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PANGAEA.
Data Publisher for Earth & Environmental Science

Pavlyukevich, Ekaterina; Popovnin, Viсtor; Gubanov, Afanasy; Ivanov, Viсtor; Averina, Alena; Ibraev, Kirill; Voevodina, Anastasia; Durmanov, Ivan; Khomiakova, Victoria; Chizhova, Julia N; Kozachek, Anna V; Ekaykin, Alexey A; Tsyplenkov, Anatoly; Zheleznova, Irina (2026): Snow height measurements in the spatially distributed net in the Djankuat research basin from 2019-2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.989859, In: Pavlyukevich, E et al. (2026): Hydrological, meteorological and glaciological observations and isotopes sampling results during 2021-2024 (glaciological data from 2019-2020 included) at Djankuat Glacier Station in the North Caucasus, Russia [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.989847

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Published: 2026-02-19DOI registered: 2026-03-20

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Abstract:
This is the second update of a dataset comprising long-term complex glaciological, hydrological, and meteorological observations, including isotope sampling, from the highly underreported alpine zone of the North Caucasus, described in Rets et al., 2019 (https://doi.org/10.5194/essd-11-1463-2019). The data were collected in the Djankuat research basin (9.1 km², elevations of 2500–4000 m, 30% glacier cover). The Djankuat glacier, located in the basin under study, is a World Meteorological Organization reference glacier with a mass-balance record exceeding 50 years. The original dataset covers 2007-2017 (https://doi.org/10.1594/PANGAEA.894807), with the first update for 2019-2020 (https://doi.org/10.1594/PANGAEA.940839). This second update extends the series to 2021-2024. It also includes previously unpublished data of glacier ablation, snow height, and snow density measurements in the spatially distributed net for the 2019-2020 period. A significant enhancement since 2021 is the operation of an additional year-round hydrological gauging station on the Djankuat River 1 km downstream of the main one. The dataset includes results from annual measurements of snow thickness and density; snow and ice melt dynamics; water runoff, conductivity, turbidity, temperature, δ¹⁸O, and δ²H at gauging stations; isotopic sampling of precipitation, snow, ice, firn, and groundwater; and high-resolution meteorological data (precipitation, air temperature, humidity, radiation, pressure, wind). The observations were primarily conducted during the summer ablation seasons (June-October), with gradient and eddy covariance measurements for turbulent flux estimation. This dataset is invaluable for developing and validating hydrological, glaciological, and meteorological models, assessing climate change impacts on mountain hydrology, and applying isotopic methods in high-altitude research. The dataset will be periodically updated.
The research was supported by Russian Science Foundation, grant no. 25-77-10049 (in part of hydrological observations), grant no. 22-17-00133 (in part of glaciological observations), and was carried out under the Governmental Order to Water Problems Institute, Russian Academy of Sciences, subject no. FMWZ-2025-0003 (in part of meteorological observations).
Keyword(s):
alpine catchment; catchment hydrology; Caucasus; Conductivity; Discharge; Djankuat; Glacial climate; Glacier Catchment; high-altitude; hydrological data; isotope composition; isotope data; Meteorological datasets; mountain catchment; mountain station; North Caucasus; precipitation; research catchment; Russia
Related to:
Rets, Ekaterina P; Popovnin, Viktor V; Toropov, Pavel A; Smirnov, Andrew M; Tokarev, Igor V; Chizhova, Julia N; Budantseva, Nadine A; Vasil'chuk, Yurij K; Kireeva, Maria B; Ekaykin, Alexey A; Veres, Arina N; Aleynikov, Alexander A; Frolova, Natalia L; Tsyplenkov, Anatolii S; Poliukhov, Aleksei A; Chalov, Sergey R; Aleshina, Maria A; Kornilova, Ekaterina D (2019): Djankuat glacier station in the North Caucasus, Russia: a database of glaciological, hydrological, and meteorological observations and stable isotope sampling results during 2007–2017. Earth System Science Data, 11(3), 1463-1481, https://doi.org/10.5194/essd-11-1463-2019
Funding:
Russian Academy of Sciences (RAS), grant/award no. FMWZ-2025-0003: Governmental Order to Water Problems Institute
Russian Science Foundation, grant/award no. 22-17-00133: Progressive escalation of the reduction of ice and water resources in the Caucasus: reality or myth?
Russian Science Foundation, grant/award no. 25-77-10049: Outburst hazard assessment of mountain glacial lakes of the Central Caucasus under climate change using modelling and machine learning methods
Coverage:
Median Latitude: 42.760206 * Median Longitude: 43.195225 * South-bound Latitude: 42.746320 * West-bound Longitude: 43.188340 * North-bound Latitude: 42.773880 * East-bound Longitude: 43.203780
Date/Time Start: 2019-06-05T00:00:00 * Date/Time End: 2020-07-03T00:00:00
Minimum Elevation: 2635.0 m * Maximum Elevation: 2635.0 m
Event(s):
Djankuat_Base * Latitude: 43.208000 * Longitude: 42.735000 * Elevation: 2635.0 m * Location: Russia * Method/Device: Multiple investigations (MULT)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Identification numberID noGubanov, Afanasystake (ablation measurement point) number
Snow heightSnow hmGubanov, Afanasy
DATE/TIMEDate/TimeGubanov, AfanasyGeocode
LATITUDELatitudeGubanov, AfanasyGeocode
LONGITUDELongitudeGubanov, AfanasyGeocode
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1870 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


ID no

Snow h [m]

Date/Time

Latitude

Longitude
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