Articles | Volume 25, issue 7
https://doi.org/10.5194/hess-25-4159-2021
https://doi.org/10.5194/hess-25-4159-2021
Research article
 | 
22 Jul 2021
Research article |  | 22 Jul 2021

Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times

Seán Donegan, Conor Murphy, Shaun Harrigan, Ciaran Broderick, Dáire Foran Quinn, Saeed Golian, Jeff Knight, Tom Matthews, Christel Prudhomme, Adam A. Scaife, Nicky Stringer, and Robert L. Wilby

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Cited articles

Amnatsan, S., Yoshikawa, S., and Kanae, S.: Improved Forecasting of Extreme Monthly Reservoir Inflow Using an Analogue-Based Forecasting Method: A Case Study of the Sirikit Dam in Thailand, Water, 10, 1614, https://doi.org/10.3390/w10111614, 2018. a
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Short summary
We benchmarked the skill of ensemble streamflow prediction (ESP) for a diverse sample of 46 Irish catchments. We found that ESP is skilful in the majority of catchments up to several months ahead. However, the level of skill was strongly dependent on lead time, initialisation month, and individual catchment location and storage properties. We also conditioned ESP with the winter North Atlantic Oscillation and show that improvements in forecast skill, reliability, and discrimination are possible.
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