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dc.contributor.authorHamilton, David P.en_NZ
dc.contributor.authorCarey, Cayelan C.en_NZ
dc.contributor.authorArvola, Laurien_NZ
dc.contributor.authorArzberger, Peteren_NZ
dc.contributor.authorBrewer, Carolen_NZ
dc.contributor.authorCole, Jon J.en_NZ
dc.contributor.authorGaiser, Evelynen_NZ
dc.contributor.authorHanson, Paul C.en_NZ
dc.contributor.authorIbelings, Bas W.en_NZ
dc.contributor.authorJennings, Eleanoren_NZ
dc.contributor.authorKratz, Tim K.en_NZ
dc.contributor.authorLin, Fang-Pangen_NZ
dc.contributor.authorMcBride, Chris G.en_NZ
dc.contributor.authorMarques, David de Mottaen_NZ
dc.contributor.authorMuraoka, Kohjien_NZ
dc.contributor.authorNishri, Amien_NZ
dc.contributor.authorQin, Boqiangen_NZ
dc.contributor.authorRead, Jordan S.en_NZ
dc.contributor.authorRose, Kevin C.en_NZ
dc.contributor.authorRyder, Elizabethen_NZ
dc.contributor.authorWeathers, Kethleen C.en_NZ
dc.contributor.authorZhu, Guangweien_NZ
dc.contributor.authorTrolle, Dennisen_NZ
dc.contributor.authorBrookes, Justin D.en_NZ
dc.date.accessioned2015-06-16T23:12:39Z
dc.date.available2015en_NZ
dc.date.available2015-06-16T23:12:39Z
dc.date.issued2015en_NZ
dc.identifier.citationHamilton, D. P., Carey, C. C., Arvola, L., Arzberger, P., Brewer, C., Cole, J. J., … Brookes, J. D. (2015). A Global lake ecological observatory network (GLEON) for synthesising high-frequency sensor data for validation of deterministic ecological models. Inland Waters, 5(1), 49–56. http://doi.org/10.5268/IW-5.1.566en
dc.identifier.issn2044-2041en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/9415
dc.description.abstractA Global Lake Ecological Observatory Network (GLEON; www.gleon.org) has formed to provide a coordinated response to the need for scientific understanding of lake processes, utilising technological advances available from autonomous sensors. The organisation embraces a grassroots approach to engage researchers from varying disciplines, sites spanning geographic and ecological gradients, and novel sensor and cyberinfrastructure to synthesise high-frequency lake data at scales ranging from local to global. The high-frequency data provide a platform to rigorously validate processbased ecological models because model simulation time steps are better aligned with sensor measurements than with lower-frequency, manual samples. Two case studies from Trout Bog, Wisconsin, USA, and Lake Rotoehu, North Island, New Zealand, are presented to demonstrate that in the past, ecological model outputs (e.g., temperature, chlorophyll) have been relatively poorly validated based on a limited number of directly comparable measurements, both in time and space. The case studies demonstrate some of the difficulties of mapping sensor measurements directly to model state variable outputs as well as the opportunities to use deviations between sensor measurements and model simulations to better inform process understanding. Well-validated ecological models provide a mechanism to extrapolate high-frequency sensor data in space and time, thereby potentially creating a fully 3-dimensional simulation of key variables of interest.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoengen_NZ
dc.publisherFreshwater Biological Associationen_NZ
dc.relation.urihttps://www.fba.org.uk/journals/index.php/IW/issue/view/121en_NZ
dc.rights© International Society of Limnology 2014. Used with permission.
dc.subjectDYRESM-CAEDYMen_NZ
dc.subjectecological modellingen_NZ
dc.subjectGLEONen_NZ
dc.subjectgrassroots networken_NZ
dc.subjectlake metabolismen_NZ
dc.subjectnetwork scienceen_NZ
dc.subjectsensorsen_NZ
dc.titleA Global lake ecological observatory network (GLEON) for synthesising high-frequency sensor data for validation of deterministic ecological modelsen_NZ
dc.typeJournal Article
dc.identifier.doi10.5268/IW-5.1.566en_NZ
dc.relation.isPartOfInland Watersen_NZ
pubs.begin-page49
pubs.elements-id118989
pubs.end-page56
pubs.issue1en_NZ
pubs.volume5en_NZ
dc.identifier.eissn2044-205Xen_NZ


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