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B2FIND
Dataset . 2022
Data sources: B2FIND
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Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Metadata

Authors: orcid bw Oehri, Jacqueline;
Oehri, Jacqueline
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Oehri, Jacqueline in OpenAIRE
orcid bw Schaepman-Strub, Gabriela;
Schaepman-Strub, Gabriela
ORCID
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Schaepman-Strub, Gabriela in OpenAIRE
orcid bw Kim, Jin-Soo;
Kim, Jin-Soo
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Kim, Jin-Soo in OpenAIRE
Grysko, Raleigh; Kropp, Heather; orcid bw Grünberg, Inge;
Grünberg, Inge
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Grünberg, Inge in OpenAIRE
Zemlianskii, Vitalii; +67 Authors

Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Metadata

Abstract

List of Ameriflux, AON and FLUXNET sites contained in this dataset and their corresponding siteid's and doi's: CA-SCB (https://doi.org/10.17190/AMF/1498754), FI-Lom (https://doi.org/10.18140/FLX/1440228), GL-NuF (https://doi.org/10.18140/FLX/1440222), GL-ZaF (https://doi.org/10.18140/FLX/1440223), GL-ZaH (https://doi.org/10.18140/FLX/1440224), RU-Che (https://doi.org/10.18140/FLX/1440181), RU-Cok (https://doi.org/10.18140/FLX/1440182), RU-Sam (https://doi.org/10.18140/FLX/1440185), RU-Tks (https://doi.org/10.18140/FLX/1440244), RU-Vrk (https://doi.org/10.18140/FLX/1440245), SE-St1 (https://doi.org/10.18140/FLX/1440187), SJ-Adv (https://doi.org/10.18140/FLX/1440241), SJ-Blv (https://doi.org/10.18140/FLX/1440242), US-A03 (https://doi.org/10.17190/AMF/1498752), US-A10 (https://doi.org/10.17190/AMF/1498753), US-An1 (https://doi.org/10.17190/AMF/1246142), US-An2 (https://doi.org/10.17190/AMF/1246143), US-An3 (https://doi.org/10.17190/AMF/1246144), US-Atq (https://doi.org/10.17190/AMF/1246029), US-Brw (https://doi.org/10.17190/AMF/1246041), US-EML (https://doi.org/10.17190/AMF/1418678), US-HVa (https://doi.org/10.17190/AMF/1246064), US-ICh (https://doi.org/10.17190/AMF/1246133), US-ICs (https://doi.org/10.17190/AMF/1246130), US-ICt (https://doi.org/10.17190/AMF/1246131), US-Ivo (https://doi.org/10.17190/AMF/1246067), US-NGB (https://doi.org/10.17190/AMF/1436326), US-Upa (https://doi.org/10.17190/AMF/1246108), US-xHE (https://doi.org/10.17190/AMF/1617729), US-xTL (https://doi.org/10.17190/AMF/1617739).

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.This dataset contains metadata information about surface energy budget components measured at 64 tundra and glacier sites >60° N across the Arctic. This information was taken from the open-access repositories FLUXNET, Ameriflux, AON, GC-Net and PROMICE. The contained datasets are associated with the publication vegetation type as an important predictor of the Arctic Summer Land Surface Energy Budget by Oehri et al. 2022, and intended to support research of surface energy budgets and their relationship with environmental conditions, in particular vegetation characteristics across the terrestrial Arctic.

Keywords

eddy heat flux, meteorological data, Eddy covariance, Type of study, shrub tundra, Arctic, Last year of observation, Sample height, latent and sensible heat, Location ID, Unit, tundra vegetation, Description, graminoids, Arctic Tundra Surface Energy Budget (ArcticTundraSEB), Instrument, Aggregation type, Day of the year, sensible heat flux, wetland, Radiation fluxes, Author s, latent heat flux, dry tundra, Variable, Earth System Research, ground heat flux and net radiation, Radiative energy budget, Field observation, Data source, longwave radiation, Land cover, glacier, harmonized data, Arctic Tundra Surface Energy Budget ArcticTundraSEB, Author(s), Land Atmosphere, Date/Time of event, LONGITUDE, shortwave radiation, observatory data, surface energy balance, Event label, Institution, Land-cover, high latitude, synthetic data, Land-Atmosphere, First year of observation, Peat bog, Method comment, LATITUDE

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