Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 4
Articles | Volume 24, issue 4
https://doi.org/10.5194/hess-24-1677-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-1677-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 4
Research article
 | 
08 Apr 2020
Research article |  | 08 Apr 2020

On the assimilation of environmental tracer observations for model-based decision support

Matthew J. Knowling, Jeremy T. White, Catherine R. Moore, Pawel Rakowski, and Kevin Hayley

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Short summary
The incorporation of novel and diverse data sources into predictive models is expected to improve the reliability of model forecasts. This study critically and rigorously explores the extent to which this expectation holds given the imperfect nature of numerical models (and therefore their compromised ability to appropriately assimilate information-rich data). We show that environmental tracer observations may be of variable benefit in reducing forecast uncertainty and may induce forecast bias.
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