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Oehri, Jacqueline; Schaepman-Strub, Gabriela; Kim, Jin-Soo; Grysko, Raleigh; Kropp, Heather; Grünberg, Inge; Zemlianskii, Vitalii; Sonnentag, Oliver; Euskirchen, Eugénie S; Reji Chacko, Merin; Muscari, Giovanni; Blanken, Peter D; Dean, Joshua F; di Sarra, Alcide; Harding, Richard J; Sobota, Ireneusz; Kutzbach, Lars; Plekhanova, Elena; Riihelä, Aku; Boike, Julia; Miller, Nathaniel B; Beringer, Jason; López-Blanco, Efrén; Stoy, Paul C; Sullivan, Ryan C; Kejna, Marek; Parmentier, Frans-Jan W; Gamon, John A; Mastepanov, Mikhail; Wille, Christian; Jackowicz-Korczynski, Marcin; Karger, Dirk N; Quinton, William L; Putkonen, Jaakko; van As, Dirk; Christensen, Torben R; Hakuba, Maria Z; Stone, Robert S; Metzger, Stefan; Vandecrux, Baptiste; Frost, Gerald V; Wild, Martin; Hansen, Birger Ulf; Meloni, Daniela; Domine, Florent; te Beest, Mariska; Sachs, Torsten; Kalhori, Aram; Rocha, Adrian V; Williamson, Scott N; Morris, Sara; Atchley, Adam L; Essery, Richard; Runkle, Benjamin R K; Holl, David; Riihimaki, Laura; Iwata, Hiroki; Schuur, Edward A G; Cox, Christopher J; Grachev, Andrey A; McFadden, Joseph P; Fausto, Robert S; Göckede, Mathias; Ueyama, Masahito; Pirk, Norbert; de Boer, Gijs; Bret-Harte, M Syndonia; Leppäranta, Matti; Steffen, Konrad; Friborg, Thomas; Ohmura, Atsumu; Edgar, Colin W; Olofsson, Johan; Chambers, Scott D (2022): Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.949792

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Abstract:
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.
Keyword(s):
Arctic; 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
Related to:
Further details:
Oehri, Jacqueline (2022): Vegetation Type is an Important Predictor of the Arctic Summer Land Surface Energy Budget: Code exemplifying the data aggregation process. Zenodo, https://doi.org/10.5281/zenodo.7125844
Raynolds, Martha K; Walker, Donald A; Balser, Andrew; Bay, Christian; Campbell, Mitch; Cherosov, Mikhail M; Daniëls, Frederikus J A; Eidesen, Pernille Bronken; Ermokhina, Ksenia A; Frost, Gerald V; Jedrzejek, Birgit; Jorgenson, M Torre; Kennedy, Blair E; Kholod, Sergei S; Lavrinenko, Igor A; Lavrinenko, Olga V; Magnússon, Borgþór; Matveyeva, Nadezhda V; Metúsalemsson, Sigmar; Nilsen, Lennart; Pospelov, Igor N; Pospelova, Vera; Pouliot, Darren; Razzhivin, Vladimir; Schaepman-Strub, Gabriela; Šibík, Jozef; Telyatnikov, Mikhail Yu; Troeva, Elena I (2019): A raster version of the Circumpolar Arctic Vegetation Map (CAVM). Remote Sensing of Environment, 232, 111297, https://doi.org/10.1016/j.rse.2019.111297
Project(s):
Funding:
Universität Zürich (UZH), grant/award no. 178753
Coverage:
Median Latitude: 69.741831 * Median Longitude: -113.847888 * South-bound Latitude: 60.116667 * West-bound Longitude: 17.083333 * North-bound Latitude: 81.990000 * East-bound Longitude: -24.082800
Date/Time Start: 1994-01-01T00:00:00 * Date/Time End: 2022-01-01T00:00:00
Comment:
Code underlying the dataset and publication is available in a Github repository and can be accessed at: https://github.com/oehrij/ArcticSEBSynthesis
Size:
4 datasets

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