Predictability of monthly North Pacific sea level pressure from monthly sea surface temperature for the period 1933-1976.

A. J. Broccoli, R. P. Harnack

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Empirical orthogonal function (EOF) analysis was used to represent each field (SST and SLP) by a small number of composite variables. Regression analysis was then used in which SST EOF amplitudes were the predictors and SLP EOF amplitudes were the predictands. The analyses were stratified by month, with lags from 0-3 months considered. Of the 84 models developed, 18 were statistically significant at the 10% level. The number of significant relationships was found to decrease with increasing lag, being greatest for SST contemporaneous with SLP. All statistically significant models involved SST's from the period June-January.- from Authors

Original languageEnglish (US)
Pages (from-to)2107-2117
Number of pages11
JournalMonthly Weather Review
Volume109
Issue number10
DOIs
StatePublished - 1981

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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