Investigating common assumptions about hydrologic modelling in a large-sample approach
Dear All,
The Oxford Water Network and Oxford Hydrology Group warmly welcome you to their termly lecture: Investigating common assumptions about hydrologic modelling in a large-sample approach.
Speaker: Dr Wouter Knoben --Postdoctoral Fellow, University of Saskatchewan, Canada
Date: 3rd March, 16:00-17:00 GMT
Registration Link: https://www.eventbrite.co.uk/e/investigating-common-assumptions-about-hydrologic-modelling-in-a-large-samp-tickets-138762372993
About the Event
This study uses 36 conceptual hydrologic models calibrated to streamflow observations in 559 catchments across the United States to investigate differences and similarities in model performance. Central in this talk is the common approach to setting up hydrologic models that uses separate calibration and evaluation periods and a single objective function to quantify model performance. We investigate this topic from multiple angles and show that several common, and sometimes implicit, assumptions in this approach are not supported by our large-sample results. This study provides ample large-sample evidence that the traditional approach to calibrating and evaluating conceptual models is not sufficient to ensure a model produces "the right results for the right reasons" and that more thoughtful model evaluation is needed.
About the Speaker
Dr Knoben is a Postdoctoral Fellow at the University of Saskatchewan at Canmore, board member of the Young Hydrologic Society and ex board member of the AGU Hydrology Section Student Subcommittee. His research focuses on three main areas: (i) using knowledge from experimental basins to improve continental domain models; (ii) model structure uncertainty, realism and benchmarking; and (iii) hydrologic similarity.
If you have any questions, please do not hesitate to get in touch.
Kind regards,
Marcus Buechel (Oxford Hydrology Group Convenor)
NERC DTP | School of Geography and the Environment, University of Oxford
Fluvial Systems, Hydrology, Floods, Landscape Evolution
LinkedIn | Webpage | +44 7772 941395
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