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EGU: 25Apr2012, Wed. Structural Interrelationships of the Evaporation-Precipitation Satellite-based Fields: Application of the Complex Networks By Irina Petrova 1,2* Alexander Löw 1 , Christian Klepp 1,2. 1 Max-Planck Institute for Meteorology, MPI, www.mpimet.mpg.de

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EGU: 25Apr2012, Wed

Structural Interrelationships of the Evaporation-Precipitation Satellite-based Fields: Application of the Complex NetworksBy Irina Petrova 1,2*Alexander Löw 1, Christian Klepp 1,2

1 Max-Planck Institute for Meteorology, MPI, www.mpimet.mpg.de

2 Meteorological Institute, KlimaCampus, University of Hamburg,

Hamburg, Germany

* [email protected]


Goals and Objectives:

  • Analyze topology of the single/ coupled precipitation

  • and evaporation networks

  • 2.Investigate the prominent global teleconnection patterns

    in the constructed networks

  • 3. Identify physical properties within the Climate Networks fields

2

d(2,3)

3

1

d(1,3)


Datasets and Experimental Setup:

Datasets used::

HOAPS: Hamburg Ocean Atmosphere Parameters and fluxes from Satellite data [http//:www.hoaps.org]

GPCC: The Global Precipitation Climatology Center [http//:www.gpcc.dwd.de]

HOAPS

(satellite, ocean)

1987-2005

HOAPS-3

(ocean)

GPCC

(gauge, land)

Evaporation

  • T63 (1.8)

  • Monthly

  • 1992-2005

  • 7968 vertices

Precipitation

  • T63 (1.8)

  • Monthly

  • 1992-2005

  • 13834 vertices

1


Datasets and Experimental Setup:

Datasets used::

HOAPS: Hamburg Ocean Atmosphere Parameters and fluxes from Satellite data [http//:www.hoaps.org]

GPCC: The Global Precipitation Climatology Center [http//:www.gpcc.dwd.de]

HOAPS

(satellite, ocean)

1987-2005

HOAPS-3

(ocean)

GPCC

(gauge, land)

Evaporation

  • T63 (1.8)

  • Monthly

  • 1992-2005

  • 7968 vertices

Precipitation

  • T63 (1.8)

  • Monthly

  • 1992-2005

  • 13834 vertices

1


CCN Construction:

Model used::

PYCLIMATENETWORK:[J.F Donges et al. 2009]

Single/ Coupled Evap-Precip Networks:

  • Similarity Criteria:

  • - Pearson correlation (zero lag)

  • - Spearman rank (zero lag)

  • Threshold: 99,9% significance level (t-test)


Teleconnection Patterns: ENSO

Degree Centrality field of the Precipitation Network

Source - point

Correlation values of the ICTZ location neighbours

within the Precipitation Network


Teleconnection Patterns: NAO+ and NAO-

Degree centrality of the precipitation network [Dec-Mar]Thrsh=0.43

Correlation of monthly mean Dec-Mar precipitation with the station-based NAO index [Andersson et al. 2010]


Teleconnection Patterns: NAO+ and NAO-

Positive Correlations within the precipitation network [Dec-Mar]

of the neighbours at two locations: Bergen (Norway) and Gibraltar

Correlation of monthly mean Dec-Mar precipitation with the station-based NAO index [Andersson et al. 2010]


Coupled EVAP-PRECIP Fields:

Evaporation

Precipitation

1

Cross Degree Centralities of coupled

Precipitation-Evaporation Networks (thresh. = 0,25)


Downstream Source Feature:

Precipitation field: Receiver - point

1

Correlation Values of the Precipitation Neighbours Within the Evaporation Field

and Cross-Degree Centrality (background filed) (Thrsh=0,25)


Outlook: Conclusions and Expectations

  • 1. Evap-Precip Network structure resembles major teleconnection patterns

  • 2. High DC coupled evap-precip fields reveal spatial source-receptor feature

  • 3. Statistical analysis operation V.S. CCN physical features

  • (Surrogate data, Transfer Entropy)

  • 4. Comparison/ validation of the CMIP5 ESM-MPI using HOAPS dataset

2

d(2,3)

3

1

d(1,3)


Acknowledgements:

The author is grateful for the fruitful collaboration, information and PYCLIMATENETWORK software support to the Potsdam Institute for Climate Research(PIK), and especially to Jonathan Donges and Norbert Marwan

The author is also thankful to the HOAPS group at MPI-M, UniHH and DWD for the provided HOAPS - GPCC datasets.


THANK YOU

[email protected]


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