The sensitivity of simulated streamflow to individual hydrologic processes across North America

Mai, Juliane, Craig, James R., Tolson, Bryan A. et Arsenault, Richard. 2022. « The sensitivity of simulated streamflow to individual hydrologic processes across North America ». Nature Communications, vol. 13, nº 1.
Compte des citations dans Scopus : 15.

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Résumé

Streamflow sensitivity to different hydrologic processes varies in both space and time. This sensitivity is traditionally evaluated for the parameters specific to a given hydrologic model simulating streamflow. In this study, we apply a novel analysis over more than 3000 basins across North America considering a blended hydrologic model structure, which includes not only parametric, but also structural uncertainties. This enables seamless quantification of model process sensitivities and parameter sensitivities across a continuous set of models. It also leads to high-level conclusions about the importance of water cycle components on streamflow predictions, such as quickflow being the most sensitive process for streamflow simulations across the North American continent. The results of the 3000 basins are used to derive an approximation of sensitivities based on physiographic and climatologic data without the need to perform expensive sensitivity analyses. Detailed spatio-temporal inputs and results are shared through an interactive website

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur Arsenault, Richard
Affiliation:	Génie de la construction
Date de dépôt:	11 févr. 2022 18:42
Dernière modification:	03 mars 2022 16:16
URI:	https://espace2.etsmtl.ca/id/eprint/23962

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