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- W1616632215 abstract "Water temperature is a key control on many river processes including ecology and biogeochemistry.Consequently, the effect of climate change on river and stream temperatures is a major scientific andpractical concern. River thermal sensitivity to climate change/ variability is controlled by complexdrivers that need to be unravelled to better understanding patterns of spatio-temporal variability andthe relative importance of different controls to inform water and land management, specially climatechange mitigation and adaptations strategies.To address these research gaps, we aim: (1) to quantify the relative importance of different climaticdrivers of water temperature across a set of UK benchmark monitoring sites; and (2) to assess theeffect of basin properties as modifiers of the climate-temperature relationships. For the UK, previouswater temperature studies focussed either on a limited number of monitoring sites or climatic drivers.Water temperature data were collated across several long-term UK national capability projects,totalling 35 sites with a nationwide spread. Data were processed to create seasonal water temperatureseries (i.e. 3-month averages as follow: December - February for winter, March - May spring, June -August summer, and September - November autumn). Modelled climate data [daily, 1-km griddedforcing data for the Joint UL Land-Environment Simulator (JULES) for air temperature, short andlong wave radiation, wind speed, specific humidity, and precipitation] were extracted for each of thewater temperature site and seasonal averages were derived also.We modelled the response of water temperature (dependent variable) to the six climatic variables(predictors). One model per season was fitted to investigate season-specific controls; and one modelwas fitted for all seasons together to investigate the overall response (i.e. a total of five models).Methodologically, the study used a combination of two statistical techniques that are quite novel in thefield: (1) a multi-level modelling approach was chosen to account for the hierarchical structure in thedata sets (i.e. observations at a site, sites on a river); (2) model selection was based on an informationtheory criterion within a multi-model inference framework (i.e. sets of good models were selectedrather a single best model).This approach showed that all six climatic variables exert some influence in some or all models. Themost influential were air temperature for all seasonal models, short wave radiation for all seasonsexcept summer, specific humidity for winter, wind speed and precipitation for summer. Spatialpatterns were then investigated by mapping site-specific responses. These patterns were crossedcheckedwith selected basin properties in order to identify in what extent basins act as modifiers of theclimate/ water temperature response." @default.
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- W1616632215 date "2012-12-01" @default.
- W1616632215 modified "2023-09-25" @default.
- W1616632215 title "Climatic and catchment drivers of monthly water temperature of UK rivers" @default.
- W1616632215 doi "https://doi.org/10.6084/m9.figshare.1165520.v1" @default.
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