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A guide to good practice in modeling semantics for authors and referees

Research output: Contribution to journalJournal article

Published

Journal publication date08/2013
JournalWater Resources Research
Journal number8
Volume49
Number of pages7
Pages5092-5098
Original languageEnglish

Abstract

This opinion piece makes some suggestions about guidelines for modeling semantics that can be referred to by authors and referees. We discuss descriptions of model structures, different forms of simulation and prediction, descriptions of different sources of uncertainty in modeling practice, the language of model validation, and concepts of predictability and fitness-for-purpose. While not expecting universal agreement on these suggestions, given the loose usage of words in the literature, we hope that the discussion of the issues involved will at least give pause for thought and encourage good practice in model development and applications.

Key Points

Semantics of hydrological modelling lack clarity Clarifications for simulation and forecasting and treatment of uncertainty Clarifications for model evaluation and falsification

Bibliographic note

©2013. American Geophysical Union. All Rights Reserved.