Environmental Modelling & Software
Autor: | Matthew R. Hipsey, George B. Arhonditsis, Cayelan C. Carey, Gideon Gal, Lee de Mora, Marieke A. Frassl, Barbara J. Robson, J. Alex Elliott, J.H. Janse |
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Přispěvatelé: | Biological Sciences, Aquatic Ecology (AqE) |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
State variable Environmental Engineering 010504 meteorology & atmospheric sciences Computer science Process (engineering) 01 natural sciences CSPS Ecology and Environment Freshwater Range (statistics) System validation 0105 earth and related environmental sciences Ecological modelling Hierarchy Marine business.industry AEM 010604 marine biology & hydrobiology Ecological Modeling Aquatic ecosystem Environmental resource management Uncertainty Great barrier reef Structure and function Water quality international business Software |
Zdroj: | Environmental Modelling and Software, 128. Elsevier B.V. |
ISSN: | 1364-8152 |
Popis: | 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. Australian Research CouncilAustralian Research Council [DP130104078, DP170104832, LP130100756, LP150100451]; National Science FoundationNational Science Foundation (NSF) [NSF1753639] MRH received support from the Australian Research Council [DP130104078, DP170104832, LP130100756, LP150100451]. CCC received support from the National Science Foundation [NSF1753639]. |
Databáze: | OpenAIRE |
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