1. Speaker/ Pei-Ning Kirsten Feng Advisor/ Yu-Heng Tseng
Modeling North Pacific Decadal Variations and Their Teleconnection Patterns
Speaker/ Pei-Ning Kirsten Feng
Advisor/ Yu-Heng Tseng

2. Outline Overview Motivation Objective Data and Model
Ongoing / Future work
Summary

3. North Pacific Decadal Variations
The NPGO mode closely tracks the second EOF of North Pacific SSTa, also referred to as the "Victoria Mode”(Bond et al., 2003). The NPGO is distinct from the Pacific Decadal Oscillation (PDO) mode (Mantua et al., 1997), which emerges as the first mode of SSTa and SSHa in the Northeast Pacific. However the NPGO is the dominant mode for salinity and nutrients.
[Di Lorenzo et al.,2008; Bond et al., 2003]

4. Pacific Decadal Variations
PDO AREA
[Di Lorenzo et al., 2008]

5. North Pacific – AL/PDO
Warm Phase Cool Phase
The Pacific Decadal Oscillation (PDO) Index is defined as the leading principal component of North Pacific monthly sea surface temperature (SST) variability (poleward of 20N).
[Mantua et al., 1997]

6. North Pacific – AL/PDO
The Pacific Decadal Oscillation (PDO) Index is defined as the leading principal component of North Pacific monthly sea surface temperature (SST) variability (poleward of 20N).

7. North Pacific – AL/PDO
VIMONT et al., 2003

8. PC1, ENSO, PDO Index

9. North Pacific – AL/PDO

10. Why NPGO index
Recently it is found that PDO index can’t explain those variations in the ocean. However NPGO pattern is even more similar with them.
Di Lorenzo et al., 2008

11. North Pacific – NPO/NPGO
North Pacific Gyre Oscillation, NPGO:
The NPGO is defined as the second dominant mode of SSHa variability in the Northeast Pacific [180°–110°W; 25°N–62°N] and is correlated with the second mode of North Pacific SSTa.
[Di Lorenzo et al., 2008]

12. North Pacific – NPO/NPGO
The NPGO leads decadal variations in the strength of the Kuroshio-Oyashio connecting California and Japan.
Di Lorenzo et al., 2008

13. NPO and ENSO Modoki
The dynamics that link ENSO to PDO are referred to as the ‘atmospheric bridge’12, whereby atmospheric teleconnections to the extratropics excited by ENSO project onto the atmospheric variability of the Aleutian Low, which then drives the ocean PDO pattern.
Di Lorenzo et al., 2010

14. Combined EOF

15. EOF Time Series

16. Combined EOF 16

17. Atmosphere-Ocean Interaction
[Di Lorenzo et al., 2010]

18. Teleconnection Atlantic Patterns Pacific Patterns Global Patterns
Discussion

19. Teleconnection -- PNA

20. Atlantic Pattern -- NAO
The NAO is the dominant mode of winter climate variability in the North Atlantic region ranging from central North America to Europe and much into Northern Asia. The NAO is a large scale seesaw in atmospheric mass between the subtropical high and the polar low.

21. Pacific Pattern – NPO/WP
Orthogonally rotated principle component analysis(RPCA) of Northern Hemisphere 1-month mean 700 mb height is used.
The cold season West Pacific Oscillation has a strong center over or somewhat east of Kamchatka at 50-60°N, 160°E-170°W.
[Barnston and Livezey, 1987]

22. Pacific Pattern – WP
The western pacific pattern (WP) is the SLP EOF2 pattern during DJFM in the region of 20~85N, 120E~120W.

23. Pacific Pattern – NPO/WP
The North Pacific Oscillation (NPO) in sea level pressure and its upper-air geopotential height signature, the west Pacific (WP) teleconnection pattern, constitute a prominent mode of winter midlatitude variability, the NPO/WP.
Its mature-phase expression is identified from principal component analysis of monthly sea level pressure variability as the second leading mode just behind the Pacific–North American variability pattern.
[Barnston and Livezey, 1987]

24. Global Pattern -- AO
The AO is the dominant pattern of non-seasonal sea-level pressure (SLP) variations north of 20N, and it is characterized by SLP anomalies of one sign in the Arctic and anomalies of opposite sign centered about 37-45N.
[Todd Mitchell , 2004 ]

25. Global Pattern -- AO
The loading pattern of AO is defined as the first leading mode from the EOF analysis of monthly mean height anomalies at 1000-hPa (NH). Year-round monthly mean anomaly data has been used to obtain the leading patterns.

26. Global Pattern and TeleconnectionAO
AL ←→ PDO
PNA
NAO
KOE
NPO ←→ NPGO WP
CPW
ENSO / EPW
How these oscillations play roles in the long term climate?

27. Motivation Low-frequency oscillations are not known well.
Why there are so many decadal variations with similar patterns on time series? Are the related?
What might be the possible mechanism for those oscillations?

28. Objective
First we want to summarize the oscillations and determine their relations, especially stressed on the Pacific area.
We want to compare the model simulation to the observations and see if those oscillations are shown in the resolutions.

29. Data Source Model Methods
Methods and Model
Data Source
Model
Methods

30. Data source Hadley SST Hadley SLP NCEP/NCAR Reanalysis 1
1º x 1º HadISST1 from 1900 to 2009.
Hadley SLP
5º x 5º HadSLP2 from 1900 to 2009
NCEP/NCAR Reanalysis 1
2.5º x 2.5º Reanalysis 500 Height from 1950 to 2009

31. Model ( ECHAM5 / SIT / DIECAST )
Year: 1871 to 2008
ECHAM5 –
AGCM, running at various resolutions.
SIT –
a one-column
snow/ice/ocean model with 41-level ocean+ 2-level ice + 2-level snow.
DIECAST –
OGCM with 2 degree in the equator, covering from 60°S to 60°N, with 31 levels.
ECHAM (AGCM)
19 levels
T31
SIT (Air/Snow/Ice/Thermocline)
2snow+2ice+41 water levels
DIECAST (OGCM)
31 Levels (2 deg)

32. Ongoing Work Future Work
Ongoing / Future Work
Ongoing Work
Future Work

33. Ongoing / Future Work
Analysis of the model resolution

34. Summary

35. Summary

36. Atmosphere-Ocean Interaction
PDO
SSTa PC-1
NPGO
SSHa PC-2
ENSO
Model reconstruction
A. PDO (corrcoef)
B. NPGO (corrcoef)
C. Teleconnections
Observation data:
SLP : Hadley SLP
SST : HadISST
AL & NPO forcings

37. ……つづく