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dc.contributor.authorBaatz, Roland  Concept link
dc.contributor.authorSullivan, Pamela L.  Concept link
dc.contributor.authorLi, Li  Concept link
dc.contributor.authorWeintraub, Samantha R.  Concept link
dc.contributor.authorLoescher, Henry W.  Concept link
dc.contributor.authorMirtl, Michael  Concept link
dc.contributor.authorGroffman, Peter M.  Concept link
dc.contributor.authorWall, Diana H.  Concept link
dc.contributor.authorYoung, Michael  Concept link
dc.contributor.authorWhite, Tim  Concept link
dc.contributor.authorWen, Hang  Concept link
dc.contributor.authorZacharias, Steffen  Concept link
dc.contributor.authorKühn, Ingolf  Concept link
dc.contributor.authorTang, Jianwu  Concept link
dc.contributor.authorGaillardet, Jerome  Concept link
dc.contributor.authorBraud, Isabelle  Concept link
dc.contributor.authorFlores, Alejandro N.  Concept link
dc.contributor.authorKumar, Praveen  Concept link
dc.contributor.authorLin, Henry  Concept link
dc.contributor.authorGhezzehei, Teamrat  Concept link
dc.contributor.authorJones, Julia  Concept link
dc.contributor.authorGholz, Henry L.  Concept link
dc.contributor.authorVereecken, Harry  Concept link
dc.contributor.authorVan Looy, Kris  Concept link
dc.identifier.citationEarth System Dynamics 9 (2018): 593-609en_US
dc.description© The Author(s), 2018. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Earth System Dynamics 9 (2018): 593-609, doi:10.5194/esd-9-593-2018.en_US
dc.description.abstractAdvancing our understanding of Earth system dynamics (ESD) depends on the development of models and other analytical tools that apply physical, biological, and chemical data. This ambition to increase understanding and develop models of ESD based on site observations was the stimulus for creating the networks of Long-Term Ecological Research (LTER), Critical Zone Observatories (CZOs), and others. We organized a survey, the results of which identified pressing gaps in data availability from these networks, in particular for the future development and evaluation of models that represent ESD processes, and provide insights for improvement in both data collection and model integration. From this survey overview of data applications in the context of LTER and CZO research, we identified three challenges: (1) widen application of terrestrial observation network data in Earth system modelling, (2) develop integrated Earth system models that incorporate process representation and data of multiple disciplines, and (3) identify complementarity in measured variables and spatial extent, and promoting synergies in the existing observational networks. These challenges lead to perspectives and recommendations for an improved dialogue between the observation networks and the ESD modelling community, including co-location of sites in the existing networks and further formalizing these recommendations among these communities. Developing these synergies will enable cross-site and cross-network comparison and synthesis studies, which will help produce insights around organizing principles, classifications, and general rules of coupling processes with environmental conditions.en_US
dc.description.sponsorshipFinancial support from NSF, NEON, LTER, and CZO made this collaboration possible. Henry W. Loescher and Samantha R. Weintraub acknowledge the National Science Foundation (NSF) for ongoing support. NEON is a project sponsored by the NSF and managed under cooperative support agreement (EF-1029808) to Battelle. Roland Baatz, Steffen Zacharias, and Ingolf Kühn acknowledge the European Union’s Horizon 2020 research and innovation program grant agreement no. 654359 (eLTER Horizon 2020). Furthermore the work was supported by the Terrestrial Environmental Observatories (TERENO), which is a joint collaboration program involving several Helmholtz Research Centers in Germany.en_US
dc.publisherCopernicus Publications on behalf of the European Geosciences Unionen_US
dc.rightsAttribution 4.0 International*
dc.titleSteering operational synergies in terrestrial observation networks : opportunity for advancing Earth system dynamics modellingen_US

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Except where otherwise noted, this item's license is described as Attribution 4.0 International