2014
DOI: 10.1175/jcli-d-14-00207.1
|View full text |Cite
|
Sign up to set email alerts
|

Seasonal Predictability over Europe Arising from El Niño and Stratospheric Variability in the MPI-ESM Seasonal Prediction System

Abstract: Predictability on seasonal time scales over the North Atlantic-Europe region is assessed using a seasonal prediction system based on an initialized version of the Max Planck Institute Earth System Model (MPI-ESM). For this region, two of the dominant predictors on seasonal time scales are El Niño-Southern Oscillation (ENSO) and sudden stratospheric warming (SSW) events. Multiple studies have shown a potential for improved North Atlantic predictability for either predictor. Their respective influences are howev… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

14
123
0
1

Year Published

2015
2015
2018
2018

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 127 publications
(138 citation statements)
references
References 74 publications
14
123
0
1
Order By: Relevance
“…The forecast skill of weather prediction is related to the occurrence of SSWs (e.g., Sigmond et al, 2013;Domeisen et al, 2015), and this can be utilized for an improvement of weather forecasts.…”
Section: Relevance Of Ssws For Global Modelingmentioning
confidence: 99%
“…The forecast skill of weather prediction is related to the occurrence of SSWs (e.g., Sigmond et al, 2013;Domeisen et al, 2015), and this can be utilized for an improvement of weather forecasts.…”
Section: Relevance Of Ssws For Global Modelingmentioning
confidence: 99%
“…Several indices have been used in the literature, considering different oceanic regions, such as Nino-3 (N3) (5°N-5°S, 150°-90°W) (Hoerlinget al 1997;Manzini et al 2006) or Nino-4 (N4) (5°N-5°S, 160°E-150°W) (Kug and Ham 2011;Zhang et al 2015). However, most recent studies used the Nino-3.4 (N3.4) (5°N-5°S, 170°-120°W) index from the National Centers for Environmental Prediction/Climate Prediction Center (NCEP/CPC) (e.g., Free and Seidel 2009;Butler and Polvani 2011;Garfinkel et al 2012;Butler et al 2014;Barriopedro and Calvo 2014;Domeisen et al 2015). For this reason, we choose the N3.4 index from the NCEP/CPC.…”
Section: A Event Detectionmentioning
confidence: 99%
“…Finally, different thresholds have been applied to select the events. Some studies se lected La Nina events below -0.5°C (Domeisen et al 2015) or -0.7 standard deviations (SD) (Pozo-Vazquez et al 2005), while other studies applied higher thresholds of -1 SD (Mitchell et al 2011) or -1 K (Free and Seidel 2009). As discussed in the introduction, the use of unequal thresholds could lead to a diverse range of responses.…”
Section: A Event Detectionmentioning
confidence: 99%
See 2 more Smart Citations