.. _2_diagnostic_modeling: ********************************************* Diagnostic Modeling Overview and Perspectives ********************************************* This text prescribes a formal model diagnostic approach that is a deliberative and iterative combination of state-of-the-art UC and global sensitivity analysis techniques that progresses from observed history-based fidelity evaluations to forward looking resilience and vulnerability inferences :cite:`gupta_reconciling_2008, hadjimichael_advancing_2020`. .. include:: 2.1_overview_of_model_diagnostics.rst .. include:: 2.2_perspectives_on_diagnostic_model_evaluation.rst .. note:: The following articles are suggested as fundamental reading for the information presented in this section: * Naomi Oreskes, Kristin Shrader–Frechette, and Kenneth Belitz. Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences. *Science*, 263 (5147): 641-646, February 1994. URL: https://science.sciencemag.org/content/263/5147/641. DOI: https://doi.org/10.1126/science.263.5147.641. * Keith Beven. Towards a coherent philosophy for modelling the environment. *Proceedings of the Royal Society of London*. Series A: mathematical, physical and engineering sciences, 458 (2026): 2465-2484, 2002. * Eker, S., Rovenskaya, E., Obersteiner, M., Langan, S., 2018. Practice and perspectives in the validation of resource management models. *Nature Communications* 9, 1–10. https://doi.org/10.1038/s41467-018-07811-9 The following articles can be used as supplemental reading: * Canham, C.D., Cole, J.J., Lauenroth, W.K. (Eds.), 2003. Models in Ecosystem Science. Princeton University Press. https://doi.org/10.2307/j.ctv1dwq0tq