The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought
Drought forecasting and early warning systems for water resource extremes are increasingly important tools in water resource management in Europe where increased population density and climate change are expected to place greater pressures on water supply. In this context, the North Atlantic Oscilla...
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ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826/17895 2023-05-15T17:30:10+02:00 The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought Rust, William Bloomfield, John P. Cuthbert, Mark Corstanje, Ron Holman, Ian P. 2022-05-11 https://doi.org/10.5194/hess-26-2449-2022 http://dspace.lib.cranfield.ac.uk/handle/1826/17895 en eng European Geosciences Union (EGU) Rust W, Bloomfield J, Cuthbert M, et al., (2022) The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought. Hydrology and Earth System Sciences, Volume 26, Issue 9, May 2022, pp. 2449-2467 1027-5606 https://doi.org/10.5194/hess-26-2449-2022 http://dspace.lib.cranfield.ac.uk/handle/1826/17895 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ CC-BY Article 2022 ftcranfield https://doi.org/10.5194/hess-26-2449-2022 2022-07-21T22:37:38Z Drought forecasting and early warning systems for water resource extremes are increasingly important tools in water resource management in Europe where increased population density and climate change are expected to place greater pressures on water supply. In this context, the North Atlantic Oscillation (NAO) is often used to indicate future water resource behaviours (including droughts) over Europe, given its dominant control on winter rainfall totals in the North Atlantic region. Recent hydroclimate research has focused on the role of multiannual periodicities in the NAO in driving low frequency behaviours in some water resources, suggesting that notable improvements to lead-times in forecasting may be possible by incorporating these multiannual relationships. However, the importance of multiannual NAO periodicities for driving water resource behaviour, and the feasibility of this relationship for indicating future droughts, has yet to be assessed in the context of known non-stationarities that are internal to the NAO and its influence on European meteorological processes. Here we quantify the time–frequency relationship between the NAO and a large dataset of water resources records to identify key non-stationarities that have dominated multiannual behaviour of water resource extremes over recent decades. The most dominant of these is a 7.5-year periodicity in water resource extremes since approximately 1970 but which has been diminishing since 2005. Furthermore, we show that the non-stationary relationship between the NAO and European rainfall is clearly expressed at multiannual periodicities in the water resource records assessed. These multiannual behaviours are found to have modulated historical water resource anomalies to an extent that is comparable to the projected effects of a worst-case climate change scenario. Furthermore, there is limited systematic understanding in existing atmospheric research for non-stationarities in these periodic behaviours which poses considerable implications to existing ... Article in Journal/Newspaper North Atlantic North Atlantic oscillation Cranfield University: Collection of E-Research - CERES Hydrology and Earth System Sciences 26 9 2449 2467 |
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Cranfield University: Collection of E-Research - CERES |
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ftcranfield |
language |
English |
description |
Drought forecasting and early warning systems for water resource extremes are increasingly important tools in water resource management in Europe where increased population density and climate change are expected to place greater pressures on water supply. In this context, the North Atlantic Oscillation (NAO) is often used to indicate future water resource behaviours (including droughts) over Europe, given its dominant control on winter rainfall totals in the North Atlantic region. Recent hydroclimate research has focused on the role of multiannual periodicities in the NAO in driving low frequency behaviours in some water resources, suggesting that notable improvements to lead-times in forecasting may be possible by incorporating these multiannual relationships. However, the importance of multiannual NAO periodicities for driving water resource behaviour, and the feasibility of this relationship for indicating future droughts, has yet to be assessed in the context of known non-stationarities that are internal to the NAO and its influence on European meteorological processes. Here we quantify the time–frequency relationship between the NAO and a large dataset of water resources records to identify key non-stationarities that have dominated multiannual behaviour of water resource extremes over recent decades. The most dominant of these is a 7.5-year periodicity in water resource extremes since approximately 1970 but which has been diminishing since 2005. Furthermore, we show that the non-stationary relationship between the NAO and European rainfall is clearly expressed at multiannual periodicities in the water resource records assessed. These multiannual behaviours are found to have modulated historical water resource anomalies to an extent that is comparable to the projected effects of a worst-case climate change scenario. Furthermore, there is limited systematic understanding in existing atmospheric research for non-stationarities in these periodic behaviours which poses considerable implications to existing ... |
format |
Article in Journal/Newspaper |
author |
Rust, William Bloomfield, John P. Cuthbert, Mark Corstanje, Ron Holman, Ian P. |
spellingShingle |
Rust, William Bloomfield, John P. Cuthbert, Mark Corstanje, Ron Holman, Ian P. The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought |
author_facet |
Rust, William Bloomfield, John P. Cuthbert, Mark Corstanje, Ron Holman, Ian P. |
author_sort |
Rust, William |
title |
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought |
title_short |
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought |
title_full |
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought |
title_fullStr |
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought |
title_full_unstemmed |
The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought |
title_sort |
importance of non-stationary multiannual periodicities in the north atlantic oscillation index for forecasting water resource drought |
publisher |
European Geosciences Union (EGU) |
publishDate |
2022 |
url |
https://doi.org/10.5194/hess-26-2449-2022 http://dspace.lib.cranfield.ac.uk/handle/1826/17895 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
Rust W, Bloomfield J, Cuthbert M, et al., (2022) The importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource drought. Hydrology and Earth System Sciences, Volume 26, Issue 9, May 2022, pp. 2449-2467 1027-5606 https://doi.org/10.5194/hess-26-2449-2022 http://dspace.lib.cranfield.ac.uk/handle/1826/17895 |
op_rights |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/hess-26-2449-2022 |
container_title |
Hydrology and Earth System Sciences |
container_volume |
26 |
container_issue |
9 |
container_start_page |
2449 |
op_container_end_page |
2467 |
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1766125986512896000 |