Literature synthesis data of surface energy fluxes and environmental drivers from Arctic vegetation and glacier sites ...

• Main Authors: 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
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: Arctic; dry tundra; Eddy covariance; eddy heat flux; glacier; Glaciers; 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; wetlands; Event label; Type of study; LATITUDE; LONGITUDE; Date/Time of event; ELEVATION; Identification; Publication type; Authors; Title; Journal/report title; Year of publication; Persistent Identifier; First year of observation; Last year of observation; Season; Vegetation type; Location; Spatial coverage; Resolution; Data collection methodology; Energy budget, description; Tundra
• Online Access: https://dx.doi.org/10.1594/pangaea.949737; https://doi.pangaea.de/10.1594/PANGAEA.949737

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 describes the data generated in a literature synthesis, covering 358 study sites on vegetation or glacier (>=60°N latitude), which contained surface energy budget observations. The literature synthesis comprised 148 publications searched on the ISI Web of Science Core Collection. ...