H172-0010
Exploring the role of hydrological pathways in modulating North Atlantic Oscillation (NAO) teleconnection periodicities from rainfall to streamflow

Tuesday, 15 December 2020
Poster
William Rust1, Mark O Cuthbert2, John Bloomfield3, Ron Corstanje4, Nicholas J K Howden5 and Ian Holman1, (1)Cranfield University, Cranfield, MK43, United Kingdom, (2)Cardiff University, School of Earth & Ocean Sciences, Cardiff, CF24, United Kingdom, (3)British Geological Survey Wallingford, Crowmarsh Gifford, UNITED KINGDOM, (4)Cranfield University, Cranfield, United Kingdom, (5)University of Bristol, Bristol, BS8, United Kingdom
Abstract:
An understanding of multi-annual behaviour in streamflow allows for better estimation of the risks associated with hydrological extremes. This can enable improved preparedness for streamflow-dependant services such as freshwater ecology, drinking water supply and agriculture. Recently, efforts have focused on detecting relationships between long-term hydrological behaviour and oscillatory climate systems (such as the NAO). For instance, the approximate 7-year periodicity of the NAO has been detected in groundwater level records in the North Atlantic region, providing a degree of forecasting for future water resource extremes due to their repeating, periodic nature. However, the extent to which these 7-year NAO-like signals are propagated to streamflow, and the catchment processes that modulate this propagation, are currently unknown. Here, we show statistically significant evidence that these 7-year periodicities are present in streamflow (and associated catchment rainfall), by applying multi-resolution analysis to a large dataset of streamflow and associated catchment rainfall across the UK. Our results provide new evidence for spatial patterns of NAO periodicities in UK rainfall with areas of greatest NAO signal found in south west England, South Wales, Northern Ireland and central Scotland, and that NAO-like periodicities account for a greater proportion of streamflow variability in these areas. Furthermore, we show that subsurface pathway contribution, as characterised by the Baseflow Index (BFI), and the response times of subsurface pathways, as characterised by Groundwater response Time (GRT), are influential factors for streamflow sensitivity to these NAO-like cycles. Our results provide critical process understanding for the screening and use of streamflow teleconnections for the improving the practice and policy of long-term streamflow resource management.