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Skilful Seasonal Predictions of Summer European Rainfall
Author(s) -
Dunstone Nick,
Smith Doug,
Scaife Adam,
Hermanson Leon,
Fereday David,
O'Reilly Chris,
Stirling Alison,
Eade Rosie,
Gordon Margaret,
MacLachlan Craig,
Woollings Tim,
Sheen Katy,
Belcher Stephen
Publication year - 2018
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2017gl076337
Subject(s) - climatology , environmental science , climate model , sea surface temperature , forecast skill , climate change , meteorology , geography , oceanography , geology
Abstract Year‐to‐year variability in Northern European summer rainfall has profound societal and economic impacts; however, current seasonal forecast systems show no significant forecast skill. Here we show that skillful predictions are possible ( r ~0.5, p < 0.001) using the latest high‐resolution Met Office near‐term prediction system over 1960–2017. The model predictions capture both low‐frequency changes (e.g., wet summers 2007–2012) and some of the large individual events (e.g., dry summer 1976). Skill is linked to predictable North Atlantic sea surface temperature variability changing the supply of water vapor into Northern Europe and so modulating convective rainfall. However, dynamical circulation variability is not well predicted in general—although some interannual skill is found. Due to the weak amplitude of the forced model signal (likely caused by missing or weak model responses), very large ensembles (>80 members) are required for skillful predictions. This work is promising for the development of European summer rainfall climate services.