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  1. 9 Σεπ 2022 · PDO is a decadal mode of sea surface temperature variability in the North Pacific, with opposite signs in the eastern and central-western basins. It is linked to hydro-climate impacts in North America and correlated with ENSO, but with different timescales and spatial patterns.

  2. The Pacific decadal oscillation (PDO) is a robust, recurring pattern of ocean-atmosphere climate variability centered over the mid-latitude Pacific basin. The PDO is detected as warm or cool surface waters in the Pacific Ocean, north of 20°N.

  3. The Pacific Decadal Oscillation (PDO) is often described as a long-lived El Niño-like pattern of Pacific climate variability (Zhang et al. 1997). As seen with the better-known El Niño/Southern Oscillation (ENSO), extremes in the PDO pattern are marked by widespread variations in the Pacific Basin and the North American climate.

  4. PDO is a long-lived El Niño-like pattern of Pacific climate variability that affects the North American climate. It is measured by ocean temperature anomalies in the northeast and tropical Pacific Ocean and has positive or negative values depending on the phase.

  5. The Pacific Decadal Oscillation (PDO) is a long-term ocean fluctuation of the Pacific Ocean. The PDO waxes and wanes approximately every 20 to 30 years. From ocean surface topography data, together with other ocean and atmospheric data, scientists can determine whether we are in a ‘cool’ phase or a ‘warm’ phase.

  6. Pacific Decadal Oscillation (PDO) is a long-term ocean variability in the Pacific Ocean, similar to a long-lasting El Niño event in Pacific climate variability (Zhang et al., 1997). The pattern of PDO is indicated by variations in the Pacific basin and North American climates.

  7. The Pacific Decadal Oscillation (PDO) is defined by the leading pattern (EOF) of sea surface temperature (SST) anomalies in the North Pacific basin (typically, polewards of 20°N). The SST anomalies are obtained by removing both the climatological annual cycle and the global-mean SST anomaly from the data at each gridpoint.

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