biostudies-literatureOehri JSwiss National Science FoundationEuropean Commission6379https://www.ebi.ac.uk/biostudies/studies/S-EPMC9622844biostudies-literatureUnknown13(1)Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994-2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm^-2) relative tNature communicationsVegetation type is an important predictor of the arctic summer land surface energy budget.PMC9622844RIA #869471184131178753193907Grysko RMuscari GDean JFKejna MStone RSOehri JRunkle BRKReji Chacko MRiihimaki LDOlofsson JSchuur EAGParmentier FWBeringer JWille CTe Beest MGockede MKalhori APlekhanova EBoike JRocha AVRiihela AKim JSSteffen KHarding RJdi Sarra ADomine FGamon JAKropp HCox CJZemlianskii VMetzger SPirk NGrachev AAFriborg TSonnentag OEuskirchen ESde Boer GEssery Rvan As DHakuba MZMorris SSullivan RCEdgar CWOhmura AWilliamson SNBret-Harte MSLopez-Blanco EHoll DMcFadden JPStoy PCHansen BUeyama MQuinton WLFrost GVSchaepman-Strub GPutkonen JChambers SDGrunberg IKutzbach LMiller NBIwata HMastepanov MMeloni DBlanken PDAtchley ALWild MKarger DNFausto RSChristensen TRSachs TSobota ILepparanta MJackowicz-Korczynski MVandecrux BfalseVegetation type is an important predictor of the arctic summer land surface energy budget.Despite the importance of high-latitude surface energy budgets (SEBs) for land-climate interactions in the rapidly changing Arctic, uncertainties in their prediction persist. Here, we harmonize SEB observations across a network of vegetated and glaciated sites at circumpolar scale (1994-2021). Our variance-partitioning analysis identifies vegetation type as an important predictor for SEB-components during Arctic summer (June-August), compared to other SEB-drivers including climate, latitude and permafrost characteristics. Differences among vegetation types can be of similar magnitude as between vegetation and glacier surfaces and are especially high for summer sensible and latent heat fluxes. The timing of SEB-flux summer-regimes (when daily mean values exceed 0 Wm^-2) relative t2022-01-01T00:00:00Z2022 Oct2026-05-27T20:39:54.604Z2025-04-21T14:13:43.558ZS-EPMC96228443631631010.1038/s41467-022-34049-3