Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation

With global temperatures, populations and ecological stressors expected to rise, hydrological droughts are projected to have progressively severe economic and environmental impacts. As a result, hydrological drought forecasting systems have become increasingly important water resource management too...

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Published in:Journal of Hydrology
Main Authors: Rust, William, Bloomfield, John P., Holman, Ian
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2024
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/537962/
https://nora.nerc.ac.uk/id/eprint/537962/1/1-s2.0-S0022169424012277-main.pdf
https://doi.org/10.1016/j.jhydrol.2024.131831
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spelling ftnerc:oai:nora.nerc.ac.uk:537962 2024-09-30T14:39:28+00:00 Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation Rust, William Bloomfield, John P. Holman, Ian 2024-09 text http://nora.nerc.ac.uk/id/eprint/537962/ https://nora.nerc.ac.uk/id/eprint/537962/1/1-s2.0-S0022169424012277-main.pdf https://doi.org/10.1016/j.jhydrol.2024.131831 en eng Elsevier https://nora.nerc.ac.uk/id/eprint/537962/1/1-s2.0-S0022169424012277-main.pdf Rust, William; Bloomfield, John P. orcid:0000-0002-5730-1723 Holman, Ian. 2024 Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation. Journal of Hydrology, 641, 131831. https://doi.org/10.1016/j.jhydrol.2024.131831 <https://doi.org/10.1016/j.jhydrol.2024.131831> cc_by_4 Publication - Article PeerReviewed 2024 ftnerc https://doi.org/10.1016/j.jhydrol.2024.131831 2024-09-11T00:06:36Z With global temperatures, populations and ecological stressors expected to rise, hydrological droughts are projected to have progressively severe economic and environmental impacts. As a result, hydrological drought forecasting systems have become increasingly important water resource management tools for mitigating these impacts. However, high frequency behaviours in meteorological or atmospheric conditions often limit the lead times of hydrological drought forecasts to seasonal timescales, either through poorer performance of multi-year meteorological forecasts or the lack of multi-year lags in atmosphere-hydrology systems. By contrast, low frequency behaviours in regionally important teleconnection systems (such as the North Atlantic Oscillation, NAO) offer a novel way to forecast hydrological drought at longer lead times. This paper shows that, by using a data-driven modelling approach, long-term behaviours within the NAO can be skilful predictors of hydrological drought conditions at a four-year forecasting horizon. Multi-year semi-periodic patterns in the NAO were used to forecast regional groundwater drought coverage in the UK (proportion of groundwater boreholes in drought), with the greatest forecast performance achieved for longer duration droughts, and for hydrogeological regions with longer response times. Model errors vary from 14 % (proportion of boreholes, (MAE)) in flashy hydrological regions or short droughts (<3 months), to 2 % for longer duration droughts (>8 months). Model fits of r2 up to 0.8 were produced between simulated and recorded regional drought coverage. As such our results show that teleconnection indices can be a skilful predictor of hydrological drought dynamics at multi-year timescales, opening new opportunities for long-lead groundwater drought forecasts to be integrated within existing drought management strategies in Europe and beyond. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Natural Environment Research Council: NERC Open Research Archive Journal of Hydrology 641 131831
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language English
description With global temperatures, populations and ecological stressors expected to rise, hydrological droughts are projected to have progressively severe economic and environmental impacts. As a result, hydrological drought forecasting systems have become increasingly important water resource management tools for mitigating these impacts. However, high frequency behaviours in meteorological or atmospheric conditions often limit the lead times of hydrological drought forecasts to seasonal timescales, either through poorer performance of multi-year meteorological forecasts or the lack of multi-year lags in atmosphere-hydrology systems. By contrast, low frequency behaviours in regionally important teleconnection systems (such as the North Atlantic Oscillation, NAO) offer a novel way to forecast hydrological drought at longer lead times. This paper shows that, by using a data-driven modelling approach, long-term behaviours within the NAO can be skilful predictors of hydrological drought conditions at a four-year forecasting horizon. Multi-year semi-periodic patterns in the NAO were used to forecast regional groundwater drought coverage in the UK (proportion of groundwater boreholes in drought), with the greatest forecast performance achieved for longer duration droughts, and for hydrogeological regions with longer response times. Model errors vary from 14 % (proportion of boreholes, (MAE)) in flashy hydrological regions or short droughts (<3 months), to 2 % for longer duration droughts (>8 months). Model fits of r2 up to 0.8 were produced between simulated and recorded regional drought coverage. As such our results show that teleconnection indices can be a skilful predictor of hydrological drought dynamics at multi-year timescales, opening new opportunities for long-lead groundwater drought forecasts to be integrated within existing drought management strategies in Europe and beyond.
format Article in Journal/Newspaper
author Rust, William
Bloomfield, John P.
Holman, Ian
spellingShingle Rust, William
Bloomfield, John P.
Holman, Ian
Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation
author_facet Rust, William
Bloomfield, John P.
Holman, Ian
author_sort Rust, William
title Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation
title_short Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation
title_full Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation
title_fullStr Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation
title_full_unstemmed Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation
title_sort long-range hydrological drought forecasting using multi-year cycles in the north atlantic oscillation
publisher Elsevier
publishDate 2024
url http://nora.nerc.ac.uk/id/eprint/537962/
https://nora.nerc.ac.uk/id/eprint/537962/1/1-s2.0-S0022169424012277-main.pdf
https://doi.org/10.1016/j.jhydrol.2024.131831
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation https://nora.nerc.ac.uk/id/eprint/537962/1/1-s2.0-S0022169424012277-main.pdf
Rust, William; Bloomfield, John P. orcid:0000-0002-5730-1723
Holman, Ian. 2024 Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation. Journal of Hydrology, 641, 131831. https://doi.org/10.1016/j.jhydrol.2024.131831 <https://doi.org/10.1016/j.jhydrol.2024.131831>
op_rights cc_by_4
op_doi https://doi.org/10.1016/j.jhydrol.2024.131831
container_title Journal of Hydrology
container_volume 641
container_start_page 131831
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