Seasonality of the North Atlantic oscillation

Citation
Dh. Portis et al., Seasonality of the North Atlantic oscillation, J CLIMATE, 14(9), 2001, pp. 2069-2078
Citations number
35
Categorie Soggetti
Earth Sciences
Journal title
JOURNAL OF CLIMATE
ISSN journal
08948755 → ACNP
Volume
14
Issue
9
Year of publication
2001
Pages
2069 - 2078
Database
ISI
SICI code
0894-8755(2001)14:9<2069:SOTNAO>2.0.ZU;2-M
Abstract
Monthly sea level pressure (SLP) data from the National Centers for Environ mental Prediction reanalysis for 1948-99 are used to develop a seasonally a nd geographically varying "mobile'' index of the North Atlantic oscillation (NAOm). NAOm is defined as the difference between normalized SLP anomalies at the locations of maximum negative correlation between the subtropical a nd subpolar North Atlantic SLP. The subtropical nodal point migrates westwa rd and slightly northward into the central North Atlantic from winter to su mmer. The NAOm index is robust across datasets, and correlates more highly than EOF coefficients with historical measures of westerly wind intensity a cross North Atlantic midlatitudes. As measured by this "mobile index,'' the NAO's nodes maintain their correlation from winter to summer to a greater degree than traditional NAO indices based on fixed stations in the eastern North Atlantic (Azores, Lisbon, Iceland). When the NAOm index is extended b ack to 1873, its annual values during the late 1800s are strongly negative due to negative contributions from all seasons, amplifying fluctuations pre sent in traditional winter-only indices. In contrast, after the mid-1950s, the values for different seasons sufficiently offset each other to make the annually averaged excursions of NAOm smaller than those of winter-only ind ices. Global teleconnection fields show that the wider influence of the NAO -particularly in the western North Atlantic, eastern North America, and Arc tic-is more apparent during spring-summer-autumn when the NAOm is used to c haracterize the NAO. Thus, the mobile index should be useful in NAO investi gations that involve seasonality.