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  • Arctic; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; dry tundra; Eddy covariance; eddy heat flux; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Land-Atmosphere; Land-cover; latent and sensible heat; latent heat flux; longwave radiation; meteorological data; observatory data; Peat bog; Radiation fluxes; Radiative energy budget; sensible heat flux; shortwave radiation; shrub tundra; surface energy balance; synthetic data; tundra vegetation; wetland  (1)
  • biogeochemistry; CACOON; Carbon; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; herbivory; PeCHEc; sediment; Siberian permafrost; terrestrial carbon  (1)
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  • 1
    Publication Date: 2023-11-06
    Description: These five cores were obtained from a terrestrial permafrost area in northeastern Siberia (U1: March 2019; B3, B2, B1, U3: July 2019) during the Chersky 2019 field campaign. This campaign was part of both the CACOON and the PeCHEc project and was based at the Northeast Science Station in Chersky, Sakha, Russia (RU-LAND-2019/CHERSKIY; 02.07.2019 - 19.07.2019). They were taken from the area of the Pleistocene Park experiment (Zimov, 2005; doi:10.1126/science.1113442) and cover areas of a drained thermokarst lake basin (B) as well as the adjacent Yedoma uplands (U). The cores were drilled in areas of different large herbivore impact intensities (3= intensive; 2= extensive; 1= no animal presence). The data are used in a study exermining the impact of large herbivore presence on permafrost stability, vegetation composition and ground carbon storage. The active layer was sampled excavating profiles with a spade using fixed volume cylinders on the profile wall (250 ccm). The frozen ground was sampled using a SIPRE permafrost auger with a Stihl motor. All samples taken from these cores were analyzed between January 2020 and March 2021 at the facilities of AWI. The samples were analyzed for water/ice content, water isotopes, pH, conductivity, DOC, TC, TN, TOC, δ13C, mass specific magnetic susceptibility, grain size composition and radiocarbon age. Water/ice content was derived from weight differences before and after freeze-drying the samples. Water isotope ratios (δ18O, δ2H, d excess), pH, conductivity and DOC were measured using pore water extracted from the sediment samples using Rhizone samplers. Water isotopes were measured at AWI Potsdam Stable Isotope Laboratory using a Finnigan MAT Delta-S mass spectrometer. DOC was measured at AWI Potsdam Hydrochemistry Laboratory using a Shimadzu TOC-V CPH Total Organic Carbon Analyzer. TC and TN were measured at AWI Potsdam CARLA Laboratory using a vario EL III Element Analyzer. TOC was measured at the same laboratory using a varioMAX C Element Analyzer. δ13C was measured at AWI Potsdam Stable Isotope Laboratory using a Delta V Advantage Isotope Ratio MS supplement equipped with a Flash 2000 Organic Elemental Analyzer. Mass specific magnetic susceptibility was measured using a Bartington MS-2 Magnetic Susceptibility System. Grain size composition was determined using a Malvern Mastersizer 3000 equipped with a Malvern Hydro LV wet-sample dispersion unit. Statistics were calculated for this using Gradistat 8.0. Radiocarbon dating was carried out using the Mini Carbon Dating System (MICADAS) at AWI Bremerhaven.
    Keywords: biogeochemistry; CACOON; Carbon; Changing Arctic Carbon cycle in the cOastal Ocean Near-shore; herbivory; PeCHEc; sediment; Siberian permafrost; terrestrial carbon
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-06-08
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In-situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. Therefore, we here provide four datasets comprising: 1. Harmonized, standardized and aggregated in situ observations of SEB components at 64 vegetated and glaciated sites north of 60° latitude, in the time period 1994-2021 2. A description of all study sites and associated environmental conditions, including the vegetation types, which correspond to the classification of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). 3. Data generated in a literature synthesis from 358 study sites on vegetation or glacier (〉=60°N latitude) covered by 148 publications. 4. Metadata, including data contributor information and measurement heights of variables associated with Oehri et al. 2022.
    Keywords: Arctic; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; dry tundra; Eddy covariance; eddy heat flux; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Land-Atmosphere; Land-cover; latent and sensible heat; latent heat flux; longwave radiation; meteorological data; observatory data; Peat bog; Radiation fluxes; Radiative energy budget; sensible heat flux; shortwave radiation; shrub tundra; surface energy balance; synthetic data; tundra vegetation; wetland
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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