Our understanding of water, energy, and greenhouse gas cycling within the Earth system is grounded in in-situ flux observations measured globally at thousands of eddy covariance sites.  Many of these sites contribute to regional data networks that collectively form FLUXNET, providing standardized, long-term datasets that underpin studies of biosphere–atmosphere interactions across spatial scales from local to global, and temporal scales from diel to decadal.

Recent coordination between regional flux networks has produced a continually updated, open-access resource for global flux data, greatly expanding the number of sites with standardized data beyond previous static releases such as FLUXNET2015. This wealth of new flux data, coupled with advances in data analysis, integration, and artificial intelligence, promises to unlock significant advances in our understanding of water, energy, and carbon cycling. This session focuses on syntheses and modeling studies enabled by this increase in global flux data, with emphasis on regional and network-scale analyses.