Using high‐resolution isotope data and alternative calibration strategies for a tracer‐aided runoff model in a nested catchment |
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| Authors: | Claire Tunaley Doerthe Tetzlaff Christian Birkel Chris Soulsby |
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| Institution: | 1. Northern Rivers Institute, School of Geosciences, University of Aberdeen, Aberdeen, UK;2. IGB Leibniz Institute of Freshwater Ecology and Inland Fisheries;3. Humboldt University, Berlin;4. Department of Geography, University of Costa Rica, San Jose, Costa Rica |
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| Abstract: | Testing hydrological models over different spatio‐temporal scales is important for both evaluating diagnostics and aiding process understanding. High‐frequency (6‐hr) stable isotope sampling of rainfall and runoff was undertaken during 3‐week periods in summer and winter within 12 months of daily sampling in a 3.2‐km2 catchment in the Scottish Highlands. This was used to calibrate and test a tracer‐aided model to assess the (a) information content of high‐resolution data, (b) effect of different calibration strategies on simulations and inferred processes, and (c) model transferability to <1‐km2 subcatchment. The 6‐hourly data were successfully incorporated without loss of model performance, improving the temporal resolution of the modelling, and making it more relevant to the time dynamics of the isotope and hydrometric response. However, this added little new information due to old‐water dominance and riparian mixing in this peatland catchment. Time variant results, from differential split sample testing, highlighted the importance of calibrating to a wide range of hydrological conditions. This also provided insights into the nonstationarity of catchment mixing processes, in relation to storage and water ages, which varied markedly depending on the calibration period. Application to the nested subcatchment produced equivalent parameterization and performance, highlighting similarity in dominant processes. The study highlighted the utility of high‐resolution data in combination with tracer‐aided models, applied at multiple spatial scales, as learning tools to enhance process understanding and evaluation of model behaviour across nonstationary conditions. This helps reveal more fully the catchment response in terms of the different mechanistic controls on both wave celerites and particle velocities. |
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| Keywords: | catchment storage high‐resolution isotopes parameter transferability runoff processes tracer‐aided modelling water age |
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