4.6 Article

Influences of the El Nino Southern Oscillation and the Pacific Decadal Oscillation on the timing of the North American spring

期刊

INTERNATIONAL JOURNAL OF CLIMATOLOGY
卷 32, 期 15, 页码 2301-2310

出版社

WILEY
DOI: 10.1002/joc.3400

关键词

spring; phenology; ENSO; PDO

资金

  1. National Center for Ecological Analysis and Synthesis
  2. NSF [EF-0553768]
  3. University of California, Santa Barbara
  4. State of California
  5. USA-National Phenology Network
  6. Research Coordination Network grant from the National Science Foundation (NSF) [IOS-0639794]

向作者/读者索取更多资源

Detrended, modelled first leaf dates for 856 sites across North America for the period 19002008 are used to examine how the El Nino Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO) separately and together might influence the timing of spring. Although spring (mean March through April) ENSO and PDO signals are apparent in first leaf dates, the signals are not statistically significant (at a 95% confidence level (p < 0.05)) for most sites. The most significant ENSO/PDO signal in first leaf dates occurs for El Nino and positive PDO conditions. An analysis of the spatial distributions of first leaf dates for separate and combined ENSO/PDO conditions features a northwestsoutheast dipole that is significantly (at p < 0.05) different than the distributions for neutral conditions. The nature of the teleconnection between Pacific SST's and first leaf dates is evident in comparable composites for detrended sea level pressure (SLP) in the spring months. During positive ENSO/PDO, there is an anomalous flow of warm air from the southwestern US into the northwestern US and an anomalous northeasterly flow of cold air from polar regions into the eastern and southeastern US. These flow patterns are reversed during negative ENSO/PDO. Although the magnitudes of first leaf date departures are not necessarily significantly related to ENSO and PDO, the spatial patterns of departures are significantly related to ENSO and PDO. These significant relations and the long-lived persistence of SSTs provide a potential tool for forecasting the tendencies for first leaf dates to be early or late. Copyright (c) 2011 Royal Meteorological Society

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