Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system

Accurate quantification and effective modelling of water temperature regimes is fundamental to underpin projections of future Arctic river temperature under scenarios of climate and hydrological change. We present results from a deterministic two-dimensional hydrodynamic model coupled with a heat tr...

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Published in:Journal of Hydrology
Main Authors: Carrivick, JL, Brown, LE, Hannah, DM, Turner, AGD
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2011
Subjects:
Online Access:https://eprints.whiterose.ac.uk/76080/
https://eprints.whiterose.ac.uk/76080/3/Numerical%2520modelling_Carrivick%2520et%2520al%25202012_pre-print_with_coversheet.pdf
https://doi.org/10.1016/j.jhydrol.2011.11.026
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spelling ftleedsuniv:oai:eprints.whiterose.ac.uk:76080 2024-06-02T08:01:43+00:00 Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system Carrivick, JL Brown, LE Hannah, DM Turner, AGD 2011 text https://eprints.whiterose.ac.uk/76080/ https://eprints.whiterose.ac.uk/76080/3/Numerical%2520modelling_Carrivick%2520et%2520al%25202012_pre-print_with_coversheet.pdf https://doi.org/10.1016/j.jhydrol.2011.11.026 en eng Elsevier https://eprints.whiterose.ac.uk/76080/3/Numerical%2520modelling_Carrivick%2520et%2520al%25202012_pre-print_with_coversheet.pdf Carrivick, JL, Brown, LE, Hannah, DM et al. (1 more author) (2011) Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system. Journal of Hydrology, 414-41. 491 - 502. ISSN 0022-1694 Article NonPeerReviewed 2011 ftleedsuniv https://doi.org/10.1016/j.jhydrol.2011.11.026 2024-05-06T12:39:55Z Accurate quantification and effective modelling of water temperature regimes is fundamental to underpin projections of future Arctic river temperature under scenarios of climate and hydrological change. We present results from a deterministic two-dimensional hydrodynamic model coupled with a heat transfer model that includes horizontal advection and vertical water surface energy fluxes. Firstly, we model longitudinal, lateral and temporal thermal heterogeneity of a braided reach of an Arctic river; Kårsajökk, Sweden. Model performance was assessed against water temperature data collected at 11 monitoring sites for two independent 1-week time periods. Overall, model performance was strongest (r values >0.9, RMSEs~. 0.6°C and ME< 0.4 °C) for main channel sites with relatively deep fast-flows where water temperature was comparatively low and stable. However, model performance was poorer for sites characterised by shallow and/or temporarily-stagnant streams at the lateral margins of the braidplain, where a lag of 60-90. min persisted between the modelled and measured water temperatures. Secondly, we present novel automated statistical analyses and quantify channel thermal connectivity and complexity. Our results lead us to suggest that with further development our modelling approach offers new opportunities for scenario-based predictions of response to environmental change and to assess anthropogenic impacts on water temperature. Article in Journal/Newspaper Arctic White Rose Research Online (Universities of Leeds, Sheffield & York) Arctic Journal of Hydrology 414-415 491 502
institution Open Polar
collection White Rose Research Online (Universities of Leeds, Sheffield & York)
op_collection_id ftleedsuniv
language English
description Accurate quantification and effective modelling of water temperature regimes is fundamental to underpin projections of future Arctic river temperature under scenarios of climate and hydrological change. We present results from a deterministic two-dimensional hydrodynamic model coupled with a heat transfer model that includes horizontal advection and vertical water surface energy fluxes. Firstly, we model longitudinal, lateral and temporal thermal heterogeneity of a braided reach of an Arctic river; Kårsajökk, Sweden. Model performance was assessed against water temperature data collected at 11 monitoring sites for two independent 1-week time periods. Overall, model performance was strongest (r values >0.9, RMSEs~. 0.6°C and ME< 0.4 °C) for main channel sites with relatively deep fast-flows where water temperature was comparatively low and stable. However, model performance was poorer for sites characterised by shallow and/or temporarily-stagnant streams at the lateral margins of the braidplain, where a lag of 60-90. min persisted between the modelled and measured water temperatures. Secondly, we present novel automated statistical analyses and quantify channel thermal connectivity and complexity. Our results lead us to suggest that with further development our modelling approach offers new opportunities for scenario-based predictions of response to environmental change and to assess anthropogenic impacts on water temperature.
format Article in Journal/Newspaper
author Carrivick, JL
Brown, LE
Hannah, DM
Turner, AGD
spellingShingle Carrivick, JL
Brown, LE
Hannah, DM
Turner, AGD
Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
author_facet Carrivick, JL
Brown, LE
Hannah, DM
Turner, AGD
author_sort Carrivick, JL
title Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
title_short Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
title_full Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
title_fullStr Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
title_full_unstemmed Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
title_sort numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
publisher Elsevier
publishDate 2011
url https://eprints.whiterose.ac.uk/76080/
https://eprints.whiterose.ac.uk/76080/3/Numerical%2520modelling_Carrivick%2520et%2520al%25202012_pre-print_with_coversheet.pdf
https://doi.org/10.1016/j.jhydrol.2011.11.026
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation https://eprints.whiterose.ac.uk/76080/3/Numerical%2520modelling_Carrivick%2520et%2520al%25202012_pre-print_with_coversheet.pdf
Carrivick, JL, Brown, LE, Hannah, DM et al. (1 more author) (2011) Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system. Journal of Hydrology, 414-41. 491 - 502. ISSN 0022-1694
op_doi https://doi.org/10.1016/j.jhydrol.2011.11.026
container_title Journal of Hydrology
container_volume 414-415
container_start_page 491
op_container_end_page 502
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