I like adjectives. In fact, one of the reasons I enjoy writing letters of support for my colleagues is because it gives me the opportunity to make extensive use of adjectives. I get to use words like spectacular, inquisitive, unselfish, and revolutionary. I become satisfied when my flowery language paints a portrait of my colleagues that helps them get the recognition that they deserve. It’s all about the adjectives (and my colleagues of course!).
I have encountered a situation, however, where the English language suffers from a shortage of adjectives. In hydrological modelling we often make the distinction between accuracy and fidelity. Accuracy is used to describe discrepancies between model simulations and observations; fidelity is used to describe the extent to which a model faithfully represents the dominant processes in the region where it is applied. Accuracy is a necessary (yet not sufficient) condition for fidelity.
You may now notice my conundrum: whilst the adverb faithfully can be adequately paired with fidelity, the adjectives to describe model fidelity are, arguably, inadequate. We can use the term accurate to describe model accuracy, but it is awkward to use the term faithful to describe model fidelity. The awkwardness arises because faithful has religious connotations, as faith may not be supported by facts.
An alternative can be found in Olde English. As it turns out, there is another adjective for fidelity: the (now obsolete) adjective fidelious (or fidelitous). The term fidelious may, for some, invoke memories of Harry Potter (e.g., the Fidelus charm), and this simply underscores its panache. The adjective fidelious, I think, has tremendous utility in the hydrological sciences.
I respectfully suggest, dear reader, that we introduce the age-old adjective fidelious into the hydrological vernacular. Our manuscripts will be all the better for it.
USask/Canmore Computational Hydrology at CWRA 2022: things not to miss!
Posted on 05 Jun 2022USask/Canmore Computational Hydrology at EGU 2022: things not to miss!
Posted on 15 May 2022USask/Canmore Computational Hydrology at AGU 2021: things not to miss!
Posted on 10 Dec 2021