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Remote-sensing reflectance and true colour produced by a coupled hydrodynamic, optical, sediment, biogeochemical model of the Great Barrier Reef, Australia: Comparison with satellite data., , , , , , , , , and 3 other author(s). Environ. Model. Softw., (2016)A Bayesian inference approach to account for multiple sources of uncertainty in a macroalgae based integrated multi-trophic aquaculture model., , , , and . Environ. Model. Softw., (2016)Applications of heterogeneous computing in computational and simulation science., , , , , , , , , and 8 other author(s). Int. J. Comput. Sci. Eng., 8 (3): 240-252 (2013)Hierarchical Emulation & Data Assimilation into the Sediment Transport Model., , , and . ICCS, volume 29 of Procedia Computer Science, page 2121-2126. Elsevier, (2014)Towards evidence-based parameter values and priors for aquatic ecosystem modelling., , , , , , , , , and 7 other author(s). Environ. Model. Softw., (2018)On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler., , and . SIAM/ASA J. Uncertain. Quantification, 1 (1): 494-521 (2013)Enhanced assessment of the eReefs biogeochemical model for the Great Barrier Reef using the Concept/State/Process/System model evaluation framework., , , , , , , , , and 1 other author(s). Environ. Model. Softw., (2020)Analysing coastal ocean model outputs using competitive-learning pattern recognition techniques., , and . Environ. Model. Softw., (2014)Identification of Patterns over Regional Scales Using Self-Organising Maps on Images from Marine Modelling Outputs., , and . DICTA, page 1-6. IEEE, (2012)