measurements of snow depth and density; measurements of dynamics of snow and ice melting; measurements of water runoff, conductivity, turbidity, temperature, δ18O,δD at the main gauging station (844 samples in total) with an hourlyor sub-daily time step depending on the parameter; data on δ18Oand δ2H sampling of liquid precipitation, snow, ice, firn, andgroundwater in different parts of the watershed taken regularly duringmelting season (485 samples in total); measurements of precipitation amount, airtemperature, relative humidity, shortwave incoming and reflected radiation,longwave downward and upward radiation, atmospheric pressure, and wind speed anddirection – measured at several automatic weather stations within the basinwith 15 min to 1 h time steps; gradient meteorological measurements toestimate turbulent fluxes of heat and moisture, measuring three componentsof wind speed at a frequency of 10 Hz to estimate the impulse ofturbulent fluxes of sensible and latent heat over the glacier surface by theeddy covariance method.Data were collected during the ablation period(June–September). The observations were halted in winter. The dataset isavailable from PANGAEA (https://doi.org/10.1594/PANGAEA.894807, Rets et al., 2018a) and will befurther updated. The dataset can be useful for developing and verifyinghydrological, glaciological, and meteorological models for alpine areas, tostudy the impact of climate change on hydrology of mountain regions usingisotopic and hydrochemical approaches in hydrology. As the dataset includesthe measurements of hydrometeorological and glaciological variables duringthe catastrophic proglacial lake outburst in the neighboring Bashkara valleyin September 2017, it is a valuable contribution to study lake outbursts.
