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Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement

Research output: Contribution to journalArticle

Original languageEnglish
Number of pages21
JournalWater Resources Research
Early online date1 Oct 2018
DOIs
DateAccepted/In press - 29 Sep 2018
DateE-pub ahead of print (current) - 1 Oct 2018

Abstract

Rainfall‐runoff models are often deficient under changing climatic conditions, yet almost no recent studies propose new or improved model structures, instead focussing on model intercomparison, input sensitivity and/or quantification of uncertainty. This paucity of progress in model development is (in part) due to the difficulty of distinguishing which cases of model failure are truly caused by structural inadequacy. Here, we propose a new framework to diagnose the salient cause of poor model performance in changing climate conditions, be it structural inadequacy, poor parameterisation, or data errors. The framework can be applied to a single catchment, although larger samples of catchments are helpful to generalise and/or cross‐check results. To generate a diagnosis, multiple historic periods with contrasting climate are defined, and the limits of model robustness and flexibility are explored over each period separately and for all periods together. Numerous data‐based checks also supplement the results. Using a case study catchment from Australia, improved inference of structural failure and clearer evaluation of model structural improvements are demonstrated. This framework enables future studies to (i) identify cases where poor simulations are due to poor calibration methods or data errors, remediating these cases without recourse to structural changes; and (ii) use the remaining cases to gain greater clarity into what structural changes are needed to improve model performance in changing climate.

    Research areas

  • rainfall‐runoff modeling, model improvement, climate change

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via AGU at https://doi.org/10.1029/2018WR023989 . Please refer to any applicable terms of use of the publisher.

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    Licence: CC BY

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