ENSOforced variability of the Pacific Decadal Oscillation - PowerPoint PPT Presentation

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ENSOforced variability of the Pacific Decadal Oscillation

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r (Mar NPI, Dec PDO) Wavelet analysis (1900-2001) 10-64 yrs: r = 0.61. 40 ... For more, see Newman, Compo, and Alexander, Dec. 2003, J. Climate, 16, 3853-3857. ... – PowerPoint PPT presentation

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Title: ENSOforced variability of the Pacific Decadal Oscillation


1
ENSO-forced variability of the Pacific Decadal
Oscillation
  • Matt Newman
  • NOAA-CIRES CDC

See Newman, Compo, and Alexander, Dec. 2003, J.
Climate.
2
Is the PDO independent of ENSO?
3
From Alexander et al 2002
4
Re-emergence
Depth (m)
From Alexander et al 2002
5
Null hypothesis
  • PDO as an AR1 (red) process
  • ENSO forcing

6
Data
  • Hadley Ice Sea Surface Temperature Analysis
    (1900-1999) and Reynolds SST (2000-2001)
  • Monthly mean SST anomalies determined from
    1950-2001 annually-varying climatology
  • Same results (not shown) for 1950-2001 period
    with Reynolds Reconstructed SST

7
Indices 1900-2001
  • PDO (Pacific Decadal Oscillation)
  • Projection of North Pacific SST upon leading EOF
    of monthly North Pacific (north of 20N) SST for
    the years 1950-2001 (Mantua et al 1997)
  • ENSO (Leading tropical Pacific PC)
  • Projection of tropical Pacific SST upon leading
    EOF of monthly tropical Pacific (20N-20S,
    120E-60W) SST for the years 1950-2001
  • NPI (North Pacific Index)
  • Area-weighted SLP in region 30-65 N, 160E-140W
    (Trenberth and Hurrell 1994)
  • All indices smoothed with 3-month or 12-month
    running means 102-yr linear trend removed

8
Indices
(note not detrended here, but centered)
9
Annual cycle of lead-lag correlation (1950-2001)
10
(No Transcript)
11
Wavelet analysis (1900-2001)
12
PDO and ENSO are coherent on both interannual and
decadal periods
13
variance of decadal averages variance of
seasonal averages PDO 0.54 ENSO 0.32 NPI 0.30
14
A null hypothesis
where
July-June mean PDO index
July-June mean ENSO index
white noise
applied to annual mean anomalies
15
Forecast PDO vs. observed PDO
r 0.74
Forecasts are cross-validated
Skill is significantly better (95 level) than
AR1 model
16
Power spectra (annual means)
PDO response to ENSO forcing is redder than ENSO
forcing
17
ENSO-PDO relationshipA good test for coupled
GCMs
18
Comparison of observed power spectra (gray
shading) with CMIP2power spectraannual means
19
Null hypothesis applied to CMIP2 output
20
Summary Slide
  • Null hypothesis of the PDO
  • North Pacific SST integrates effects of ENSO via
    the atmospheric bridge
  • Re-emergence brings back ENSO-induced anomalies
    in succeeding winters (no summer/fall PDO)
  • PDO should be redder than ENSO, e.g.

21
North Pacific SST anomaly should be greater than
Tropical Pacific SST anomaly on decadal
timescales
22
Penultimate Slide
  • Consequences for analysis
  • Dont stratify ENSO into high/low PDO years?
  • Summertime PDO just ENSO?
  • Spring PDO more than ENSO?
  • What other climate integrators might redden
    ENSO?
  • Tree rings
  • Drought (soil moisture anomalies)

23
Last Slide
  • What part of predictable North Pacific decadal
    variability is independent of the Tropics?
  • Data is limited
  • Coupled GCMS must reproduce not only ENSO power
    spectrum
  • but also seasonal cycle of a and b

24
PDO forecast
  • Continued positive next year
  • (assuming that we do not have a cold event in
    the Tropical Pacific)
  • For more, see Newman, Compo, and Alexander, Dec.
    2003, J. Climate, 16, 3853-3857.
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