Hydrological, meteorological observations and isotopes sampling results during 2019-2020 at Djankuat Glacier Station in the North Caucasus, Russia

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Autori principali: Rets, Ekaterina P, Popovnin, Viktor V, Toropov, Pavel A, Tsyplenkov, Anatoly, Kornilova, Ekaterina D, Durmanov, Ivan, Zheleznova, Irina, Aleshina, Maria A, Poliukhov, Alexey, Gubanov, Afanasy, Kireeva, Maria B, Ekaykin, Alexey A, Kozachek, Anna V, Veres, Arina N, Khomiakova, Victoria, Yarinich, Yulia
Natura: Dataset Open Access
Lingua:en
Pubblicazione: PANGAEA 2022
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author Rets, Ekaterina P
Popovnin, Viktor V
Toropov, Pavel A
Tsyplenkov, Anatoly
Kornilova, Ekaterina D
Durmanov, Ivan
Zheleznova, Irina
Aleshina, Maria A
Poliukhov, Alexey
Gubanov, Afanasy
Kireeva, Maria B
Ekaykin, Alexey A
Kozachek, Anna V
Veres, Arina N
Khomiakova, Victoria
Yarinich, Yulia
author_facet Rets, Ekaterina P
Popovnin, Viktor V
Toropov, Pavel A
Tsyplenkov, Anatoly
Kornilova, Ekaterina D
Durmanov, Ivan
Zheleznova, Irina
Aleshina, Maria A
Poliukhov, Alexey
Gubanov, Afanasy
Kireeva, Maria B
Ekaykin, Alexey A
Kozachek, Anna V
Veres, Arina N
Khomiakova, Victoria
Yarinich, Yulia
collection Datos científicos de ciencias marinas y ambientales
contents This is an update of a dataset on the long-term complex glaciological, hydrological, meteorological observations and isotopes sampling in an extremely underreported alpine zone of the North Caucasus. The Djankuat research basin is of 9.1 km2, situated on elevations between 2500 – 4000 m, by 30% covered with glaciers. The biggest in the basin Djankuat glacier was chosen as representative of the central North Caucasus during the International Hydrological Decade and is one of 30 'reference' glaciers in the world that have annual mass-balance series longer than 50 years (Zemp et al, 2009). The original dataset covers 2007-2017, this update - 2019-2020. In total, the dataset contains the result of yearly measurements of snow thickness and density; dynamics of snow and ice melting; measurements of water runoff, conductivity, turbidity, temperature, δ18O, δ2H on the main gauging station with a one-hour or several-hours step depending on the parameter; data on δ18O and δ2H sampling of liquid precipitation, snow, ice, firn, groundwater in different parts of the watershed regularly in time during the melting season; precipitation amount, air temperature, relative humidity, shortwave incoming and reflected radiation, longwave downward and upward radiation, atmospheric pressure, wind speed and direction – measured on several automatic weather stations within the basin with 15 min – one-hour step; gradient meteorological measurements to estimate turbulent fluxes of heat and moisture, measuring three components of wind speed at a frequency of 10 hertz to estimate the turbulent impulse heat fluxes over the glacier surface by the eddy covariance method. The observations were held during ablation period June-October and were interrupted in winter. The dataset will be further updated. The dataset can be useful for developing and verifying hydrological, glaciological and meteorological models for high elevation territories, to study impact of climate change on hydrology of mountain regions, using isotopic and hydrochemical approaches to study mountain territories.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_940839
institution PANGAEA
language en
publishDate 2022
publisher PANGAEA
record_format pangaea
spellingShingle Hydrological, meteorological observations and isotopes sampling results during 2019-2020 at Djankuat Glacier Station in the North Caucasus, Russia
Rets, Ekaterina P
Popovnin, Viktor V
Toropov, Pavel A
Tsyplenkov, Anatoly
Kornilova, Ekaterina D
Durmanov, Ivan
Zheleznova, Irina
Aleshina, Maria A
Poliukhov, Alexey
Gubanov, Afanasy
Kireeva, Maria B
Ekaykin, Alexey A
Kozachek, Anna V
Veres, Arina N
Khomiakova, Victoria
Yarinich, Yulia
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; precipitation isotopes; Radiation fluxes; research catchment; Russia
This is an update of a dataset on the long-term complex glaciological, hydrological, meteorological observations and isotopes sampling in an extremely underreported alpine zone of the North Caucasus. The Djankuat research basin is of 9.1 km2, situated on elevations between 2500 – 4000 m, by 30% covered with glaciers. The biggest in the basin Djankuat glacier was chosen as representative of the central North Caucasus during the International Hydrological Decade and is one of 30 'reference' glaciers in the world that have annual mass-balance series longer than 50 years (Zemp et al, 2009). The original dataset covers 2007-2017, this update - 2019-2020. In total, the dataset contains the result of yearly measurements of snow thickness and density; dynamics of snow and ice melting; measurements of water runoff, conductivity, turbidity, temperature, δ18O, δ2H on the main gauging station with a one-hour or several-hours step depending on the parameter; data on δ18O and δ2H sampling of liquid precipitation, snow, ice, firn, groundwater in different parts of the watershed regularly in time during the melting season; precipitation amount, air temperature, relative humidity, shortwave incoming and reflected radiation, longwave downward and upward radiation, atmospheric pressure, wind speed and direction – measured on several automatic weather stations within the basin with 15 min – one-hour step; gradient meteorological measurements to estimate turbulent fluxes of heat and moisture, measuring three components of wind speed at a frequency of 10 hertz to estimate the turbulent impulse heat fluxes over the glacier surface by the eddy covariance method. The observations were held during ablation period June-October and were interrupted in winter. The dataset will be further updated. The dataset can be useful for developing and verifying hydrological, glaciological and meteorological models for high elevation territories, to study impact of climate change on hydrology of mountain regions, using isotopic and hydrochemical approaches to study mountain territories.
title Hydrological, meteorological observations and isotopes sampling results during 2019-2020 at Djankuat Glacier Station in the North Caucasus, Russia
topic 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; precipitation isotopes; Radiation fluxes; research catchment; Russia
url https://doi.org/10.1594/PANGAEA.940839