A system of metrics for the assessment and improvement of aquatic ecosystem models
dc.contributor.author | Hipsey, Matthew R. | en |
dc.contributor.author | Gal, Gideon | en |
dc.contributor.author | Arhonditsis, George B. | en |
dc.contributor.author | Carey, Cayelan C. | en |
dc.contributor.author | Elliott, J. Alex | en |
dc.contributor.author | Frassl, Marieke A. | en |
dc.contributor.author | Janse, Jan H. | en |
dc.contributor.author | de Mora, Lee | en |
dc.contributor.author | Robson, Barbara J. | en |
dc.contributor.department | Biological Sciences | en |
dc.date.accessioned | 2020-12-23T18:08:33Z | en |
dc.date.available | 2020-12-23T18:08:33Z | en |
dc.date.issued | 2020-06 | en |
dc.description.abstract | In this paper, we introduce the CSPS framework for the hierarchical assessment of aquatic ecosystem models built on a range of metrics and characteristic signatures relevant to aquatic ecosystem condition. The framework is comprised of four levels: 0) conceptual validation; 1) comparison of simulated state variables with observations ('state validation'); 2) comparison of fluxes with measured process rates ('process validation'); and 3) assessment of system-level emergent properties, patterns and relationships ('system validation'). Of these, only levels 0 and 1 are routinely undertaken at present. To highlight a diverse range of contexts relevant to the aquatic ecosystem modelling community, we present several case studies of improved validation approaches using the level 0-3 assessment hierarchy. We envision that the community-driven adoption of these metrics will lead to more rigorously assessed models, ultimately accelerating advances in model structure and function, and improved confidence in model predictions. | en |
dc.description.notes | MRH received support from the Australian Research Council [DP130104078, DP170104832, LP130100756, LP150100451]. CCC received support from the National Science Foundation [NSF1753639]. | en |
dc.description.sponsorship | Australian Research CouncilAustralian Research Council [DP130104078, DP170104832, LP130100756, LP150100451]; National Science FoundationNational Science Foundation (NSF) [NSF1753639] | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1016/j.envsoft.2020.104697 | en |
dc.identifier.eissn | 1873-6726 | en |
dc.identifier.issn | 1364-8152 | en |
dc.identifier.other | 104697 | en |
dc.identifier.uri | http://hdl.handle.net/10919/101617 | en |
dc.identifier.volume | 128 | en |
dc.language.iso | en | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | AEM | en |
dc.subject | CSPS | en |
dc.subject | Ecological modelling | en |
dc.subject | Uncertainty | en |
dc.subject | Water quality | en |
dc.subject | Freshwater | en |
dc.subject | Marine | en |
dc.title | A system of metrics for the assessment and improvement of aquatic ecosystem models | en |
dc.title.serial | Environmental Modelling & Software | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.dcmitype | StillImage | en |
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