4.7 Article

Modulation of ENSO teleconnections over North America by the Pacific decadal oscillation

期刊

ENVIRONMENTAL RESEARCH LETTERS
卷 17, 期 11, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-9326/ac9327

关键词

ENSO; PDO; teleconnections; large ensembles

资金

  1. NOAA Climate Program Office Climate Variability and Predictability Program
  2. NSF [AGS 1554659]
  3. CIRES Visiting Fellows Program
  4. CIRES [NA17OAR4320101]
  5. National Science Foundation
  6. US National Science Foundation
  7. National Oceanic and Atmospheric Administration
  8. National Aeronautics and Space Administration
  9. Department of Energy
  10. NOAA Cooperative Agreement

向作者/读者索取更多资源

This study reveals the significant impact of the Pacific Decadal Oscillation (PDO) on the temperature and precipitation teleconnections of El Nino Southern Oscillation (ENSO) events over North America, with positive PDO enhancing El Nino teleconnections and diminishing La Nina teleconnections.
In this study, we investigate whether the Pacific decadal oscillation (PDO) can enhance or diminish El Nino Southern Oscillation (ENSO) temperature and precipitation teleconnections over North America using five single model initial-condition large ensembles (SMILEs). The use of SMILEs facilitates a statistically robust comparison of ENSO events that occur during different phases of the PDO. We find that a positive PDO enhances winter and spring El Nino temperature and precipitation teleconnections and diminishes La Nina teleconnections. A negative PDO has the opposite effect. The modulation of ENSO by the PDO is mediated by differences in the location and strength of the Aleutian Low and Pacific Jet during ENSO events under different phases of the PDO. This modulation is a simple combination of the individual effects of the PDO and ENSO over North America. Finally, we show that ENSO and the PDO can be used to evaluate the likelihood of the occurrence of temperature and precipitation anomalies in different regions, but cannot be used as a deterministic predictor of these anomalies due to the large variability between individual events.

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