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Scaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approach

Jung, M.; Schwalm, C.; Migliavacca, M.; Walther, S.; Camps-Valls, G.; Koirala, S.; Anthoni, P.; Besnard, S.; Bodesheim, P.; Carvalhais, N.; Chevallier, F.; Gans, F.; S Goll, D.; Haverd, V.; Köhler, P.; Ichii, K.; K Jain, A.; Liu, J.; Lombardozzi, D.; E M S Nabel, J.; ... mehr

Abstract:
FLUXNET comprises globally distributed eddycovariance- based estimates of carbon fluxes between the biosphere and the atmosphere. Since eddy covariance flux towers have a relatively small footprint and are distributed unevenly across the world, upscaling the observations is necessary to obtain global-scale estimates of biosphere–atmosphere exchange. Based on cross-consistency checks with atmospheric inversions, sun-induced fluorescence (SIF) and dynamic global vegetation models (DGVMs), here we provide a systematic assessment of the latest upscaling efforts for gross primary production (GPP) and net ecosystem exchange (NEE) of the FLUXCOM initiative, where different machine learning methods, forcing data sets and sets of predictor variables were employed.
Spatial patterns of mean GPP are consistent across FLUXCOM and DGVM ensembles (R$^{2}$ > 0:94 at 1° spatial resolution) while the majority of DGVMs show, for 70% of the land surface, values outside the FLUXCOM range. Global mean GPP magnitudes for 2008–2010 from FLUXCOM members vary within 106 and 130 PgC $^{-1}$ with the largest uncertainty in the tropics. Seasonal variations in independent SIF estimates agree better with FLUXCOM GPP (mean global pixel-wise R$^{2}$ ~ 0:75) than with GPP from DGVMs (mean global pixel-wise R$^{2}$ ~ 0:6). ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000118196
Veröffentlicht am 22.04.2020
Originalveröffentlichung
DOI: 10.5194/bg-17-1343-2020
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1726-4170, 1726-4189
KITopen-ID: 1000118196
Erschienen in Biogeosciences
Band 17
Heft 5
Seiten 1343-1365
Vorab online veröffentlicht am 16.03.2020
Nachgewiesen in Web of Science
Scopus
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