1. * Irina.Petrova@zmaw.de
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,
2 Meteorological Institute, KlimaCampus, University of Hamburg,
Hamburg, Germany *

2. 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)

3. Datasets and Experimental Setup:
Datasets used::
HOAPS: Hamburg Ocean Atmosphere Parameters and fluxes from Satellite data [http//:
GPCC: The Global Precipitation Climatology Center [http//:
HOAPS
(satellite, ocean)
GPCC
(gauge, land)
HOAPS-3
(ocean)
Precipitation
T63 (1.8)
Monthly
13834 vertices
Evaporation
T63 (1.8)
Monthly
7968 vertices 1

4. Datasets and Experimental Setup:
Datasets used::
HOAPS: Hamburg Ocean Atmosphere Parameters and fluxes from Satellite data [http//:
GPCC: The Global Precipitation Climatology Center [http//:
HOAPS
(satellite, ocean)
GPCC
(gauge, land)
HOAPS-3
(ocean)
Precipitation
T63 (1.8)
Monthly
13834 vertices
Evaporation
T63 (1.8)
Monthly
7968 vertices 1

5. 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)

6. Teleconnection Patterns: ENSO
Degree Centrality field of the Precipitation Network
Source - point
Correlation values of the ICTZ location neighbours
within the Precipitation Network

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

8. 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]

9. Coupled EVAP-PRECIP Fields:
Evaporation
Precipitation 1
Cross Degree Centralities of coupled
Precipitation-Evaporation Networks (thresh. = 0,25)

10. and Cross-Degree Centrality (background filed) (Thrsh=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)

11. 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)

12. 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.

13. THANK YOU