Sea-level pressure variability around Antarctica since A.D. 1750 inferred from subantarctic tree-ring records

R. Villalba; E. R. Cook; R. D. D'Arrigo; G. C. Jacoby; P. D. Jones; M. J. Salinger; J. Palmer

doi:10.1007/s003820050172

Sea-level pressure variability around Antarctica since A.D. 1750 inferred from subantarctic tree-ring records

R. Villalba, E. R. Cook, R. D. D'Arrigo, G. C. Jacoby, P. D. Jones, M. J. Salinger, J. Palmer

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71 Citations (Scopus)

Abstract

A tree-ring chronology network recently developed from the subantarctic forests provides an opportunity to study long-term climatic variability at higher latitudes in the Southern Hemisphere. Fifty long (1911–1985), homogeneous records of monthly mean sea-level pressure (MSLP) from the southern latitudes (15–65?°S) were intercorrelated on a seasonal basis to establish the most consistent, long-term Trans-Polar teleconnections during this century. Variations in summer MSLP between the South America-Antarctic Peninsula and the New Zealand sectors of the Southern Ocean are significantly correlated in a negative sense (r=-0.53, P

Original language	English
Pages (from-to)	375-390
Number of pages	16
Journal	Climate Dynamics
Volume	13
Issue number	6
DOIs	https://doi.org/10.1007/s003820050172
Publication status	Published - 1997

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10.1007/s003820050172

Cite this

@article{8b66761cdd044b219866ce64c7923c09,

title = "Sea-level pressure variability around Antarctica since A.D. 1750 inferred from subantarctic tree-ring records",

abstract = "A tree-ring chronology network recently developed from the subantarctic forests provides an opportunity to study long-term climatic variability at higher latitudes in the Southern Hemisphere. Fifty long (1911–1985), homogeneous records of monthly mean sea-level pressure (MSLP) from the southern latitudes (15–65?°S) were intercorrelated on a seasonal basis to establish the most consistent, long-term Trans-Polar teleconnections during this century. Variations in summer MSLP between the South America-Antarctic Peninsula and the New Zealand sectors of the Southern Ocean are significantly correlated in a negative sense (r=-0.53, P",

author = "R. Villalba and Cook, {E. R.} and D'Arrigo, {R. D.} and Jacoby, {G. C.} and Jones, {P. D.} and Salinger, {M. J.} and J. Palmer",

year = "1997",

doi = "10.1007/s003820050172",

language = "English",

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pages = "375--390",

journal = "Climate Dynamics",

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T1 - Sea-level pressure variability around Antarctica since A.D. 1750 inferred from subantarctic tree-ring records

AU - Villalba, R.

AU - Cook, E. R.

AU - D'Arrigo, R. D.

AU - Jacoby, G. C.

AU - Jones, P. D.

AU - Salinger, M. J.

AU - Palmer, J.

PY - 1997

Y1 - 1997

N2 - A tree-ring chronology network recently developed from the subantarctic forests provides an opportunity to study long-term climatic variability at higher latitudes in the Southern Hemisphere. Fifty long (1911–1985), homogeneous records of monthly mean sea-level pressure (MSLP) from the southern latitudes (15–65?°S) were intercorrelated on a seasonal basis to establish the most consistent, long-term Trans-Polar teleconnections during this century. Variations in summer MSLP between the South America-Antarctic Peninsula and the New Zealand sectors of the Southern Ocean are significantly correlated in a negative sense (r=-0.53, P

AB - A tree-ring chronology network recently developed from the subantarctic forests provides an opportunity to study long-term climatic variability at higher latitudes in the Southern Hemisphere. Fifty long (1911–1985), homogeneous records of monthly mean sea-level pressure (MSLP) from the southern latitudes (15–65?°S) were intercorrelated on a seasonal basis to establish the most consistent, long-term Trans-Polar teleconnections during this century. Variations in summer MSLP between the South America-Antarctic Peninsula and the New Zealand sectors of the Southern Ocean are significantly correlated in a negative sense (r=-0.53, P

U2 - 10.1007/s003820050172

DO - 10.1007/s003820050172

M3 - Article

SN - 0930-7575

VL - 13

SP - 375

EP - 390

JO - Climate Dynamics

JF - Climate Dynamics

IS - 6

ER -