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Cluster analysis of tropical cyclone activity in the Atlantic and the Pacific

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Title: Cluster analysis of tropical cyclone activity in the Atlantic and the Pacific


1
Cluster analysis of tropical cyclone activity in
the Atlantic and the Pacific
  • Suzana J. Camargo
  • Lamont-Doherty Earth Observatory
  • Columbia University

Meteorological Research Institute, Tsukuba,
Japan, February 17, 2009.
2
Tropical Cyclone Tracks, ENSO and MJO
  • Importance different track types have higher
    incidence on some years or when the MJO is active
    and make landfall in different regions.
  • Identify different track types, their seasonality
    and relation with large-scale circulation, ENSO
    and MJO.
  • New clustering technique used Mixture of
    polynomial regression models (curves) to fit the
    geographical shape of the trajectories.

3
Clustering Technique
  • Developed by S.J. Gaffney and P. Smyth
  • - S.J. Gaffney (2004), Ph.D. thesis, UC Irvine.
  • Mixture of polynomial regression models (curves)
    to fit the geographical shape of the
    trajectories.
  • Fitting by maximizing the likelihood of the
    parameters.
  • Rigorous probabilistic context for clustering
  • Accommodate easily tropical cyclone tracks of
    different lengths.
  • Applied to extra-tropical Atlantic Cyclones
  • Gaffney, Robertson, Smyth, Camargo and Ghil,
    Climate Dynamics (2007)

4
Western North Pacific Tropical Cyclones Cluster
AnalysisResults
Camargo, Robertson, Gaffney, Smyth and Ghil,
Cluster Analysis of Typhoon Tracks, Part I
Part II, Journal of Climate (2007).
5
Number of clusters
6
Mean Regression Trajectories
7
Mean Regression Trajectories
  • Appropriate number of clusters appears to be
    seven.
  • Quantitative and subjective analysis.
  • Two main trajectory-types straight-movers and
    recurvers.
  • Additional clusters detailed differences in
    shape among these types.

8
TRACKS TROPICAL CYCLONES Western North Pacific
1983-2002
20 TCs
TRACKS
22 TCs
13 TCs
17 TCs
MEAN REGRESSION TRAJECTORIES
8 TCs
13 TCs
Most TCs TY 3-5
8 TCs
9
Distribution of TC angles of movement
10
Number of TCs per Cluster
11
Lifetime
12
First PositionDensity
13
NTC per month
14
Cluster A
TRACK DENSITY
FIRST POSITION DENSITY
NTC ANNUAL CYCLE
Landfall 63
Regression Trajectory
  • 67 reach typhoon intensity

15
Cluster B
TRACK DENSITY
FIRST POSITION DENSITY
NTC ANNUAL CYCLE
Landfall 61
Regression Trajectory
50 only reach TS intensity.
16
Cluster C
TRACK DENSITY
FIRST POSITION DENSITY
NTC ANNUAL CYCLE
Landfall 7
Regression Trajectory
  • 70 reach typhoon intensity

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23
Tracks El Niño years
Tracks La Niña years
Cluster A
Cluster E
Cluster G
24
ENSO Relationship
NTC- Number of Tropical Cyclones
ACE Accumulated Cyclone Energy
Total ACE has a relationship with ENSO (Camargo
Sobel, 2005).
Total NTC per year is not significantly correlated
with ENSO.
25
MJO and clusters
26
Eastern North PacificTropical CyclonesCluster
Analysis Results
Camargo, Robertson, Barnston and Ghil, Geochem.
Geophys. Geosys, 2008.
27
Eastern North Pacific Tracks and Mean
Regression Trajectories
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32
MJO and ENP tropical cyclones
33
North AtlanticTropical CyclonesCluster Analysis
Results
Kossin, Camargo and Emanuel, 2009, in preparation
34
Atlantic clusters tracks
35
Track Density per cluster
36
SST Anomalies
37
Atlantic Meridional Mode
Kossin and Vimont, BAMS 2008
38
Vertical Shear
39
AMM x ENSO
40
GPI PI Composites by cluster
41
MJO modulation
42
Summary Tracks modulation
  • New clustering technique applied to North Pacific
    and North Atlantic TC tracks.
  • Clusters with different properties genesis and
    track regions, intensity, timing.
  • Clusters strongly related to ENSO, AMM
    (Atlantic) and MJO are identified greater
    predictability on seasonal sub-seasonal time
    scales.
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